Original article by Startup Pill

This article showcases our top picks for the best New York based Predictive Analytics companies. These startups and companies are taking a variety of approaches to innovating the Predictive Analytics industry, but are all exceptional companies well worth a follow.

We tried to pick companies across the size spectrum from cutting edge startups to established brands.

We selected these startups and companies for exceptional performance in one of these categories:

• Innovation

• Innovative ideas

• Innovative route to market

• Innovative product

• Growth

• Exceptional growth

• Exceptional growth strategy

• Management

• Societal impact

Top New York Predictive Analytics Startups

Data sourced from Crunchbase and SemRush.

To view the list please check the original article by Startup Pill

The post 101 Best Predictive Analytics Startups in New York of 2021 appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

[Original](http://6 Companies Monetizing Alternative Data) article from Nanalyze

About Nanalyze:

Since 2013, Nanalyze has been publishing insightful, research-driven articles that are read by a large audience of investors (institutional and retail), venture capitalists, corporate executives, company founders, and technology enthusiasts from around the globe.

Article as of July 22, 2021. Published June 22, 2021 by Nanalyze:

6 Companies Monetizing Alternative Data

A recent piece by Barron’s titled “Here Come the Teens: They Can’t Vote, but They’re Old Enough to Buy Stocks” speaks favorably about today’s young get-rich-quick “investors” who scan Reddit forums for ideas and risk it all on YOLO trades. Firms like Robinhood and public figures like the King of SPACs encourage this behavior by pretending these morons stand a chance against the most sophisticated institutional algorithms in the world. “At 16, Davé isn’t your typical trader,” says the piece. Dave sure isn’t.

BSD prop traders are all but gone now. In their place are stock trading algorithms that consume data voraciously and use it to generate alpha. And they’ve been at it for a long time. Today’s teen traders may not know the name Jim Simmons, but this mathematician’s algorithms are often on the other side of the trade.

He may look serious, but inside he’s laughing all the way to the bank – Credit: WSJ From a 2019 Wall Street Journal article titled “The Making of the World’s Greatest Investor”:

Today, Mr. Simons is considered the most successful money maker in the history of modern finance. Since 1988, his flagship Medallion fund has generated average annual returns of 66% before charging hefty investor fees—39% after fees—racking up trading gains of more than $100 billion. No one in the investment world comes close. Warren Buffett, George Soros, Peter Lynch, Steve Cohen, and Ray Dalio all fall short.

Credit: WSJ Big data is what drives these returns, something we wrote about before in our piece on Eight Ways to Use Alternative Data for Trading. The same data can also be used by businesses to gain insights into how operations can generate more revenues and profits. The most interesting data sets are those emerging as a result of software eating the world. Some refer to it as “data exhaust,” others call it “ambient intelligence“, but both terms describe big data that’s being produced constantly based on people’s normal everyday activities. From this data, a wealth of insights can be mined.

6 Companies Monetizing Alternative Data

AlternativeData.org is run by a bunch of former financial analysts, data analysts, and engineers who help institutional investors make the best of all the alternative data sets out there. We perused their database to find some interesting alternative data sets that can be used to take money from teenagers or improve how your business operates.

Data Exhaust from Online Advertising

When you’re generating data about people’s online habits, you probably don’t want to make a big fuss about it. We could hardly find any information about a Florida company called Cyberstream.io except that they know a lot about what people are doing online. Since 2010, they’ve been working with the world’s largest ad exchanges to monitor for digital ad fraud. (Anyone who has ever tried to click their own website ads knows what we’re talking about here.) Cyberstream collects real-time data from over one billion unique visitors monthly via JavaScript code embedded in over 300 million URLs and apps. That translates into an ability to monitor 30% of the world’s online population.

Data Exhaust from Online Purchasing

Similar to Cyberstream, Hong Kong startup Measurable AI doesn’t talk a lot about who they are, but they’re doing something equally extraordinary. Measurable AI collects billions of e-receipts collected directly from users who choose to share their data via a number of consumer apps. (All those “free” apps you use aren’t exactly free.) The company specializes in emerging markets – ten of them – and the sort of data they’re gathering includes spending habits from large companies commonly found in emerging markets.

Credit: Measurable AI The company’s blog contains some interesting information on how their data sets are used, like how to mine for “whales” in the gaming community, the small group of people who contribute a large percentage of revenues in successful games. Studies have shown that just 1% of users are responsible for over 59% of the revenues on iPhone’s marketplace in the United States. Measurable AI can help you find these people.

Data Exhaust from Computer Networks

Third in our list of companies with a one-page web presence is Pasadena California’s own Del Mar Networks which doesn’t even provide a physical address. All we know is some guy named Aiden works there and he’s involved in producing a data set that tracks web traffic at a hardware level. Anyone who has ever used tools like Google Analytics to measure their web traffic knows how data accuracy can be shifty at best. We use these tools and often see mystery spikes or unexplainable phenomenon. (Good luck asking Google to explain the data. They’re too busy crafting their ever-changing “User Experience” hoops publishers need to jump through.) Del Mar Networks has developed “novel techniques for measuring web traffic at minute-level resolution using direct observations of web infrastructure.” That’s about as close to ground truth as you’re going to get.

Data Exhaust from the Courtroom

Most publicly available data sets have already been mined to exhaustion, but they can always be resurrected by doing some good old-fashioned data warehousing. A company called Premonition has put together the world’s largest litigation database which has artificial intelligence algorithms scouring the world, adding millions of legal cases every day. (They claim their algos can read 50,000 pages in under a second.) Consequently, they’re able to start assigning success rates for attorneys which are ready to be uploaded into Salesforce.

A photo of racially diverse people in suits overlaid with some fake numbers – Credit: Premonition One example of how this data comes in handy would be the AbCellera lawsuit against Berkeley Lights. As shareholders in the latter, we were happy to hear the lawyer defending Berkeley Lights, Morgan Chu, has been described as “beyond doubt the most gifted trial lawyer in the USA” who “delivers staggering results for clients.” Wouldn’t it be great to replace these superfluous statements taken from Mr. Chu’s website with his actual court room record, then do the same for the plaintiff? You could then start assigning probabilities to court outcomes. Or better yet, let an artificial intelligence algorithm do it for you.

Data Exhaust from Investors

We monitor hundreds of stocks to keep our fingers on the pulse of today’s hottest trends. To do that, we created portfolios over at Investing.com which can then be tied to price alerts. It’s a free service that also allows you to upload your actual holdings and track performance, a useful tool for any investor who has multiple brokerage accounts they’d like to aggregate. As the third biggest global financial website out there with over 20 million users a month, they’re generating a lot of data exhaust, and a few years back they started monetizing it. Available data includes things like sentiments, price alerts, portfolios, and what their users are searching for. It’s not just startups monetizing data exhaust.

Data Exhaust for Investors

Our own tech investment methodology involves scouring financial filing documents to find red flags because what a company says to the SEC and what they tell the world can be two dramatically different things. For example, the way a company breaks from their routine corporate babble telegraphs what’s happening inside. A simple inconsistency can say a lot. For example, we noticed these two conflicting sentences in a company’s 10-K recently:

Credit: Nanalyze Knowing about an executive’s departure before it’s announced (we’re not saying that’s what happened in the above example) can be very valuable information to have. A paper called Lazy Prices talks about how “changes in language referring to the executive (CEO and CFO) team, regarding litigation, or in the risk factor section of the documents are especially informative for future returns.” These are the sorts of insights a company like Fraud Factors might be able to tease out. For example, they provide 56 fields that measure linguistic features within 10-K filings.

Credit: Fraud Factors We often compare information at yearly intervals to see how forecasts change, or even didn’t change. If every year a company says revenues are five years away, something is wrong. Looking for inconsistencies is just one insight of many Fraud Factors provides by scouring all financial filings submitted to the SEC for red flags, something we’d argue the SEC ought to be doing already.

Some Additional Comments

Think about how much data exhaust a company like Walmart spews forth every day. You can bet Walmart is monetizing that data, but not by selling it. Large companies create internal value with their data. When a company can’t create value using their own data, the next best thing to do is sell it – Investing.com being a good example. Then you have companies that don’t generate the data themselves, but have figured out how to collect data from others, structure it, aggregate it, and sell it.

The question we kept asking ourselves when researching this piece is how these companies are accomplishing what they say they are without availing themselves of some sinister methods? (Insert your own conspiracy theory here.) Alternative data providers don’t talk a lot about how they run their operations, and that’s because they probably want to avoid the prying eyes of data privacy advocates.

Technology will advance whether people complain about it or not. If controversial AI algorithms generate incredible amounts of value for a firm, they’ll bury them so deeply in their Frankenstack that they’ll never be found. And all these political activists masquerading as “ethical AI experts” calling for “transparency in AI” will never know the difference. Point is, we’re all monitored very closely in today’s day and age, whether we like it or not.

Lastly, we can provide no assurance that any of the companies named in this piece are providing accurate and legitimate data. Half of them run one-page sites with little information other than an address. We can only assume the folks at AlternativeData.org vetted them thoroughly before selling their data. Synthetic data is easy to create these days, so always make sure to do your own due diligence before buying data from anyone.

Conclusion

There are a few lessons to be learned here. The first is that today’s teenagers are best served saving their money and putting it towards a STEM education so they can add value to society instead of becoming “creators” searching for handouts. The second is that if you’re not using big data to drive your business, you’ll be quickly passed up by those who are.

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Original post, June 13, 2019

This interview is part of our new AI in Law series, where we interview the world’s top thought leaders on the front lines of the intersections between AI and the legal industry.

In this interview, we speak with Guy Kurlandski, CEO of Premonition, to understand how his company is using AI to transform the legal industry, and what the future of law holds.

1. What’s the story behind Premonition? Why and how did you begin?

**GK: **The legal industry typically operates on relationships and referrals, those are presented and priced based upon a perception of success to a certain degree. We wanted to be able to hire a lawyer with the certain knowledge, that they understood the area of practice and had positive experience not only in that jurisdiction but in that judge’s court. We built and manage the world’s largest litigation database, and utilizing the data we are able to answer the task we set out to answer and many others.

**2. Please describe your use case and how Premonition uses artificial intelligence: **

**GK: **The data is managed with a sophisticated AI application that allows our system to manage the comparability and outcomes to provide clients with transparent decisions based on actual results and facts. The AI is an integral part of managing the decision-making process of who should be hired and how the jurisdiction normally rules, amongst other questions. Hiring a lawyer for litigation and handling a litigation negotiation or insurance claim needn’t be an opaque decision anymore.

3. Could you share a specific customer/user that benefits from what you offer? What has your service done for them?

**GK: **The insurance industry utilizes our ClaimsScan™ product to manage the legal aspects of a claim and mitigates its propensity to become a litigation matter. The system offers insights to the venue and legal representation that has been welcomed in the industry.

Sam Mire, Author Sam is a Market Research Analyst at Disruptor Daily. He’s a trained journalist with experience in the field of disruptive technology.

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View the Insurance Research Letter

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View the Insurance Research Letter

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The post Ontellus And Premonition Partner On Legal Analytics appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

We interview Aileen. She is a Toronto based award winning business strategist with a global footprint, and a passion for creating better systems for exponential growth. She has a background in research, marketing, and digital strategy, having worked with SME’s across several sectors, with a particular focus in legal innovation. She is a co-founder of the Global Legal Hackathon, and Founder of the World Legal Summit; initiatives focused on bringing legal and technology sectors together in collaborative efforts toward legal transformation. We discuss thoughts on how improvements can be made in the Legal community and more.

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Random No Longer Rules: Premonition Analytics and the New Normal in Claims Management

Original post April 17, 2019.

In just a few short years, big data and analytics have fundamentally shifted the way claims departments litigate claims. How are these technologies changing how experts assess risk in the courtroom?

In the movies, plucky heroes are forever setting off to solicit the aid of mysterious wizards. Muttering arcane language and appealing to strange powers no mere mortal could hope to understand, the magician makes the situation either better or worse, taking the end result out of the hands of the poor sods who asked for their assistance.

Until recently, a claims professional probably experienced a similar mixture of hope and helplessness. Lawyers are often seen as the keepers of “secret knowledge.” Yet numerous studies have shown them to be little better than random at predicting the outcome of a given case. The outcome of cases worth millions, too, often come down to a coin toss.

Today, it’s common practice for claims managers to consult data scientists as part of their risk assessment process. Litigation analytics firms help insurers determine when it’s most practical to settle a claim or to proceed to court by identifying red flags based on historical trends. It’s telling that few managers will even hire a lawyer without knowing their courtroom win/loss record; a metric that would’ve been virtually impossible to verify even five years ago.

So, how did we get here? And why?

Moneyball for Law

The science of predictive analytics comes down to isolating reliable bellwether metrics within a given data set. If you can find a factor that is regularly correlated with a given outcome, whether or not you understand why that correlation exists, you’re on your way to cracking the code.

For many years, the $437 billion USD legal services sector was one of the few holdouts in a marketplace that has otherwise been thoroughly disrupted by data-driven efficiencies, price-matching tools and online reviews. Litigation was thought to have too many variables for effective predictive modeling, but a few firms, like Bloomberg, LexisNexis and Thompson Reuters, questioned the conventional wisdom and began to develop products.

Legal analytics researchers eventually isolated the following key predictors for case outcomes:

• Jurisdiction/Court Location

• Case Type

• Attorney Win/Loss Record

• Attorney-Judge Relationship

What they found was that, while the particulars of each case indeed varied widely, the respective track records of the lawyers assigned to the case were the strongest predictor of future results. They looked at not only their overall win/loss records but also how well they fared in the case type at hand in the jurisdiction where the case is to be decided and in front of the judge overseeing the case.

In general, the more historical data an AI has to analyze, the more accurate its predictions will be. Collecting this data proved to be no small challenge, as there is no central repository for court records in the United States (let alone globally). A Miami-based InsurTech firm, Premonition, was the first to come up with a winning and scalable solution for the insurance industry. By scraping millions upon millions of cases from online databases at the federal and state court levels, they were able to generate the largest litigation data repository ever assembled, fueling further breakthroughs in the field.

A Seismic Shift

The insurance industry has been the major beneficiary of these innovations. Insurance claims represent a huge share of the litigation occupying America’s courthouses, and the outcome of a given case can have existential consequences for brokerages. Insurers have, by and large, long been early adopters of new technologies, as they seek to maximize their margins by all means available. Adding technologies that allow managers to exert more control over the claims process once it moves into the legal system adds a degree of security that the industry has never known before.

While some advocates have noted that the costs of these analytics platforms are prohibitive for claimants, thereby granting an even greater advantage to insurers in court proceedings, there’s no way to put the genie back in the bottle. It remains to be seen how profoundly litigation analytics will change the balance of power in the industry, but it’s already clear there is a new normal in insurance.

Contact:

Nathan Huber

Premonition L.L.C.

Chief Business Development Officer

nh@premonition.ai

615-364-0924

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## The Premonition Podcast with Robin Hanson and Ian Collins

We speak to Robin Hanson, who is an associate professor of economics and an author, about legal analytics and the future of law, which culminates in a discussion around a new improved legal system in an ideal world.

Download today and learn.

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Original article from Financial Times

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The following transcript is from the National Law Journal 2019 Emerging Legal Technologies, page 23.

The Basics

LitigationScan™ is a case monitoring system that analyzes the courtroom performance of lawyers to help clients select better representation. “It basically triages cases or claims, tells you if you have a problem such as a tough judge or opposing counsel and offers the top ten best-performing lawyers for each case, as well as the top ten within the company’s current panel firms.”

Change Agent

Most corporate law department case management systems do not even have fields to enter outcomes. With more than 1.3 million lawyers, it is difficult to know if the one hired is the right person for the case type and judge. “For example, if you call your firm and ask for their best person for a contract case in front of Judge X in Orange County, Fla., they wouldn’t know because they don’t keep score.” LitigationScan moves hiring from a relationship-driven process to a metrics-driven one and identifies the top ten best-performing lawyers for each case, as well as the top ten within the company’s current panel firms. “We have one client that was getting a 70 percent win rate, but they could have improved that to 96 percent if they had focused more on what lawyer they were getting. The client said she didn’t even know people on the list generated by LitigationScan, but that’s the point-she wasn’t being told who the best was.”

Unique Approach

While there are more than 80 providers that work with legal analytics, the largest still only use the federal PACER system which accounts for less than 2 percent of cases. “LitigationScan is just one of our products. We are bigger than everyone else combined jurisdiction-wise. We cover 87 percent more than TR, Bloomberg and LexisNexis.”

Toby Unwin, CIO and Co-Founder

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Original post-January 9, 2019

Controversial technology company, Premonition has filed a patent on a technology it claims allows it to store and analyze “anything.” Semantic databases are not new – they’re technology first developed by the United States Air Force in the mid-1970s, but have since gained little traction. The idea is simple – users can store not only data items, but also the relationships between pieces of data. The systems are also capable of storing the meaning behind data, enabling complex queries looking for specific relationships, people exhibiting certain behaviors, or unusual interactions. They’re complicated and often confined to theory due to this complexity. It’s that which Premonition claim to have solved. They claim to have produced a “Model for everything” that has unprecedented simplicity. 

Premonition CTO, Marcelo Triana explained the invention arose from a need to solve their own problems. “Clients have been coming to us for a while now looking to explore rolling out Premonition solutions into completely unrelated areas. Each area required dozens of new tables and new sets of analytical tools. Toby [Unwin, Premonition’s Co-Founder] hates anything that’s not elegant and scalable, so we started to look for solutions.” Unwin and Triana realized that they could express any scenario or textual explanation using a maximum of just 5 database tables. The simplicity of the structure is far easier to implement than existing models, leading the pair to patent it on behalf of Premonition.

“Simplicity enables scale,” explains Unwin. “We can now enter a new industry in unheard of timeframes simply by mapping data to our existing structures. Since the layouts never need to be changed, we don’t need to develop and maintain different systems for different industries. It’s one tool to rule them all,” he enthused. Premonition launched in 2014 and claimed to hold “the World’s largest litigation database” just 2 years later. The firm has drawn controversy from its exposure of the role of relationships within the legal profession and the poor results it claims legal clients often receive from lawyers whose courtroom performance results are a dismal reflection of lofty reputations combined with even higher fees.

The company demonstrated it could apply its “perception/reality arbitrage” analytics in areas beyond law, such as discovering which lobbyists got which bills passed with committees, agencies, and politicians. The firm claims to have parlayed this expertise into consulting for government agencies and industry associations on the effect of various laws on litigation outcomes. A study claiming to predict future relative stock performance from litigation performance also caught the eye of the financial markets leading to inquiries from industries Unwin claims are as diverse as healthcare, government, and finance.

Hence the need for a singular data structure to enable rapid implementing of solutions for disparate industries. “It may sound nerdy,” says Triana, “but, to us, this is art.”

Contact:

Toby Unwin

Director, Premonition LLC

tu@premonition.ai

(407) 376-9585

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Original post by Neil Rose, 14 December 2018

Litigation analytics have fast established themselves, a leading provider has claimed as it named the top law firm and barrister across the higher courts in England and Wales.

Looking at 11,067 cases from 2016 to 2018, Premonition said Stephen Smith QC of Erskine Chambers, who over 21 cases accomplished a 91% win rate, was the best-performing barrister.

Devonshires Solicitors, which won all 12 recorded cases, was the leading law firm.

Also in the top 10 barristers (in alphabetical order) were: Michael Biggs, Paul Chaisty QC, Estelle Dehon, Deirdre Fottrell QC, Alun Jones QC, Martin Pointer QC, Philip Rule, Dan Squires and David Williams.

The other law firms in the top 10 were: Anthony Gold, DMH Stallard, Kaim Todner, Lansbury Worthington, Lawrence & Co, Lax & Co, McMillan Williams, Tandem Law, Universal Solicitors and Wallace.

Premonition’s 2018 report lists top 10s for each major court. Co-founder Toby Unwin recalled in the introduction how angrily some lawyers responded to the first one in 2014.

Toby Unwin, Premonition CIO and Co-Founder

“Now legal analytics is ‘the new black’, and the furore that a US-based start-up business had the audacity to analyse the performance of lawyers and question whether their clients were receiving value has diminished to grumbling acceptance together with the need to pretend to offer similar services,” he said.

“Many general counsel now require performance data from their law firms. This goes beyond asking, ‘Was your lawyer responsive and courteous?’ to understanding hard outcome and results data…

“A few law firms realise that winning new clients is simple when you can prove you are better than their existing lawyers. Displaced firms are reluctantly joining the performance bandwagon rather than risking falling further behind.”

Mr Unwin said it was “surprising” to learn that many of the law firms “currently touting their prowess on their smart web sites about Bitcoin, autonomous vehicles and drone law have never tried a single case in any of these areas”.

Other findings were that the Bar, as represented in the higher courts, “is even less diverse than the already poor Bar Standards Board figures” and that, as a group, litigants in persons outperformed professionals.

“The legal landscape is shifting, and analytics is driving that change,” Mr Unwin insisted. “With only a 3% correlation between higher fees and better performance, the profession is ready for perception/reality arbitrage. “The way law firms and barristers are instructed will never be the same again.”

Mr Unwin stressed, however, that “no one expects” law firms and barristers to be instructed on the basis of this information alone.

He acknowledged that other factors could mitigate a ‘lost’ case, such as achieving a reduced quantum, and that it did not take account of settlements.

“These points are for the lawyers concerned to argue and explain when asked about their track record by those clients who have Premonition’s data.”

He also questioned that claim that some lawyers who have low win rates only take the toughest cases, and vice-versa, saying the cab-rank rule prevented this.

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November 7, 2018 – (InvestorPlace)

In the insurance industry, litigation is the field of last resort to resolve disputes between claimants and insurers. Despite the insurer typically possessing big advantages in terms of resources and experience, choosing the wrong attorney can turn slam dunk cases into coin tosses. An unlucky toss can mean the loss of millions. Only with the recent rise of legal analytics has it become possible to truly see which lawyers generate real return on investment for their clients.

Miami-based firm Premonition AI announced the release of its LitigationScan™ service this week, a new report which analyzes the courtroom performance of lawyers to help clients select better representation. By quantifying a potential hire’s performance and comparing it to that of other available lawyers, LitigationScan™ could prove to be a useful tool for insurance claims managers and general counsel seeking to lower their loss and expense ratios.

“Over the past few years Premonition has assembled a database of tens of millions of court records,” notes Premonition Co-Founder & CIO Toby Unwin. “We’ve taught our AI to create performance metrics (win rates) for individual attorneys, and this information has proven to be of great interest to their current and potential clients. Insurers are already seeing real and significant savings.”

LitigationScan™ seamlessly integrates Premonition technology into an insurer’s existing claims system. The dashboard, designed for case managers, displays the top ten best-performing lawyers for each case, as well as the top ten within the company’s current panel firms. LitigationScan™ automatically scans emails for cases, pulls the relevant data from its database, and generates a report.

The streamlined report uses a simple traffic light-inspired color code to forecast the expected results based on the lawyers, judge, case-type and jurisdiction involved.

“Green means there’s a strong likelihood of victory; yellow means moderate difficulty is ahead, and red means that settling the case is probably your best option,” Unwin explains.

LitigationScan’s findings often hew against conventional legal wisdoms because it draws from information which has not been available to analysts prior to the advent of Big Data. By illuminating performance trends, LitigationScan™ frees general counsel to focus on preparing a brief based on the details and facts of their cases. Taking a lawyer’s track record into account results in lower loss ratios over time, as well as lower expense ratios because LitigationScan™ accounts for the likely duration of each case.

“There’s often a bit of reluctance on the part of clients to trust what the data tells them, but after a few months they see that LitigationScan’s findings drive superior courtroom ROI,” says Nathan Huber, Premonition’s Chief Business Development Officer. “This is just the first in a planned series of case monitoring services that we believe will change how the industry as a whole prepares for its day in court.”

About Premonition

Premonition has earned many accolades for its innovative technology. It was named one of the “Best Tech Startups of 2019” by The Tech Tribune, one of the “Top 15 Artificial Intelligence Platforms” by Predictive Analytics Today, and called perhaps “the most disruptive of all” by The Pha Group. The company has been featured in Forbes, FOXBusiness, and many other press outlets. Premonition has assembled the world’s largest legal database, larger than every other legal database combined.

Contact:

Premonition LLC

Nathan Huber

nh@premonition.ai

(615) 364-0924

The post Premonition AI’s New LitigationScan™ Offers Insurers Decisive Court Advantage appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

## I Think the Fundamental Problem With Law Is That Financial Incentives Are Misaligned

The post Lawless Tech Podcast with Toby Unwin appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

New analytics help clients select best available lawyers from retained firms

November 1, 2018 (Business Insurance) – ​The practice of selecting counsel from a panel of law firms on retainer is well-established among larger companies. The benefits of these long-term relationships are obvious: the panel firms develop a familiarity with their clients’ tendencies and areas of need, while the companies’ general counsel is spared the task of seeking sources of reliable advice and representation for each new case. Premonition’s Panel Report gives clients the ability to optimize their panel with performance data. 

Since its establishment, Premonition has sought to quantify litigation wins and losses by analyzing courtroom records. The company has assembled what it asserts is the world’s largest database of court records, which its proprietary AI scans to isolate revealing patterns and trends.

“When a client phones a firm they have on retainer to ask for a lawyer, they are expecting to get the best litigator that firm has available,” says Premonition Co-Founder and CIO Toby Unwin. “And, by and large, the firms will do their best to meet that standard. The trouble is, most firms have no idea who the best lawyer they have available actually is because they don’t keep track of wins and losses.

“At the end of the day, the client gets the lawyer that’s ‘sitting on the bench’; i.e. the one that needs to bill more hours.” Premonition’s AI compiles win/loss records for individual attorneys, among other findings, and uses these to help clients hone in on the best possible representation for a given case.

The Panel Report narrows this focus to show which of the lawyers practicing at a retained firm or panel of firms offers the highest probability of success. The report’s conclusions are based on a number of factors, including:

·         Each lawyer’s overall win/loss record

·         The average duration of their prior cases

·         Their previous performance before the judge assigned to the current case

·         Their previous performance in the jurisdiction and relevant area of case law

Based as it is on raw numbers, the Panel Report’s findings often run contrary to a law firm’s own evaluation of its partners and associates.

“Most popular case management software does not account for wins and losses in court,” says Unwin. “As a result, the other factors that make for the perception of a successful lawyer, such as networking ability, seniority, and even personal style can occlude consideration of how much value they actually generate for clients in court.”

By approaching panel firms with hard performance metrics in hand, clients are better positioned to identify, request and be assigned an attorney who will be a good fit for their needs. Previous research suggests that selecting a lawyer with a better win rate and history of success before a given judge correlates directly with better case outcomes. Clients odds may improve by as much as 30.7% using an analytics-informed hiring approach.

The Panel Report is also intended to help clients evaluate the quality of the firms on their panel. It reveals how many attorneys currently employed by the firm rank among the top performers in their region, allowing clients to compare and contrast the firms on their panel, as well as indicating whether better service is available elsewhere. In one recent example, an engagement for an insurer showed their preferred firm sending lawyers with an impressive 70.5% win rate. However, that firm could have provided counsel with an average 96.1% win rate, 25.6% better. “I’ve never heard of those people,” the client exclaimed when presented with the performance data on the other attorneys in the firm. The client was able to keep the existing relationships with the firms while maintaining control of their panel.

**Contact: **

Premonition LLC

Nathan Huber

nh@premonition.ai

(615) 364-0924

The post Do Law Firms Give Clients Their Best Lawyers? appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

For full article: http://www.infotoday.com/OnlineSearcher/Issue/8301-September-October-2018.shtml

The post Law Library Management and Legal Research Meet Artificial Intelligence appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

Original post by thetechtribune.com The Tech Tribune staff has compiled the very best tech startups in Miami, Florida. In doing our research, we considered several factors including but not limited to:

• Revenue potential

• Leadership team

• Brand/product traction

• Competitive landscape

Additionally, all companies must be independent (un-acquired), privately owned, at most 10 years old, and have received at least one round of funding in order to qualify.

Looking for a badge to celebrate your awesome accomplishment? Find it here!

1. CareCloud

Founded: 2009

Also honored in:

• 2018 Best Tech Startups in Miami

• 2018 Best Tech Startups in Florida

“CareCloud is the platform for high-growth medical groups. Our technology takes care of the people who take care of patients.

Recognized for our award-winning design, we help the country’s highest performing medical groups use technology to better compete in the new medical economy and make patients healthier and happier.

As an early leader in cloud computing for healthcare, CareCloud is dedicated to providing our physicians and their patients with the highest levels of flexible, security and reliability.”

2. Neocis

Founded: 2012

**Also honored in: **2018 Best Tech Startups in Miami

“Developing the latest robotic technology to improve health care. If you are an investor excited about the opportunities in robotics and healthcare or if you are looking for an interesting job opportunity with a top-notch team, please contact us.”

3. Zudy

Founded: 2013

**Also honored in: **2018 Best Tech Startups in Miami

“Zudy is a visionary software company with the world’s only no-code AppDev platform: Vinyl. Vinyl enables enterprises to build highly configurable “Enterprise Ready”​ apps in weeks—not months—integrating seamlessly with all existing and future data sources and systems. Enterprises can end their application backlog without the high costs and long timeframes of traditional application development. With Vinyl, enterprises can increase applications produced from 2 to 50+ per year. The future of AppDev is here.”

4. Willing

Founded: 2015

“Willing makes planning for life after life easy and affordable.”

5. AdMobilize

Founded: 2012

**Also honored in: **2018 Best Tech Startups in Miami

“AdMobilize (www.admobilize.com) is a machine intelligence company making sense of the physical world. The company’s mission is to connect the physical world to the online grid by utilizing pioneering computer vision and artificial intelligence technology. We provide the DOOH, OOH, and Retail industries with the most complete software and hardware platform including: audience measurement, facial detection and recognition, vehicle detection and recognition, gesture recognition, people counting, demographic analysis including age, gender, emotion, and dwell time, just to name a few.

With over 100 clients in 45 countries, our clients have embraced the turnkey nature of the technology; the ability to yield rates; actionable business intelligence; serving of dynamic content; and real-time audience analytics dashboards. Our team of 35 seasoned data science, computer vision, and hardware engineers have created highly scalable solutions equating to the “Google analytics” for the physical world.”

6. itopia

Founded: 2011

“itopia has developed a new virtual infrastructure technology known as “Desktop as a Service”​ (Daas) or “Cloud Computing”​ that’s easier to manage and scale, less costly to operate, and more secure and reliable than traditional IT infrastructure.

With itopia, you use your “real work computer”​ from any device, anytime, anywhere. You never have to worry about backing-up, upgrading servers or installing new software because it’s done for you…seamlessly and all at once.”

7. Home61

Founded: 2014

**Also honored in: **2018 Best Tech Startups in Miami

“Home61 is an online real estate brokerage company. We are changing the way real estate brokerage operates and do business providing our agents and clients with enhanced technology.

We work as a team with a mix of web expert, real estate brokers and well educated managers that is constantly working to grow our company centered around customer expectations and care.

We believe in trust, transparency and client satisfaction.

Home61 a better way to find your new home.”

8. Premonition

Founded: 2014

**Also honored in: **2018 Best Tech Startups in Miami

“Premonition.ai is an Artificial Intelligence system that mines Big Data to find out which Attorneys win before which Judges. It is a very, very unfair advantage in Litigation.

Premonition also has the World’s Largest Litigation Database – Bigger than every major litigation database combined:

• Global case search

• Real time updates”

9. Rokk3r

Founded: 2012

“Rokk3r is a venture builder and the world’s first ‘cobuilding’ platform for entrepreneurs, corporations and investors to create exponential startups. As a partner, Rokk3r increases value, mitigates risk and helps to remain at the edge of innovation. With a focus on leveraging exponential technologies (e.g., the blockchain, artificial intelligence, and Internet of Things) and implementing new-age methods of raising capital, Rokk3r is harnessing the global collective genius to cobuild companies that change the world. Currently, Rokk3r’ portfolio includes 40+ companies.”

10. CargoBot

Founded: 2016

“CargoBot is a powerful and dynamic way of connecting shippers and carriers. It is the innovation and evolution of managing efficiency in a new era of ground transportation. We allow shippers and carriers to work directly with one another through a free platform that pilots business under an auction like format. Shippers enjoy the ability to negotiate rates with multiple carriers, have real-time tracking of their shipments, lower costs, and work with a trusted pre-screened network of carriers. Carriers can now make more money for every mile, receive immediate payment, and manage their own business.”

The post 2019 Best Tech Startups in Miami appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

Originally posted September 5, 2018 by Olivia Covington How long will it take the judge to rule in my case? Will she rule in our favor? Is the opposing counsel any good?

These client questions are common, but concrete answers are hard to come by. Compounding this is the fact that, on average, completing legal research tasks takes an average of six hours per task, according to recent research from Thomson Reuters, so attorneys likely don’t have time to devote hours to researching how similar claims have played out in court.

But in an age of technology, new legal tech tools are being designed to provide attorneys with more specific answers for clients’ numerous questions about expected case outcomes. Known generally as legal analytics, these tools can provide data on how a judge typically rules on summary judgment motions, how long a particular judge generally takes to decide a case or how often the opposing counsel chooses to settle.

In Indianapolis, Taft Stettinius & Hollister LLP recently purchased LexMachina, a legal analytics tool from LexisNexis that the firm plans to use to research potential defendants and the outcomes of cases similar to current clients’ claims. Jayna Cacioppo, chair of Taft’s Indianapolis litigation practice group, said a firmwide committee recommended the use of legal analytics to stay competitive and meet client needs in the ever-evolving legal market.

“This is just a small step into the future,” Cacioppo said. “I think there will be a lot more of this, of artificial intelligence and legal analytics.” Numerous companies offer legal analytics tools, and Indiana Lawyer spoke with representatives from Thomson Reuters, LexisNexis, Bloomberg and Premonition to learn about their specific products. Here’s a look at the most commonly available legal analytics features:

Case outcome predictors

Is your case likely to settle, or are you headed for trial? AI software offered through programs such as Thomson Reuters’ Westlaw Edge makes it easier for an attorney to predict the direction a case will take by reviewing judges’ rulings and common case outcomes in specific jurisdictions.

How long will it take for the judge to rule in your case? Software such as Bloomberg Law’s Litigation Analytics could tell you using “length of case analytics” that track how much time passes before judges issue a decision. Such software often also allows attorneys to search by case type, making it easier to pinpoint exactly how long it will be before a judge issues a decision in a securities case, for example.

What caselaw should you cite to ensure your motion for summary judgment is granted? LexisNexis’ new Lexis Analytics suite uses language-based analytics to find the caselaw a particular judge most frequently cites to when granting summary judgment or other motion types.

Judicial characteristics

Judges can be predictable, and legal analytics tools seek to capitalize on that fact. Products from Thomson Reuters, Bloomberg Law and LexisNexis each offer features that allow attorneys to search by specific judges and uncover a treasure trove of data, such as how a judge typically rules on a specific motion, or how often the judge is appealed.

Premonition, an AI company based in Miami, also offers its customers insights into the relationships between a judge and the attorneys that come before her. Does one attorney tend to lose before that judge? If so, Premonition can provide that information, which founder Toby Unwin said can be beneficial for law firms’ client recruitment and business development efforts.

Firm search

Business development efforts are becoming increasingly important in today’s legal market, and Premonition’s software tries to aid in those efforts by providing information about companies that are sued frequently. Using that information, attorneys can solicit clients who are likely to need their assistance.

Further, Bloomberg Law’s Litigation Analytics program provides data about law firms’ areas of expertise, litigation experience and frequented jurisdictions. That type of information can aid in-house counsel who are looking to contract with a firm on a client matter.

Attorney characteristics

If you’re a client looking for an attorney, there’s an obvious question you’ll ask about every candidate: Are they any good at their job? To answer that question, Premonition offers analytical insights into attorney success rates. More generally, Westlaw Edge can provide biographical information about an attorney, which can be helpful to attorneys seeking to learn more about opposing counsel.

An equally important question: How will this attorney handle my case? Will they settle right away? Unnecessarily go to trial? Lexis Analytics can try to answer such questions by providing data about attorneys’ trial strategies.•

The post Legal analytics help lawyers respond to client questions appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

### Understanding AI & Emerging AI-Driven Solutions for Legal Departments

*Overview: This article and the following, “Understanding Blockchain & Emerging Blockchain-Powered Solutions,” introduce two major technologies that are disrupting the law practice and explore the implications of these technologies on current legal department operations. Here, we consider artificial intelligence and AI-powered tools.  *

Original post from West Stringfellow– August 17, 2018

“There are two deep and abiding truths in the legal industry: no one knows what AI even means…and you need solutions that incorporate AI to resolve discrete problems you face. But that sounds less exciting.” – Joe Patrice, Above the Law, 2017 AI is a vast concept and one that is often misunderstood. 

Technologies that incorporate AI are allowing legal departments to handle an increasing amount of work without commensurate additions to in-house attorney staffing. Digital solutions are automating basic and routine legal tasks, creating new efficiencies. And the use of algorithm-based tools can reduce costs, shape business strategy, and minimize contract risks.

For example, AI technologies are standardizing best practices by assisting with document review and electronic discovery management, online dispute resolution, contract analysis, litigation predictions, the identification of fraud and misconduct, and the execution of due diligence reviews.

• Automated contract review, analysis, and comparison. LawGeex employs the latest in AI, machine learning, text analysis, and natural language processing to review, understand, and improve legal documents. Similarly, Axiom has added machine learning to contract review in its AxiomAI program.

• Legal research. The ROSS Intelligence tool is an AI legal research platform. It is built on ROSS Intelligence’s proprietary legal AI framework, Legal Cortex, which incorporates IBM Watson’s cognitive computing technology. According to Blue Hill Research, this solution uses natural language processing and machine learning capabilities to identify legal authorities relevant to certain cases. Users conduct searches by entering questions, and the ROSS tool can understand the intent of the question and provide in-context responses.

• Legal metrics analysis. The Premonition litigation database claims to be the largest in the world, and the company’s AI solutions are designed to analyze attorney litigation metrics, including success rates and the duration of cases. Judge, court, and expert witness metrics are also available. The database provides risk and loss information for in-house counsel and risk managers.

• Risk prevention. Intraspexion applies deep learning algorithms to tools that can identify potential legal violations or risks before they occur by scanning communications such as emails and messaging applications. Real-time monitoring and automated risk management systems for legal entities are expected to proliferate because their speed and convenience make them indispensable tools in the legal sphere.

AI’s Impact on Metrics for Assessing Legal Department Performance

AI-powered tools can play a considerable role in improving legal department performance. Respondents contributing to the Thomson Reuters “2016 Legal Department In-sourcing and Efficiency Report” indicated that the efficiencies derived from digital analytics gave in-house counsel more time to devote to strategic work and the legal aspects of the job.

Moreover, digital analytics and enterprise legal management solutions are so versatile that legal departments can select the KPIs or metrics that are best suited for their situation and better document how department performance aligns with the company’s overall goals.

The integration of new AI technologies – for example, predictive analytics and scenario modeling – into in-house legal departments is also creating new metrics against which departments can be measured. Certainly, department budget, actual spend, types and volume of legal matters, and other traditional KPIs remain highly relevant when it comes to assessing department performance, but the use and integration of technology tools are supplementing these traditional KPIs.

The LexisNexis CounselLink benchmarks law department performance in three areas:

• enterprise-level technology systems that capture information, drive workflows, and automate tasks;

• analytics that facilitate discovery and communication of meaningful patterns of data; and

• general processes in place that streamline outcomes.

Securing Buy-in for In-house AI Adoption

Despite strong endorsements for the value of AI solutions across industries and within certain segments of the legal industry, the adoption curve for new technologies within corporate legal departments is not a steep one, especially among smaller departments.

A Thomson Reuters survey published in 2017 shows that the rate of AI adoption in small in-house legal departments is low. Only 21 percent of respondents believe AI will be mainstream in legal departments within five years; the majority believe it will take another ten or more years to ignite.

Three factors – cost, trust/reliability, and fear of change – are, according to the survey, at the root of in-house counsel’s hesitancy to adopt digital solutions.

• Cost – Although AI tools are anticipated to create cost efficiencies for corporate legal departments, there are concerns over the costs of implementing and supporting these technologies.

• Trust – Some in-house counsel are uncomfortable with removing the human element from tasks because it also removes ownership and accountability.

• Fear of Change – Lawyers and the broader legal industry are known to be risk adverse and resistant to change. But also contributing to such fear in this instance is AI’s potential to bring about job displacement.

Steve Lohr of the New York Times found that AI adoption will be a “slow, task-by-task process” that will not be detrimental to jobs for a long time. SA Mathieson from ComputerWeekly.co corroborated Lohr’s perspective, explaining that legal professionals will not be replaced by AI and big data because, to be most effective, these tools must be combined with human expertise for processes such as document review. According to Mathieson, new solutions are likely to support lawyers, not displace them.

General Counsel leadership and legal department involvement with other business units in decisions on technology integration can hasten the path to adoption. Securing input from a wide cross-section of company stakeholders is advised when embarking on any infrastructure changes – for example, security concerns, integration with existing infrastructure, and impact on end-users necessitates feedback from many business units.

The post Artificial Intelligence’s Effect on Law and the Legal Department appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

Original Post

Legal Research + Analytics

Legal Research + Analytics systems are defined here as using some form of NLP and machine learning to provide an improved search and data understanding of legal matters, especially case law, as well as those systems that provide analytics, and/or predictive capabilities. This group also includes behaviour analysis systems that relate to litigation, such as judge and jury behaviour prediction.

The following companies listed here are as follows:

• CaseMine

• Intelllex

• Justis

• MikeLegal

• Premonition

• **ROSS Intelligence **

• Voltaire

CaseMine

(A product owned by Gauge Data Solutions Pvt. Ltd.)

Core Product(s): CaseIQ

Main Technology:  Text Analytics, Machine Learning, and Information Retrieval

Key Use Cases: Case Brief analysis and research, legal document review, and keyword based search.

HQ: Noida, Uttar Pradesh, India.

Other Offices: Present in California

Total Staff (approx.): 50

Year of Founding: 2013

Development Stage (e.g. Beta, fully operational): Fully Operational (India and United States), Beta (United Kingdom)

CEO (or equiv): Aniruddha Yadav

CTO (or equiv): Ankur Goel

Target Market: Law Firms, Attorneys, Judges Pro Se Litigants, In-House Counsels etc.

Main Legal Jurisdictions in which you currently operate: India, United States, United Kingdom

Pricing Model(s):

India:

• AI Package: 50,000 INR per annum

• Basic Package: 20,000 INR per annum

United States: Freemium

• AI Package: $ 149.99 per month

• Basic Package: Free

United Kingdom: Beta Version

Software Configuration (e.g. cloud; on-site installation): Cloud Based

Security Standards (e.g. ISO Cert, or other):  256 bit SSL

Company Description and our core product’s key selling point:

CaseMine is a state of the art contextual information retrieval system for the legal domain that leverages the latest data science and AI technology to deliver to its adopters an immediate and significant competitive advantage. Given a certain legal scenario as input (usually in the form of a case brief or pleading),

CaseMine is able to map and retrieve, through a thorough real time algorithmic analysis of millions of legal documents, the exact legal arguments and authoritative precedents that have won cases previously. This mapping is made possible because our legal engine AI, CaseIQ understands how facts, the causes of action, questions of law and other legal principles present within the brief (or the uploaded legal document) interplay with each other to give a particular case its unique flavour and then prioritizes the retrieval of documents involving similar interplays.

Main contact email: hello@casemine.com

Twitter (or other social media):

Facebook Link: https://www.facebook.com/lawcasemine/

Twitter Handle: https://twitter.com/caseminelaw

LinkedIn Link: https://linkedin.com/company/casemine

—

INTELLLEX

Core Product(s): SOURCE, a contextual search engine for external resources, such as judgments, commentaries or legislation and STACKS, a law firm’s dynamic knowledge library with auto-categorisation capabilities.

Main Technology: ML, NLP

Key Use Cases: knowledge management

HQ: Singapore

Other Offices: Barclays Eagle Lab Notting Hill Gate, London, UK.

Total Staff (approx.): 15

Year of Founding: 2015

Development Stage (e.g. Beta, fully operational): Fully operational

CEO (or equiv): Chang Zi Qian

CTO (or equiv): Sim Yan Chuan

Main external investors, if any: NA

Target Market: Law Firms and General Counsels

Main Legal Jurisdictions in which you currently operate: Singapore, UK, Hong Kong and Australia

Reference Clients: NA

Pricing Model(s): Annual subscription and project-based pricing

Software Configuration (e.g. cloud; on-site installation): Cloud

Security Standards (e.g. ISO Cert, or other): N.A.

Company Description:

INTELLLEX develops technology which assists lawyers in building up a knowledge library from their work. INTELLLEX extracts information from and automatically organises lawyers’ documents, and helps lawyers to retrieve answers to questions. INTELLLEX’s AI is trained to recognise legal concepts and is built upon a comprehensive legal ontology.

Lawyers can make use of INTELLLEX to find the most appropriate documents from their own internal library and/or from publicly available sources. INTELLLEX hopes to help lawyers improve their productivity through organisation and provide insight through retrieval, for the purpose of improving their efficiency and quality of work.

At INTELLLEX, lawyers work closely with data scientists and AI engineers to ensure that unstructured legal data is processed in meaningful ways. The latest machine learning and natural language processing technologies are customised to best serve the legal industry. INTELLLEX prides itself in delivering software solutions which are fast, reliable and easy to use.

What is your core product’s key selling point?

Our core product, INTELLLEX ENTERPRISE, currently consists of two integrated knowledge management and research tools, SOURCE and STACKS.

SOURCE is a search engine for external documents, such as judgments, commentaries or legislation hosted on the internet. Our search understands legal queries asked in natural language and work with our ranking algorithms to point lawyers to the most pertinent answers to their questions, bypassing inefficiencies commonly confronted with traditional keyword search.

STACKS is the lawyer’s knowledge library. It consolidates and intelligently organises knowledge output by document types (e.g. submissions, legal advice, etc.) and legal concepts (e.g. defamation, director’s duty, etc.). This taxonomy is based on a proprietary ontology, and is also customisable according to a firm’s areas of specialisation. Once assembled, our AI works in the background to learn the preferences of our client in order to suggest results tailored to their needs.

Main contact email: contact@intelllex.com

Twitter (or other social media): https://twitter.com/intelllexhq

Facebook: https://www.facebook.com/intelllex/

LinkedIn: https://www.linkedin.com/company/intelllex/

—

Justis

Core Product(s):  Case law, legislation, EU law and an intelligent legal research platform

Main Technology: Machine learning

Key Use Cases: Legal research

HQ: Camden, London, UK.

Other Offices: NA

Total Staff (approx.): 30+

Year of Founding: 1986

Development Stage (e.g. Beta, fully operational): Fully operational

CEO (or equiv): Masoud Gerami

CTO (or equiv): Dean Pendley

Main external investors, if any: NA

Target Market: International law firms, Government departments, Lawyers, Barristers, Solicitors, In-House, Public companies, Universities and colleges.

Main Legal Jurisdictions in which you currently operate: United Kingdom, Ireland, the Caribbean, Australia, Canada, New Zealand, USA, and Singapore.

Reference Clients: NA

Pricing Model(s): From £700 per annum, excluding VAT.

Software Configuration (e.g. cloud; on-site installation):  Online (SAAS)

Security Standards (e.g. ISO Cert, or other): NA

Company Description:

Justis gives you access to the most comprehensive collection of common law cases from 1163 and an extensive collection of legislation from 1235. Using our intelligent legal research platform, JustisOne, you can view the most cited parts of a case in seconds, find binding or persuasive cases from other jurisdictions quickly, and determine current and good law using data visualisation.

For over 30 years Justis products and services have been trusted by government organisations, leading international law firms, educational institutions, public companies, and sole practitioners from over 40 countries. This includes over 54,000 legal professionals and 95,000 educational users from over 185 top law schools.

What is your core product’s key selling point?

• Cases from 25 common law jurisdictions

• Search over 1,200,000 cases on JustisOne

• Search over 700,000 legislative provisions on JustisOne

Main contact email: hello@justis.com

Twitter (or other social media): @Justis_london

—

MikeLegal Services Private Limited

Core Product(s): Mike Litigator (Case law research platform), MikeTM Suite (MikeTM Search, MikeTM Watch and MikeTM Manager)

Main Technology: NLP, Deep Learning

Key Use Cases: Legal research, public search before filing of trademark, watching weekly trademark journal for potential infringements, auto-updates of any changes in the trademark portfolio

—

HQ: Gurgaon, India

Other Offices: None

Total Staff (approx.): 7

Year of Founding: 2017

Development Stage (e.g. Beta, fully operational): Fully operational

CEO (or equiv): Anshul Gupta

CTO (or equiv): Ankit Yadav

Main external investors, if any: NA

—

Target Market: Law firms and General Counsels

Main Legal Jurisdictions in which you currently operate: India

Reference Clients: Hero MotoCorp, Altacit Global, Wockhardt

—

Pricing Model(s): Subscription based pricing

Software Configuration (e.g. cloud; on-site installation): Cloud

Security Standards (e.g. ISO Cert, or other):  SSL Certification

Company Description:

MikeLegal is Asia’s first Artificially Intelligent legal associate. MikeLegal is currently focused on IP domain with the mandate to significantly ease and eliminate the effort currently required to manage Intellectual Property related tasks specifically Legal Research (MikeLitigator), Trade Mark Search (MikeTM Search) and Trademark Watch (MikeTM Watch). MikeLegal has and maintains a full repository of all legal cases and trademarks which are kept current in real time. The products are intuitive and require no specific user training and can be in use within an hour for use. MikeLegal works on SaaS model.

What is your core product’s key selling point?

MikeLegal’s key selling point is first the AI that is being used on the data allowing customers to analyse and obtain data which previously would take weeks and many times would miss out on valuable data. Moreover the user experience that MikeLegal is able to provide allow it to be a complete, holistic solution allowing it to provide a better product than the competitors

Main contact email: team@mikelegal.com

Twitter (or other social media): http://linkedin.com/company/mikelegal

—

Premonition LLC

Core Product(s):  ‘Premonition is the World’s largest Litigation Database. It is the World’s largest legal analytics platform.’

Main Technology :The World’s Largest Litigation Database. The World’s Largest Legal Analytics System.

Key Use Cases: Performance statistics for judges, lawyers, law firms, barristers, companies, industries, etc. Global Litigation search and data feed. Risk and underwriting analysis, real time risk monitoring

HQ:  Miami, FL

Other Offices: Ireland, United Kingdom, India, Australia

Total Staff (approx.): 86

Year of Founding: 2014

Development Stage (e.g. Beta, fully operational): Fully Operational

CEO & Co-Founder: Guy Kurlandski

CIO & Co-founder: Toby Unwin

Main external investors, if any: Family Office

Target Market: Claims Managers, Lawyers, Law Enforcement, General Counsel, Risk Managers, Law Firms

Main Legal Jurisdictions in which you currently operate: United States, United Kingdom, Ireland, Netherlands, Brazil, India, Australia, New Zealand.

Reference Clients: NA

Pricing Model(s): We offer system subscriptions, reports, consulting, raw data.

Software Configuration (e.g. cloud; on-site installation): Cloud, API or Integration with existing systems.

Security Standards (e.g. ISO Cert, or other): N/A

Company Description:

Premonition is driving the innovations that make headlines in fields as diverse as legal services, insurance, and healthcare.

In just a few short years, Premonition has built the world’s largest litigation database, bigger than all our competitors combined. Our predictive analytics are consulted by decision-makers at Fortune 500 companies, global law firms, leading academic institutions and non-profits that improve the lives of millions in the developing world.

We tell you which lawyers win actual cases, when to settle and when to press your advantage.

This is perception/reality arbitrage.

What is your core product’s key selling point?

Premonition, the World’s largest litigation database.

Premonition knows which Lawyers win before which Judges. It is a very, very unfair advantage in litigation.

—

Main contact email: info@premonition.ai

Twitter (or other social media): @Premonition_AI

LinkedIn: https://www.linkedin.com/company/premonition-analytics/

—

ROSS Intelligence

Core Product(s):  ROSS

Main Technology: AI, ML, NLP, IR

Key Use Cases: Legal Research

—

HQ: San Francisco, USA

Other Offices: Toronto, USA

Total Staff (approx.): 60

Year of Founding: 2015

Development Stage (e.g. Beta, fully operational): Fully Operational

CEO (or equiv): Andrew Arruda

CTO (or equiv): Jimoh Ovbiagele

Main external investors, if any:

iNovia Capital, Comcast Ventures Catalyst Fund, Y Combinator Continuity Fund, Real Ventures, Dentons’ NextLaw Labs and angels

—

Target Market: Law Firms

Main Legal Jurisdictions in which you currently operate: All United States Legal Research

Reference Clients (optional): Jackson Lewis (https://rossintelligence.com/jackson-lewis-with-ross-intelligence/, https://rossintelligence.com/jackson-lewis-ahead-ai/)

—

Pricing Model(s):

–           Per user

Software Configuration (e.g. cloud; on-site installation):

–           cloud

Security Standards (e.g. ISO Cert, or other):

We use industry leading cloud providers that are trusted by corporations around the world.

Company Description :

ROSS Intelligence builds artificially intelligent tools to enhance lawyers’ abilities – allowing them to do more than ever before humanly possible.

What is your core product’s key selling point?

ROSS is an Artificial Intelligence (AI) system designed to improve the efficiency, accuracy and profitability of legal research. Firms using ROSS have reported a 30% reduction in research time, 40% more relevant authorities translating to an ROI of 177% to 545% off of core search alone.

—

Main contact email: thomas.m@rossintelligence.com

Twitter (or other social media):

–           https://twitter.com/ROSSIntel

–           https://www.linkedin.com/company/ross-inc/

–           https://www.facebook.com/rossintelligence/

—

Voltaire, Inc

Core Product(s):  Voltaire Voir Dire

Main Technology: NLP (IBM Watson and Proprietary Linguistics Models based on Neural Networks), ML (Tensor-based preference detection algorithm & classifier, Neural Network based image recognition & classifier)

Key Use Cases:  Jury & witness background research for voir dire. Single search background reports for law firms on case related individuals.

HQ: Telluride, CO, USA

Other Offices:

Total Staff (approx.): 10

Year of Founding: 2014

Development Stage (e.g. Beta, fully operational): Fully Operational

CEO (or equiv): Basit Mustafa

CTO (or equiv): Basit Mustafa

Main external investors, if any: NA

Target Market: Litigation attorneys & paralegals, trial consultants

Main Legal Jurisdictions in which you currently operate: United States

Reference Clients: NA

Pricing Model(s): (Single trial licenses & discount bundles (voir dire). Subscription pricing for single search application.

Software Configuration (e.g. cloud; on-site installation): Web-based. Cloud.

Security Standards (e.g. ISO Cert, or other):  Voltaire operates on and stores & shares data through exclusively ISO 27001 and SOC2 certified providers. All data encryption is handled in transit and at rest to at least ISO 27001 and SOC2.

Company Description:

Voltaire analyses a wealth of public & social data on prospective jurors and witnesses. Our software uncovers hidden bias and risk factors using predictive analytics of character and behavioural traits. We combine this data with patent pending AI to bring your team a new level of insight. Voltaire saves valuable time and money on jury research and enables your trial team to develop a winning questioning and communication strategy, giving you a head start and an advantage in court.

What is your core product’s key selling point?

The ability to get a comprehensive overview, with analysis and insight, into an individual’s background in real time. Reports are fast, easy to read and concise.

Main contact email: Mike Miceli, CMO

mike@voltaireapp.com

Twitter (or other social media): https://twitter.com/voltaireapp

https://www.facebook.com/VoltaireApp/

The post AL 100 Directory: The Best of Legal Tech appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

### The Immutable Record of Necessity

Contested Nation & Material Disclosures

For anyone who has had the unfortunate experience of a contested divorce, I am deeply sorry. There is not one person I have encountered that ever surfaces from the deep abyss of the contested Family Court system, riddled with a lack of efficacy, collusion, and lacking evidentiary standards, as a winner. Sadly, if children are involved, they, the children, are ultimately the biggest loser. If you are one of the few that believe that marriage is a magical fairytale-land of ‘unicorns, rainbows and lollipops,’ kudos to you. Any married individual I have encountered, either past, present, or most likely, future, will tell you, no, a happy marriage takes work. Moreover, most divorced individuals will tell you,

(T)hey never knew just how bad things could be twisted in the ‘Court system, enter Blockchain.

In marriage and subsequently divorce, expectation management is key. If it were required to peruse the Family Court sites, and resources such as The Liz Library, thereby creating an awareness and education of the legal issues that can ensue from reading real stories of same, perhaps the expectations of the optimistic, impending nuptials would be mediated; or in the least, these individuals would bee-line to their nearest Family Court Attorney, and set up a Prenuptial Agreement, on the Blockchain, of course, see Part III.

New PSA: Prenups are for Everyone

You do not want to be caught in jurisdictional limbo. While I am not an Attorney, nor do I give legal advice, I strongly recommend you speak with an Attorney on their opinion. This is particularly of great importance when considering clauses of your future. Every agreement should include provisions citing 50% custody and placement executable upon the birth of the first child.

In short, when you are in agreement, get that consensus in writing. You would be astounded what is stated in these highly contested Court battles, and the years of litigation it takes to prove a simple common sense agreement was created back when in the day, again, enter Blockchain. After all, why would you agree to have a child and not have 50% legal right to said child. Surely the lay person can see through this, why not the Judiciary?

Alas, until Prenups on the Blockchain become a requirement of obtaining a marriage license along with the requirement of reading at a minimum, one hour of Court Docket research, the lack of expectation management will continue, and is akin to entering into an investment that was poorly disclosed.

Preparing in this manner mitigates, educates and properly discloses the legal risks of matrimony, of which there are many. These over inflated expectations bear significant cost, both tangible and non. They produce a bubble as big as the famed bubbles of yesteryear, circa the 2000–2002, Dotcom, or, 2007–2009, Housing & Credit Crisis. Each, in turn, forced its own reform, so why not marriage and the Family Court?

Family Court a Stealthy Cash Cow

There are two primary reasons for the lack of reform within the Family Court system. First, it is a veiled problem that you must experience, in order to process the sheer magnitude thereof. In other words, it is difficult to imagine how two individuals who loved each other could then use simple nuances in malicious, distorted, dishonest, and manipulative ways to remove the other parent from their child’s life, in an act of war on character. Why these allegations are allowed baffles me to no end. To better illustrate this, think how it must feel to watch an inevitable train wreck, but not be able to stop the trajectory, in other words, without experiencing this, it all seems implausible or full of conspiracy, sadly, it is neither. We are not talking about your average ‘run-of-the-mill’ break of vows,

But rather, we are talking about the battle that intensifies as a function of the time spent in the Family Court system, overburdened and full of inefficiency, Blockchain would rectify and incentivize compromise through the use of smart contracts. This, in turn, would free up resources and offer speedier resolution, stopping the misuse of justice at its root.

These victims of circumstance, generally the optimistic and naive, are what most studies cite as the ‘lucky’ 10% of all Divorces. Many in this cohort are divorcing a narcissistic or truth-avoidant, spouse, who will mobilize innocent children in their all-out assault on the other parent. And, sadly, hey; it is lucrative. The average contested custody cases involve lawyers, experts, and forensics of one type or another, each profiting off of the inefficiency of the Court and each other. Authoring reports based on the data that is outright denied Discovery thereof, a procedural, due process right, which is easily argued away. See Defamation & Denial.

The experts repeatedly delay and deflect as if it was their inherent duty, but then, again, many of their credentials are questionable at best to begin with, and conveniently lacking ‘material disclosure,’ therefore, should this come as a surprise since each endorses both the former and latter and profits handsomely off of such? The question then, becomes, are these professionals mere victims of circumstance, simply surviving in the flawed structure, the Court, which incentivizes this behavior? Or, conversely, are they themselves the fundamental root of this lack of ethics that ensues, perpetuating the well guarded secret, the disparate glitch of justice, where the winners and losers are decided long before any facts are obtained?

Further, is it pure coincidence that their neutral facts and reports magically substantiate their cognitive biases of the greenest pockets? Either way, Blockchain offers a solution throurgh the inherent trust, transparency, and immutability that are synonymous through its solutions in multiple other realms. It is time in the wise words of Office Space, to

‘Fix the glitch’

Whatever your position, the analytics are clear, see Premonition.ai, the number one factor in any case is the relationship between the Judge and Attorney. This only reinforces what all legal research and other litigation analyses point out. There is a grave lack of trust, transparency, and immutability within the current system. Ironically, all of these are solutions of Digital Ledger Technologies, AKA Blockchain.

While legal analytics can be performed by longhand through careful analysis, it is more easily and efficiently achieved through AI which interprets vast quantities of data instantly, see Premonition.ai. The company not only recognizes this, but has partnered with a sister company to assist Family Court litigants in finding a properly prepared Attorney for their case, or more specifically, their particular Judge, a fact that lies in big data.

Thus, Premonition.ai is righting this wrong through Artificial Intelligence. But, what if it could further turbo boost these superpowers through Blockchain technology? What if there existed an easily visible report of which party paid, chose, and was represented; what experts were retained and the frequency, with which they correlate to each Attorney; what if their credentials were mapped in a way so that when under oath, they could not cite they were an expert within their field, but all records of such have not been produced, and yet fail to even offer a ballpark number of cases? What if each of the complaints of ethical violation were available without the burdensome Freedom of Information Act (FOIA)request? What if there was a record of denied Discovery? What if all of these were on an immutable record of trust, and further, what if state funding was tied to such? Of course, not the reports themselves, simply the credentials and trends of professional decisionmakers. Would this then, in turn incentivize ethical behavior that upholds the integrity of justice, offering resolution and equity?

In conclusion, a brief look through the Family Court dockets and research demonstrate that the fields of justice are so bright the Court appears to wear shades… of GREEN.

Now that this aberrant justice is exposed, let’s explore the implications before we turn to the intricate details of the solution, Blockchain.

Author-Jenny Balliet, original article published July 28th

Resources Consulted:

Market Crashes: The Dotcom Crash. (2004). Investopedia. Retrieved 1 July 2018, from https://www.investopedia.com/features/crashes/crashes8.asp

Market Crashes: Housing Bubble and Credit Crisis (2007–2009). (2004). Investopedia. Retrieved 1 July 2018, from https://www.investopedia.com/features/crashes/crashes9.asp

The post For Better, for Worse, Memoirs of the Family Court, A Provocative Problem, a Simple Solution, Blockchain appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

The recent maturation of the foundational technologies needed to support machine learning have made advanced data analytics and sophisticated language processing possible on a scale never before seen.

BY NICOLE BLACK, POSTED JULY 24, 2018 – Original Post

 Nicole Black

There is a treasure trove of litigation data that for years was virtually inaccessible. While court rulings and filings were available and individual documents could be accessed and viewed, the technology needed to search and analyze the data and provide useful, actionable information simply did not exist.

In 2018, that’s no longer the case. The recent maturation of the foundational technologies needed to support machine learning have made advanced data analytics and sophisticated language processing possible on a scale never before seen. Using these tools, massive amounts of data can be sifted through, organized and analyzed in mere seconds.

These capabilities are particularly useful in the litigation arena. Court data and filings provide a wealth of information about judges, their rulings, the litigants, their attorneys, expert witnesses and more. That’s where litigation analytics software comes in. It accesses and harnesses relevant data sets and then makes sense of them and provides the user with the information needed to make informed decisions about the course of a litigation matter.

Of course, the results provided by the software are necessarily affected by the quality of the data upon which they are based. As this concept is often described in the computer science arena, “Garbage in, garbage out.” So it’s no surprise that companies with business models based on the accumulation of law-related information are emerging as the primary players in the litigation analytics space: LexisNexis, Bloomberg Law, and Thomson Reuters all offer litigation analytics software. (Note that I am a Thomson Reuters author). There are also stand-alone litigation analytics software suites, which I’ll discuss below.

A number of different types of analytics tools are available from the different vendors that provide a host of insights into different aspects and players in the litigation process.

Judge analytics tools offer insight into the rulings and decision-making processes of judges, and often provide insight into whether a particular type of motion will be successful if brought before a given judge. Law firm analytics provide an analysis of data relating to a given law firm’s prior litigation history, including case outcomes, clients represented and the lawyers assigned to given cases.

Company analytics includes data regarding a company’s litigation history, including lawsuits, outcomes and the law firms that handled the litigation. Expert witness analytics typically cover data about expert witnesses’ involvement in past litigation, including their CVs, which parties they testified for and whether their testimonies (or parts of it) were excluded. Finally there is case analytics, which focuses on specific types of cases and includes data on the number of cases filed, the length of the time that the case was pending in court and appearances in the cases.

Now that you have an understanding of the types of data covered and how the data is analyzed, let’s dive into the software. Here are six options to consider if your law firm is in the market for litigation analytics software: But note that each product only includes the analysis of certain types of data. Also, unless otherwise indicated, the pricing information for these products is not available on their websites.

First, there’s Bloomberg’s Litigation Analytics, which includes analytics on several different categories of data. This analytics suite includes Company Analytics, which includes data from U.S. district court and court of appeals dockets from 2007 forward; Judge Analytics, covering data on federal district court judges; Law Firm Analytics; Motion Outcomes and Appeal Outcomes Analytics, which are based on Bloomberg Law’s Court Opinion and BCite information; and Length of Case and Appearances & Case Types Analytics, which are based on U.S. district court dockets from 2007 forward, excluding criminal dockets and prisoner petitions.

Lexis Analytics, which was just announced in mid-July and will be rolled out to all customers in September, will include Context, which offers in-depth judge analytics and expert witness analytics. I was shown a demo of Context and found that it provides this information in a very user-friendly, clean interface. Context applies sophisticated language processing to provide analytics gleaned from the following data sets: court data for all federal courts; appellate and supreme courts for all 50 states; and a growing list of trial courts, including case law and court orders. Also included in Lexis Analytics will be Lex Machina, which is already available as a Lexis product separately and offers insights into case timing, resolutions, remedies, findings and damages. Lex Machina analyzes data from the following sources: 10 areas of federal courts (including antitrust, bankruptcies, commercial, employment, product liability, securities, trademark and trade secrets), the Delaware Court of Chancery and government databases for ITC, United States Patent and Trademark Office, and the Patent Trial and Appeal Board.

Westlaw Edge, which is being offered as a Westlaw subscription upgrade, was also just announced in mid-July, and a litigation analytics tool will be offered as part of that software suite. Analytics are provided regarding judges, courts, attorneys, law firms and case types. It covers dockets for every federal case type except for bankruptcy and includes data from 8 million federal cases.

Premonition’s Legal Analytics provides analytics on lawyers, judges and courts, companies, law firms, and expert witnesses and arbitrators. Its database covers most state and all federal courts, and also offers data on courts in the United Kingdom, Ireland, Australia, the Netherlands and the Virgin Islands.

Two other relatively new entrants into the space are Gavelytics and Docket Navigator. Gavelytics provides judicial analytics. Currently only some California superior courts are covered, although there are plans to add more jurisdictions.

Docket Navigator provides U.S. district court analytics for patent, copyright, trademark and antitrust matters. It also includes the ability to receive docket alerts and offers a mobile app. For a single user, access to the patent database analytics is $72 per month and access to the copyright, trademark, and antitrust databases costs an additional $44 per month for each library. The monthly price per user decreases via a tiered system as more users are added, capping with an enterprise rate at $1,580 per month for access to the patent database and an additional $950 per month for access to each of the other three databases.

Now that you have a handle on litigation analytics software, the next step is to figure out which product is the right fit. If a free trial is offered, make sure to take advantage of it. Or at the very least, watch a demo so that you can get a better sense of how the software works and whether the information provided includes the type(s) of analytics that you’re seeking. And once you’ve chosen the right tool for your needs, you’ll be well on your way to taking advantage of advanced data analytics designed to help you make the most strategic and informed litigation decisions possible.

Nicole Black is a Rochester, New York, attorney, author, journalist and the legal technology evangelist at MyCase, legal practice management software for solo and small-firm lawyers. She is the nationally recognized author of Cloud Computing for Lawyers, and she co-authored Social Media for Lawyers: The Next Frontier. She also co-authored Criminal Law in New York, a Thomson West treatise. She writes regular columns for ABAJournal.com, The Daily Record, Above the Law and Legal IT Pros, has authored hundreds of articles and regularly speaks at conferences regarding the intersection of law, mobile and cloud computing, and internet-based technology. She can be contacted at niki.black@mycase.com.

The post Finding Treasure With Litigation Data Analytics Software appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

#### Artificial intelligence is virtually everywhere. But forget about Alexa, self-driving cars and those pesky pop-up ads that follow you around the Internet. Think litigation tools. As the legal profession adapts to changes in the marketplace, more law firms are looking for alternative ways of doing business.

By Mario D. Cometti | July 13, 2018 – Original Post

As the legal profession adapts to changes in the marketplace—from evolving technology to a declining demand for services and competition from a growing number of non-traditional legal providers—more law firms are looking for alternative ways of doing business.

Demand growth for law firm services was “essentially flat in 2017,” according to the “2018 Report on the State of the Legal Market,” issued by the Center for the Study of the Legal Profession at Georgetown University Law Center and Thomson Reuters Legal Executive Institute. “This continues a seven-year pattern (with the exception of a brief uptick in 2011 and a slight negative turn in 2013). It stands in stark contrast to the four to six percent annual growth in demand experienced in the legal market prior to 2008,” the report states.

Over the past few years, there has been “mounting evidence that law firms that proactively address the needs of their clients—e.g., by implementing alternative staffing strategies, pursuing flexible pricing models, adopting work process changes, making better use of innovative technologies, and the like—can achieve significant success,” the report concludes.

Clients’ higher expectations and tighter budgets at firms also are forcing improved productivity and efficiency to maintain a competitive edge. But that’s easier said than done at small and mid-size, budget-conscious law firms.

The ABA’s 2017 Tech Report notes a “troubling” technology gap between large firms and small firms in hardware and software, IT staff and assistance, training, and overall resources. Fifty-eight percent of solo firms and 40 percent of firms with two to nine attorneys reported that they did not budget for technology.

However, there are glimmers of hope. The number of AI products in the marketplace suited for litigation purposes, such as machine-assisted research, document review and analysis tools for trial preparation, is greater than ever, providing myriad opportunities to make it easier and more affordable for smaller and mid-size firms take advantage of innovative technologies.

Startups

Nearly 700 legal technology startups are currently listed the blog of Massachusetts lawyer, writer and media consultant Robert J. Ambrogi, who tracks websites and products related to the legal profession. He says that the legal profession “is a significant market that is ripe for innovation and disruption, and so is alluring to many entrepreneurs” and that “[t]he price of innovation is cheap, in that virtually anyone with a good idea and a laptop can bring a product to market.”

Ambrogi, however, predicts that only a small percentage of the startups will stand the test of time, but the number of startups “attests to the variety and creativity of new products being brought to the legal market.”

The ABA report noted that the most popular software being used by law firms is related to litigation support, available in 39 percent of firms that responded to its survey.

 AI for Litigation

Among the many examples of AI litigation tools is LegalMation,™ which uses AI to automate key tasks involved in the early stages of litigation. It analyzes legal complaints and produces draft versions of answers and initial sets of written discovery in as little as two minutes. Its website claims that the application “shaves hours of attorney or paraprofessional time from each filed case, facilitating greater cost predictability and improved accuracy and productivity.”

AI systems, such as that offered by ROSS Intelligence, leverage natural language processing to help analyze documents. ROSS is designed to improve the efficiency, accuracy, and profitability of legal research and firms using ROSS have reported a 30 percent reduction in research time and found 40 percent more relevant authorities, according to its website.

Allegory automates “everyday litigation tasks, connecting your case from every angle” and helps manage transcripts and leverage deposition testimony.

Similar to the way online retailers use predictive analytics to predict customer behavior, law firms can use analytics to predict how judges and courts rule and the precedents they rely on. “Learn how judges think, write and rule,” touts Ravel Law’s Judge Analytics.

Premonition claims the world’s largest litigation database and mines data to find out “which lawyers win which cases before which judges.” Similarly, Lex Machina’s legal analytics reveal insights “never before available about judges, lawyers, parties, and the subjects of the cases themselves, culled from millions of pages of litigation information.”

What About Ethics?

To date, 31 states have adopted the duty of technology competence set forth by the American Bar Association’s Model Rules of Professional Conduct into their ethical rules, requiring that lawyers “keep abreast of changes in the law and its practice, including the benefits and risks associated with relevant technology**, **engage in continuing study and education and comply with all continuing legal education requirements to which the lawyer is subject.”

The version adopted by the New York State Bar Association reflected in Comment 8 of the New York Rules of Professional Conduct, however, slightly differs from the ABA model rule and states that attorneys should “keep abreast of the benefits and risks associated with technology the lawyer uses to provide services to clients or to store or transmit confidential information.”

While some lawyers view integrating AI into their practice as a risky proposition and many are historically averse to change, others say that not integrating AI into a law practice in the not-so-distant future will not be an option.

“Alexa, what’s a paradigm shift?”

Mario D. Cometti is a partner at Tully Rinckey in Albany, focusing his practice on civil and commercial litigation.

The post The Evolving Litigation Marketplace Demands New Ways of Doing Business appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

### National chambers aims to revolutionise case management IT for barristers

Innovative national chambers Clerksroom is teaming up with the likes of Microsoft and Lloyds Bank to build an end-to-end case management system for barristers that it hopes to start selling to chambers at the start of next year, Legal Futures can reveal.

It aims to cover chambers’ data and process management through to paying barristers and producing their financial accounts, mapping the entire financial audit trail from start to finish.

Clerksroom is using Microsoft’s Office 365, and working with its bank, Lloyds, accounting software provider Xero, web developer morphsites, and Eloquent Technologies, which will deliver the network infrastructure.

It also aims to make the system ‘AI ready’ using the IBM Bluemix platform and collaborating with Premonition AI, a litigation database that details which lawyers win which cases in front of which judges.

Xero will move Clerksroom and barristers away from manual bookkeeping, integrating chambers’ accounts directly with barristers’ accounts and the Open Bank Project.

The project will allow the system to interface with other banks in the near future to enable auto-transfers of cleared funds.

The system will also be built to cater for HMRC’s ‘Making tax digital’ project in order to submit everything electronically.

Clerksroom aims to have the product built, tested and ready for use from 1 January 2019.

Ward: Blank piece of paper

Managing director Stephen Ward said: “We have the opportunity to start with a blank piece of paper, to think differently about what barristers and chambers needs – not simply the work of the clerks.

“It is essential that we have an end-to-end system that accounts for the work we do and – importantly – the financial audit trail, from instruction, to payment, and beyond.

“As all the courts and judiciary are using Microsoft Office 365, it is clear to us that this is the emerging common platform for the legal industry, so why would we not want to take the lead and use this in our new case management system?”

Raymond Hounon, data and AI manager for Microsoft, said: “We are very excited to see the progressive use of Microsoft Office 365 in the cloud and Azure data solutions being used as the common platform across the legal sector – starting with the courts and now for barristers in England and Wales.”

The case management system will also include the further development of Billy Bot, the automated junior clerk created by Clerksroom, as well as My Clerksroom, the chambers’ intranet system that is currently used by 16,000 solicitors in England and Wales.

Barrister Harry Hodgkin, head of chambers and co-founder of Clerksroom, said: “It can often seem that improving and investing in the business of law and the rapid use of technology is a million miles away from the priority of providing excellent and high quality legal solutions and access to justice – but it should go hand-in-hand.”

“To enable barristers to provide access to justice for all and to make a sustainable career from that demands perfectly integrated tools, processes and resources.

“The case management project is therefore essential to allow barristers to administer their role and career effectively and for the legal sector in England and Wales to flourish globally through common interactions in the digital space.”

Original article is featured on LegalFutures website – June 26, 2018

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### “The world’s largest litigation database just got bigger.” – Toby Unwin, Premonition Co-Founder and CIO

June 5, 2018 (DigitalJournal.com) –  Premonition, a Miami-based legal analytics firm has announced the addition of the Brazilian Courts to the world’s largest litigation database. Larger than LexisNexis™, Thomson Reuters™, and Bloomberg™ combined. Premonition utilizes Artificial Intelligence to add thousands of court records per second. This groundbreaking technology enables Premonition to scale its Court Data offerings to a level never before seen.

When it comes to Brazil, most think “big”. The massive country boasts one of the largest populations and economies in the world. Over the years, however political corruption and growing pains from a young democracy have been well documented. Premonition’s website highlights the “very, very unfair advantage” their service provides to clients, yet it seems fitting that this startup company (that has been continually labeled as “disruptive” in an outdated legal system) could bring data transparency to the Brazilian Court system and uncover the hard facts laying beneath the surface.

A wide variety of professionals and industries rely on Premonition Court Data for proper risk assessment, analytics, and decision-making. Among them are, Claims Managers, Lawyers, Law Enforcement, General Counsel, Risk Managers, and many more. “This phenomenal tool is transforming everything,…” says Premonition CEO and Co-Founder Guy Kurlandski. “…This will result in a radical change to the legal industry, and bring transparency to what has long been an opaque and outdated system.” A free copy of the company’s Guide to Court Data and numerous other reports can be found on their website.

In addition to Court Data, Premonition is pushing their innovative efforts to increased levels by downloading all case documents and using a next-generation citation system (JusText™) to measure the persuasiveness (or as the company terms “Win Rate”) of precedents for different case-types and judges. “Currently, there is no other system comparable to this in Brazil,” says Premonition Co-Founder and CIO Toby Unwin.

*“Currently, there is no other system comparable to this in Brazil” *

• -Toby Unwin, Co-founder and CIO at Premonition* The addition of the Brazil Courts to the Premonition database bolsters a growing list of countries that already include India, Australia, the United Kingdom, Netherlands, Ireland, and Canada. With plans already in the works for adding several more countries in South and Central America and recent partnerships with IBM and Verisk, The company has no plans of slowing down their considerable momentum. “*With this tremendous development and opportunity, Premonition is enthusiastic about partnering with the right local representation to reach across a vast Brazilian market,” *says Kurlandski.

Post from: http://www.digitaljournal.com/pr/3803155

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Download LawGeex - The In-House Counsel's LegalTech Buyer's Guide - 2018 Edition

Considered a subset of legal analytics, predictive technology analyzes past legal reference data to provide insights into future outcomes. This new generation of legal technology has been made possible by advances in machine learning and AI. Practical applications include forecasting a judge’s holding in litigation, or an examiner’s allowance of a patent application. This brings companies a new layer of information in making legal choices.

Premonition

www.premonition.ai – Cost: not publicly available

** **

Premonition describes itself as giving a “very, very unfair advantage in litigation.” The Miami-based Artificial Intelligence company boasts Motions Analyzer, which the company says can increase the odds of winning in litigation by showing the win rate of motions in a particular court. For example, based on statistics, the company suggests a change of venue may be the best motion for a specific case type in a particular court. For example, based on statistics the company suggests a change of venue may be the best motion for a specific case type in a particular court. Premonition, working with Fortune 500 companies, has a number of applications including “going down to the lawyer you need to represent you for a particular case type.”

Image from Legal Tech Buyer’s Guide 2018 https://www.lawgeex.com/buyersguide/

Text and images from, Legal Tech Buyer’s Guide 2018. https://www.lawgeex.com/buyersguide/

The post Prediction and Litigation Technology Solution 2018 appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

The following post is originally from, Canadian Lawyer, Author: Fernando Garcia – 05/22/18

Author: Fernando Garcia

On May 10, 2018, I, along with an influential panel of legal leaders and colleagues, spoke at an event organized by the Toronto Lawyer’s Association. As part of its Women and the Law Professionalism series, the topic of the presentation was fostering women leadership in the legal profession. Specifically, the panel discussed the barriers that are facing women, even today, in entering, advancing and staying in the legal profession.

A 2016 study by the American Bar Association found that representation of women within law firms drops sharply as the levels increase. For example, women make up over 51 per cent of first-year law students. By the time a person graduates and becomes an associate, 46 per cent are female. The biggest drop, however, comes at the partnership level. Here, only 22 per cent of partners are female.

Although these are U.S. statistics, there is no reason to believe the numbers are any different in Canada. So, what is happening and how can we fix this?

Here are some of the points and tips that were discussed by our panel:

Cross-sectional challenges

While there are challenges faced by women, these challenges become multiplied when a woman is also a member of another underrepresented group, a first-generation lawyer (meaning the first generation of lawyers within her family) or when someone is faced with the added challenges associated with starting a family or navigating the responsibilities that arise from having one. So, mentorship and sponsorship opportunities were recognized as important tools through which these obstacles can be minimized. By providing access to mentorship programs, by joining and participating in networking opportunities within gender and ethnic professional associations, women can start making significant gains and gaining a stronger voice within the legal profession.

As the only male panelist, I also made sure to emphasize another critical piece of the puzzle: leveraging male leaders in dismantling barriers that continue to thwart women’s advancement. It is important that women find other women who have been there and done that. It is critical to have female mentors and sponsors, who understand the unique challenges faced by women within the legal profession. However, it is equally as important that women also have male sponsors and mentors. In dealing with ethnic and diversity associations, we often speak about the importance of allies and of working together with others who understand the challenges faced by another and can work jointly in developing and implementing solutions. The same applies here.

As noted above, 78 per cent of law-firm partners are male. When training on topics such as unconscious bias is made available to men and the corporate culture encourages their involvement, men have the potential to become important mentors and sponsors for female colleagues. It is clear to see why. In law firms, partners have almost full discretion as to how work is allocated to junior associates. Without training, when allocating work, males tend to engage males who look like them, think like them and act like them. This phenomenon, called “homosocial reproduction,” was identified by Rosabeth Moss Kanter in Men and Women of the Corporation as early as 1977. Limited access to significant clients and to major files are often identified as major roadblocks for female associates, restricting their progression. By making male partners conscious of these tendencies and by making them share the responsibility for the success of female associates, males hold the key to working with women to overcome some of the most significant barriers affecting female associates. Firms and male associates can also assist by making it mandatory for eligible males and females to take parental leave. Making it a parental, rather than a maternal, benefit, can eliminate the stigma that often follows women who take a leave.

Promote yourself

There is another key piece of the puzzle, self-promotion. In April 2015, I wrote here about the importance of becoming your own cheerleader. I noted the need to make sure that others became aware of your achievements, that you nominate others and ask others to nominate you when certain achievements are accomplished.  This advice is as true as ever. There are many amazing women lawyers who are at the top of their game and achieving incredible results for their clients. While these clients may not all be fortune 500 companies (for the work allocation reasons and the representation numbers at the higher levels as discussed above), they are making a critical difference in their client’s lives by achieving important victories in areas such as litigation, immigration, constitutional or other matters. They are, in many ways, the important hidden figures of the legal profession. It is everyone’s responsibility to nominate them for awards and celebrate their achievements, so that they can receive the recognition they so rightfully deserve.

Finally, information is power. Premonition Analytics in the United States used their AI systems to consider the achievements of women within legal practice and the results were outstanding. At all levels, women outperformed men in litigation and in the provision of legal services. Nevertheless, they are paid less, received lesser opportunities to join partnership and are often sole practitioners or work in smaller firms. But information is a key new differentiator. As GCs, we can use this information to assist us in selecting the best of the best for our files and for partners in allocating their best files for the best clients (moving away from the lawyer’s sole discretion in allocating work). There is now proof, beyond just being the right thing to do, to justify a balanced team in providing legal services.

By engaging male leaders in supporting the advancement of women within the legal profession, by understanding the numbers, and by encouraging women to promote their achievements, and by pushing firms to advance women to the partnership levels, we can put pressure to make change happen faster. After all, it is 2018!

Original Source: http://www.canadianlawyermag.com/author/fernando-garcia/recognize-the-hidden-figures-of-the-legal-profession-15750/

The post Recognize the Hidden Figures of the Legal Profession appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

Coming off the heels of his 2017 InsurTech Consultant of the Year Award from Acquisition International, Ty Sagalow, Premonition’s Chief Insurance Officer was the 2018 InsurTech Consultant of the Year from Corporate Insider. In Corporate Insider’s interview with Mr. Sagalow, he talks about why he joined Premonition and how he sees the future of LegalTech.

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Ty, congratulations on being named Corporate Insider’s Insurtech** Consultant of the Year. You certainly have had a fascinating career going from senior positions in traditional insurers like AIG, where you spent 25 years, to high flying lnsurTech companies like Lemonade where you were the founding Chief Insurance Officer. What do you see now on the horizon?**

Ty: Thank-you for this prestigious award. You’re right, I built my entire career around innovation. Eventually, l realized that true disruptive innovation can only come from outside the traditional insurance industry. That first brought me to Lemonade, which has been called the “Uber of Insurance” and now to Premonition.

Tell me about Premonition. What brought you there?

Ty: l saw that a huge area that traditional insurers are getting wrong is where they put their emphasis in saving money, especially in claims. They tend to try to shave some points off of their “expense ratio” by reducing outside counsel fees rather than calculate “win rates” for attorneys and use those to pick which outside counsel to use to lower their “loss ratio.”

Is that where Premonition comes in?

Ty: Premonition has two fundamental value propositions. First, it has the largest litigation database. 87% of all cases in the United States and in many other countries as well are in this database, which includes the judge, the plaintiff’s attorney, the defendant’s attorney, the venue, the duration of the case and the type of case. Simply put, it has more data than all of the competitors combined, really phenomenal. The second value proposition is its artificial intelligence. It is the algorithm that takes this massive database and calculates “win rates”, which attorneys against which attorneys before which judges, in which types of cases are more likely to win. Premonition is the Moneyball method of outside counsel selection based on data not instinct.

So Premonition can help carriers reduce their loss ratios?

Ty: Reducing loss ratio is the single highest benefit you can give insured and carrier. Premonition helps reduce ultimate losses by picking the right attorney for a particular case.

Can Premonition also help reduce outside counsel fees?

Ty: The Premonition database also includes average case duration by attorney by case type so by combining duration and rate, you can figure out which attorneys are actually charging you the most money given how long their cases usually last.

What about Risk Portfolio Management?

Ty: Premonition database is bigger than every other litigation database combined, and with a million new cases added each day, you can determine the types of cases that are increasing and jurisdictions in which there are adverse litigation trends.

Is the Premonition company profiling helpful to an underwriter?

Ty: The most obvious application is for Lawyer’s Professional Liability. Using Premonition, LPL underwriters know what an applicant’s “win rate”. Small company D&O or E&O can be a frustrating underwrite as you don’t have as much information as you want as to what lawsuits have been involved the key management team. Are they going through divorce, having litigation on their credit or have criminal proceedings against them? Premonition solves this problem.

Apart from Premonition, are you working with any other lnsurTech start-ups?

Ty: Several. l am working with an exciting new company that is creating a customized investor protection product for crowdfunding companies and another which is working on an insurance product for pandemic risk. In each case, the client uses technology to help make risks previously uninsurable insurable creating new products for the insurance industry.

All of them sound extremely interesting, can you tell us a bit about each of them?

Ty: Happy to. Metabiota has developed a first of its kind Sentiment Index which generating a mathematical number to estimate the likely frequency and severity of loss from infectious disease outbreaks by looking at public fear and behavioral changes. The index is useful to non-insurance companies, of course, but is extremely useful to insurance carriers providing business interruption coverage for such events. We are working closely with Munich Re to develop an insurance product using the index as a foundation for coverage. Assurely is creating a technology interface with equity crowdfunding platforms enabling the offering of specialized management liability insurance coverage directly to the crowdfunding issuers. With the technology, Assurely, who we will be a MGA, will be able to provide a first of its kind insurance on a semi-automated basis. l am co-founder of Assurely so am very excited about this company. Industrial Risk & Insurance Services is a new MGA out of Las Vegas putting together several programs for high risk areas like Jockey Accident and Health. l am assisting in the creation of these programs from both an underwriting and carrier relationship point of view. Finally, we have put fresh blood into our bitcoin insurance operations which seeks to provide insurance of all type to companies in the bitcoin and virtual currency industry.

**Thanks, Ty. Where can our readers learn more about Innovation Insurance Group’s InsureTech **companies services?

Ty: For Insurtech, go to http://innovationinsurancegroup.com/insurtech/.

For Bitcoin, go out www.bitcoininsuranceagency.com

The post Ty Sagalow – 2018 InsurTech Consultant of the Year appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

There are many different ways to choose a lawyer, and your lawyer selection process will be shaped by the regularity of your need to instruct our friends from the legal profession.

The regular purchaser of legal services might have a favourite lawyer they have used many times before, and the relationship works.  There is no denying that history and chemistry remain crucial to a successful partnership between client and lawyer.

But what about a new piece of work or a need to instruct a new law firm, outside the expertise of your trusted commercial lawyer?

Your regular lawyer will almost certainly try to recommend someone else from the firm. They might secretly loath the lawyer they’re recommending (I’ve seen enough programmes about lawyers, to know an unhappy profession when I see one) but they’ll sell snow to the Eskimos if it means keeping your work (and your cash) in the firm. Just watch them promote Lawyer X as the best thing since, Lawyer Y … who didn’t do so well with your previous case but that’s because “he got a bad judge”

[NB: Premonition could have pre-warned you about the risk of that recommendation backfiring, Lawyer Y always does poorly in front of that particular judge.]

For the irregular purchaser of legal services, it’s more often a case of … legal letter hits the doormat, move into panic mode and yell  … “what do I do now?”

The traditional route is to call a trusted friend, perhaps a professional like an accountant or someone who has been involved in litigation a few times, and has the scars to prove it.

The trouble here is (a) what are their motives for recommending someone and (b) what do they know about whether that lawyer is any good for your case?  Chances are it’s the wrong lawyer, at the wrong time, for the wrong case.

You’re better off sticking a pin in the local yellow pages and hoping for the best and statistically, we know you’ve got a better chance of winning your case that way.

The Traditional Way To Select A Lawyer

• Someone recommended, someone they heard was good

• Down the 19th hole

• Eyes closed, pin in hand

• Legal directory

• Billboard advertising

• Letters after their name

• Firm reputation

• Safety net of big law

• Lowest cost

• Amazing offices

• Accountant told me they were good

• Saw the picture on the back of a bus

• You like their style

• They did really well for you, with a different type of case

• Great networking events

So what’s left?  How do you penetrate this traditionally opaque market for anything like a metric i.e. Which lawyer actually wins the most cases, for my case type, in my court?

Now this might seem like “stating the obvious” but, until recently it would have been impossible to find this kind of insight about and from, the legal profession.   The data is all out there in publically available court records, but it’s never before been collected in a seamless format and let’s be honest with ourselves, the legal profession was unlikely to go all transparent on us, after centuries of smoke and mirrors, hourly rates and old boys club, nepotism and golf clubs.

With the arrival of Premonition and the largest litigation database in the world, that fear of selecting blind has been dramatically reduced by access to real time metrics about lawyers performance in court.  And this data is very much in real time, as Premonition gather information on >40,000 new cases per day, in the US alone.

Suddenly there is a transparent alternative to the traditional methods.  You can now add to the selection mix, data and insight about a lawyers performance in court.  And by slicing and dicing the data, you can drill down into a combination of factors that suit exactly your requirements i.e. lawyer, case type, judge, case duration.

There might have been 15 traditional ways to find a lawyer, but the new kid on the block is the one that counts.

The Modern Way To Find A Lawyer

• Their win rate

The post 16 Ways To Choose Your Lawyer …. Almost All Of Them Worthless appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

Source: Nasdaq – 03/24/2018* (https://www.nasdaq.com/press-release/healthcare-blockchain-disruptor-finishes-technical-tests-20180424-01228)*

“It was immediately clear Premonition was onto something special,” says Shawnna Hoffman, IBM Cognitive Legal co-leader. The two companies had been partnering on various projects in the legal space when Premonition co-founder Toby Unwin realized that advances that Premonition had made in fixing America’s legal system were applicable to the field of medical records, and he now has a patent pending on the innovation.

While several companies are aiming to tackle healthcare records via blockchain technology, Unwin realized they would have difficulty succeeding in the marketplace due to the overwhelming complexity of interacting with thousands of incompatible, legacy healthcare data formats, as well as the lack of economic incentives for users to adopt. “He solved both problems in a completely unexpected way,” explained Hoffman. “It was elegant and insightful.”

“We rapidly realized we were out of our depth in healthcare,” explained Guy Kurlandski, Premonition’s co-founder and CEO. “We don’t know where to start with areas like HIPPA compliance and having cracked the problems that have eluded the industry wasn’t enough to get this over the finish line. It was time to turn to our friends at IBM.” The Watson team immediately brought in Integra Ledger, their blockchain partner.

“Using an industry-governed, permissioned blockchain was an obvious choice for Premonition, given the need to interact with thousands of healthcare companies in a highly trusted way, preserving the privacy of patient records,” explains David Fisher, Integra’s CEO. “Toby had solved the main technical challenge facing healthcare blockchain ventures – the need to interface seamlessly with thousands of legacy data formats. He also saw how blockchain technology would enable Premonition to apply their market-disrupting innovation while absolutely respecting the requirement that healthcare information remain decentralized, private and secure. Blockchain’s decentralization, security and encryption standards made it a natural solution. This could never have been done even a few years ago, or before the arrival of Premonition.”

Integra sent a due diligence team to Premonition’s Miami headquarters just two days after the initial presentation to audit the firm’s auto-normalization AI. *“*Technically, this is one of the most impressive things we’ve ever seen. Premonition is years ahead of the rest of the industry,” said David Berger, Integra’s chief technology officer. The visit culminated in integrating the Premonition system with the Integra Ledger blockchain. “The process was very smooth and well thought out. Integra has great technology,” explained Marcelo Triana, chief technology officer of Premonition.

Technically, this is one of the most impressive things we’ve ever seen. Premonition is years ahead of the rest of the industry – David Berger, Chief Technology Officer at Integra The company envisages the new healthcare venture as a spin-off from Premonition’s industry-leading legal platform, with IBM and Integra Ledger as key strategic partners. Premonition set records with its oversubscribed and record-breaking $100 million seed valuation in 2015, and co-founders Kurlandski and Unwin believe the healthcare opportunity will be far greater than law. “We’re talking about the biggest data problem, in the biggest industry, in the biggest economy. This deal is going to break some new records,” Kurlandski commented, adding that the size of capital raise is not being publicly disclosed but is well into the nine figures and on track to be oversubscribed, consistent with Premonition’s 2015 raise.

The post Healthcare Blockchain Disruptor Finishes Technical Tests appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

When launching a new product and in particular, when that product is disrupting an incumbents rather cosy world, then pushback is inevitable indeed, if you don’t get pushback from the incumbents then you’re doing something wrong.

And so it is with Premonition, litigation analytics and the conclusions we’re able to draw from building the world’s largest litigation database.

The question of how we calculate “win rates” is a regular one and often delivered within an attempt to dismiss litigation analytics model and their future role within the legal profession.

Occasionally we’re forced to dismiss the clearly silly objection.  During one meeting in the UK we’re asked “how do you know about matters that haven’t gone to trial?” to which the answer was simple, “we can’t, because we are data scientists, not magicians”

But there are legitimate questions about our methodology and how the algorithm works.  Whilst members of the magic circle are prohibited from revealing their magic secrets, here at Premonition we’re a more open bunch and always happy to disclose how we arrive at “win rates”;

Determining Wins

The first and most important point to make, is that Premonition data is not an absolute, it’s indicative. Other factors such as lawyer availability, price, personal chemistry, etc. should always affect final selection but, for an industry that works around reputation and word-of-mouth, performance metrics is a powerful tool to add to the mix.

At the heart of our methodology is the determination of an attorney’s “win rate” and what constitutes a win is often hotly debated.

If you call both lawyers on a closed case, both will claim to have “won”.

When launching Premonition, we consulted with lawyers and judges asking them about the general winners and losers for various dispositions (we have over 100 types in the system). There was broad agreement that the fairest approach is to consider judgements as a “win” for plaintiffs, dismissals as a “win” for defendants and settlements should be categorized consistent with local court rules, which generally categorize a settlement as a “dismissal.”

While the system is not perfect, it creates a “level playing field” for which reasoned judgments can be made of a group of attorneys operating in the same judicial environment.

Thus, comparisons between local attorneys operating on the same types of cases in the same jurisdiction can be more “data based” and less subjective.

This is the ultimate goal of Premonition.  Premonition is not a “rocket science” system where we strive for 100% unarguable analysis of every case; rather its function is to spot trends and outliers.

As we’re adding >40,000 cases every day in the US alone, the power of big data becomes apparent as data is “smoothed out” over many 1,000s of cases.

Case Difficulty

We also understand that every case differs in difficulty, so we don’t try to assess the difficulty of a case.

Some attorneys claim to “only take the toughest cases” when explaining their low win rates. Occasionally this is true. However, our data indicates that as an overall excuse this is a false foundation as it too is “smoothed out” over a large number of cases.

It is also worth noting that in some jurisdictions such “cherry picking” is prohibited. For example, the United Kingdom has a “cab rank rule” preventing Barristers from cherry picking easy cases and our results are similar to the United States.

While Premonition is not designed to identify the “surgeon” attorneys that only work the hardest cases, it does group cases with those of similar difficulty by using case type, sub type and parties. For example, the Tax Court is notorious for its low win rates against the IRS, however top performing attorneys still stand out, not by their wins, but because they lose less.

Cases grouped by court type (Appeals Court being a more rigorous black letter law venue than small claims), and by Judge where certain cases, e.g. complex business claims are assigned to certain Judges. Over time, case difficulty variations are also smoothed out over large numbers of cases and Attorneys who only take easy cases will de-select themselves when approached.

Multiple Attorney and Firm Only Cases

Premonition looks at the first listed attorney for each side and ignores the others. This not only makes the system easier to use but it also recognizes the practical reality that the lead attorney usually has the greatest impact on the result.  In courts where the individual attorney names per party are not identified specifically, Premonition uses an algorithm to predict which individual attorney likely represents which party, then selects the 1st one for each side to analyze. However, co-counsel can be analyzed if specifically requested by the client.

Does it help the buyer of legal services?

Ultimately we’re driven by one thing, does our data on lawyer performance put the consumer of legal services in a better position than they were before Premonition?

Is it better for the consumer and the market, that lawyer selection is driven by metrics, rather than peer review?

By developing a Proprietary Algorithm for determining lawyer win rates, we provide the consumer with unparalleled insight into lawyer performance, so that as part of their selection process, they can now judge metrics, as well as recommendations.

We’re able to shine a unique spotlight onto which lawyers, win which cases and in front of which judges, leaving even the most jaundiced of our legal friends, hard pressed to argue against the need and benefits of transparency.

The post “We’re Data Scientists, Not Magicians” … A Look At The Premonition Methodology appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

Most start ups and emerging technologies enter a market with an initial hypothesis and set of assumptions, that rarely stay the same as product evolves and iterates.

During the early days of Premonition, we made one assumption we thought was a sure fire certainty, that lawyers would be thrilled about the opportunity to highlight their performance in court and would be shouting from every vantage point.  We assumed that from the wine bars of Wall Street to the speakeasies of Canary Wharf, there would be a celebration about the arrival of performance transparency and metrics.

This assumption was dealt an early reality check, when presenting Premonition to an array of lawyers on the upper floor of a particularly handsome building in the City of London.

Co-founders Toby Unwin, who launched the Premonition platform as a result of his own direct frustration with the lack of transparency around law and lawyers, was astonished by the attitude taken at this particular meeting.

“We presented our UK Courts Report to a prestigious firm, with fabulous large offices in the City of London, but one of the partners didn’t want to engage, bad body language throughout, with objection after objection to our report.  Finally, she came out with the comment … *“winning isn’t important”…. *which was followed by a significant pause from me, as I let it sink in and simply replied … *“but clients like it” *

What is more remarkable about the statement, is that it’s not an isolated or a momentary lapse, we hear it quite regularly as we travel to different meetings and events around the US and overseas.

Toby continues, “this happens quite a lot, sometimes when lawyers we’re chatting with let their guard down after a drink or two and admit much the same.  I suppose, if you’re on the clock, you don’t care so much about winning, you care more about how long the case lasts, how much you can bill (or the equity partners need you to bill).  As someone who used to sit on the other side of the desk and pays their bills, that really pisses me off.   You hire people and think they’re going to make this amazing effort on your behalf, but in truth a lot of them don’t actually care and yes, people do say this in law”.

This approach is endemic within the industry and is a cultural issue.  It’s hardly surprising if an industry charges (and gets away with) timed billing, that dragging out a case as long as possible and focusing as much on your revenue, as the best result for your client, will lead to this approach (or non-approach) to winning a case.

The legal industry is on the verge of significant change and the arrival of data and AI is at the heart of that change.

Whether it’s automated contracts, comparable fees or transparency about performance, the lawyers who don’t care about winning will become ever more apparent and ever more anachronistic, within the rest of the industry itself and more importantly, to the future buyers of legal services.

The post The Lawyers, Who Don’t Care About Winning appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

Originally published by, MiamiHerald.com – Author: Tarpley Hitt – April 18, 2018

Early in his career, Andrew Hall, an old-school Miami attorney whose Coconut Grove firm has sued governments from Cuba to Sudan, worked on a lawsuit that lasted three full years.

The case was cartoonishly complex. The Vietnam War was sputtering to an end and McDonnell Douglas Aircraft, then America’s largest manufacturer of jet airplanes, had defaulted on a contract involving the delivery of 99 jets to Eastern Airlines. There were over a million documents put into evidence and almost 300 witnesses. The massive operation employed so many lawyers, clerks and paralegals, they resembled a legal militia more than a legal team.

“We didn’t have a lot of computer tools available to us,” Hall said. “We ended up working in this huge warehouse with a couple hundred people sorting data all the time.”

That was in 1972. Half a century and an on-going technological revolution later, legal work is undergoing radical change.

“Today, using artificial intelligence, that case would probably involve a team of five lawyers and a couple experts,” Hall said. “The trial would last a third of the time. That’s artificial intelligence dealing with complex data.”

Andrew Hall, a Miami attorney with decades of experience, says artificial intelligence programs are already streamlining legal research work.

Machine learning is already taking over the rote, replicable tasks of the legal industry — a trend that tech experts and entrepreneurs, including one start-up in Miami, expect will only expand. Flash forward a few more generations of A.I., and flesh-and-blood lawyers may face the same threat already costing legions of blue-collars workers their jobs: replacement by robot.

Human lawyers are wary of these advances. One former Florida public defender drafted a half-serious treatise on the subject, pushing “to dismiss claims that a chatbot can do an attorney’s job.” When asked, many South Florida attorneys will mount a spirited defense against the rise of the law machines. Like this one:

“A plaintiff is entitled to a jury of their peers. Robots are not their peers,” said Todd Levine, a litigator at the Miami firm Kluger, Kaplan, Silverman, Katzen & Levine. “By the same token, if the people are on the jury, they’re not going to listen to two Amazon Echos argues with each other about whose side makes more sense.”

Still, there is no debating that advances in artificial intelligence have already altered the button-downed world of law. If all available legal technology went into effect immediately, a paper from MIT says, automation could perform between 2.5 and 13 percent of lawyers’ work each year.

Hall’s airline contract case, for instance, would now be sped along with “electronic discovery” — a widely-used practice where mountains of legal files are digitized into databases searchable from a smart phone.

That MIT study was two years ago and legal tech start-ups from Los Angeles to London say the pace of change has only accelerated since.

One wave of legal tech comes straight from Miami. Recently, two British ex-pats launched a firm called Premonition Analytics out of an innocuous office building on Biscayne Boulevard.

The company logo for a Miami start-up firm that has developed an artificial intelligence program that sifts data bases to find lawyers for clients.

The founders, self-described “serial entrepreneurs” Guy Kurlandski and Toby Unwin, cringe at the term “legal tech,” preferring the more Orwellian “perception-reality arbitrage.” Whatever you call it, Premonition has amassed the largest legal database in the world, and designed an artificial intelligence program that aims to help clients find the lawyer best suited for their case.

“Sitting here in Miami-Dade, there are approximately 17,000 attorneys,” Kurlandski said. “It’s about 128,000 in the state. When you have a business to protect or a family to protect and you’ve been sued, how do you find the best defense attorney?”

The actual number is 105,990 statewide, and 15,872 in Miami-Dade as of March 1, but point taken––it’s hard to winnow down the options, to find the best attorney for your lawsuit, judge, and budget. It’s an AI service that maybe the industry could live with — a practical tool, and value, for lawyers and their clients.

That’s Premonition’s pitch, and their solution boils down to something like legal Moneyball, where an AI evaluates lawyers based on their success rates for particular kinds of cases, in front of specific judges.

Guy Kurlandski, co-founder of Miami start-up Premonition Analytics, which has created an artificial intelligence program that aims to help clients find the lawyer best suited for their case.

“We train the AI to go through the dockets en masse,” Kurlandski said, “figure out the outcomes, and gather any information that would give us an indication of who was the winner and who was the loser.”

A lot of new legal technology works like Premonition––streamlining simple and predictable activities, like trying to find an attorney or the right piece of evidence. A start-up called Legalist, for example, crunches data to predict whether a case will win, and finances the legal expenses of anticipated winners. Another firm, Lex Machina, offers legal analytics aimed at helping attorneys formulate their arguments.

All those technologies operate as complements to human lawyers, but some tech developers are aiming to supplant them. Last spring, two companies––LISAand DoNotPay––rolled out competing models of what they each called the “world’s first robot lawyer.”

DoNotPay, which launched last year in the United States and in the U.K. the year prior, is a chatbot that poses users a series of questions and then automatically appeals their parking tickets. The bot has also assisted in banking charge contentions, airplane ticket refunds, landlord disputes, and asylum applications for refugees. In September, the chatbot added a feature that allowed users to sue Equifax, the credit monitoring firm which exposed 143 million Americans’ financial data last summer, for up to $25,000.

LISA, which acquired another legal AI called BillyBot last year, runs a similar program. After a few automated exchanges with clients, LISA drafts quick, free and legally binding non-disclosure agreements, or NDAs.

Bots like these could serve a substantial benefit for consumers, providing services that would normally require the expertise of a lawyer at little to no cost––like TurboTax for lawsuits. DoNotPay’s 20-year-old founder Joshua Browder, told NPR he wants to “level the playing field so anyone can have the same legal access under the law.”

Lawyers, you may guess, are not all thrilled by the progress. Premonition’s Kurlandski said many law firms are resistant to programs that will make their work more efficient.

“A lot of products in legal tech are good, and they get their tires kicked around, and everyone looks at it and talks about it,” Kurlandski said. “But there’s a reluctance to actually use it. The business of law is just not built around efficiency.”

And many legal professionals argue it could be a while, or never, before robots or legal tech programs take on the primary work of lawyers, which is less standardized and predictable.

“I honestly don’t see the reality of robot litigators striking us in the near future, maybe even at all,” said John Stewart, president-elect designate of the Florida Bar Association. “It’s never just technology that’s the solution. And it’s never just the lawyer that’s the solution. It’s the combination of the two.”

John Stewart, a Vero Beach attorney and president-elect designate of the Florida Bar Association.

Robot litigators not only pose a substantial technological difficulty, but the potential displacement of human legal roles by machines would almost certainly veer into lawsuits and constitutional questions. Over the years, state and national bar associations have often fought the use of computerized legal advice. The tech firm Legal Zoom, for example, spent years battling state bar associations from North Carolina to Missouri over providing what the associations alleged was unauthorized legal consultation.

Even if artificial intelligence won’t replace lawyers wholesale, could it still affect the legal job market?

Litigators, judges, and big firm partners aren’t likely to feel heat from robots any time soon, but lower level staffers and recent law school graduates may find themselves competing with algorithms. A 2016 report from the consultant group McKinsey found that 22% of a lawyer’s tasks and 35% of a law clerk’s tasks could be automated. In 2017, JP Morgan began using a program called Contract Intelligence. Contract Intelligence, or COIN, can complete work which once took legal clerks 360,000 hours in a matter of seconds.

Still, Stewart suspects that these technologies won’t kill jobs, so much as change them. Last January, the Florida Bar Association added a technology component to their Continuing Legal Education program, making Florida the first state to require technology training of its lawyers. Stewart said the additional schooling will help Florida legal professionals keep up with automation.

“There’s a rule in Florida that says you have to be competent to practice law,” said Stewart, who practices in Vero Beach. “That sounds kind of simple, kind of silly. But we changed the comment on the law of competence, to include that a lawyer has to understand the benefits and risks associated with the technologies in their practice areas.”

Hall suspects legal jobs will evolve with technology, but won’t disappear.

“Human beings are very innovative. We’re going to find a way to get in trouble more often if you give us more time,” Hall said. “Anybody who thinks, oh my god, hundreds of thousands or millions of billable hours will disappear –– I bet they won’t. There are always more cases.”

Miami Herald Writer Tarpley Hitt can be reached at tarpleyhitt@gmail.com.

The post Could Your next Lawyer Be a Robot? Tech Firms Making Case for Artificial Intelligence appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

## Brandon Righi explains more about forthcoming RIMS2018 conference in San Antonio

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Premonition are on our way to attend the San Antonio for the 56th annual conference of the Risk & Insurance Management Society (aka RIMS).    The conference is due to take place from 15th – 18th April 2018 and we were delighted to be joined on the Premonition podcast by the RIMS programs manager Brandon Righi, to explain more about the conference, the schedule and some of the aims and ambitions for the 2018 event.

For more information about RIMS 2018, visit : https://www.rims.org/RIMS2018/Exhibitor/Pages/Home.aspx

“Lawyer Win Rates Are Coming to RIMS2018″ : /blog/2018-03-28-lawyer-win-rates-are-coming-to-rims-2018/

Transcript for Premonition Podcast 9 with Brandon Righi

Andrew Weaver: An unusual Premonition Podcast to normal, because it is, and I make no apologies for this, a 100% unadulterated plug for an event taking place and at which Premonition will be attending next week in the fine Texan city of San Antonio.

San Antonio, the home of the Alamo, scene of many a fierce battle in the Mexican-American War, has seen its fair share of risk over the years.

Next week, it will be seeing its fair share of risk managers, because it is hosting the 56th annual RIMS conference, the Risk Management Society conference, at which Premonition will be attending.

Booth 1352 will be the location for Nathan, Ty and the Premonition team.

We thought it’d be a great idea to ask one of the RIMS team on board this Premonition podcast to explain a little more about the history of the conference, the ambition of the conference, some of the unusual events taking place with some great keynote speakers.

So without further ado, very pleased to be joined by Brandon Righi, Programme Manager from RIMS.

Brandon Righi: Thank you for having me.

AW: Well Brandon, great to speak to you. I know that spring hasn’t quite arrived in New York as it has here in London, actually. The temperature has gone up in the last day or two, so we’re feeling spring-like. We are particularly excited to Premonition HQ, the team in Miami, because they will be attending next week in San Antonio, their first visit to a RIMS conference.

You very kindly come along and tell us a little bit more. Just before we go into the conference itself, Brandon, give us a little bit of background to what RIMS do, and perhaps the history of the conference.

BR: Yeah, RIMS, the Risk and Insurance Management Society, more commonly known as RIMS, is the largest risk management, non-profit membership association in the world. We’re known as being a most heavily active in North America, but we actually do events all around the world.

We strive to bring the best, just to advance the field of risk management, and risk management practises. Especially with our events, and especially with the annual conference that’s happening at San Antonio, we strive to bring together … and create meetings of the minds between corporate risk managers and the top talents in the business insurance fields, and so lot of folks from underwriters and from brokerage firms, meeting with the risk management community.

AW: How long has the conference been going?

BR: This is our 56th year. Our first one was in New Orleans back in the ’50s or early ’60s, I believe. Now we’re in Texas for the fourth time. This is actually our first time in San Antonio. Like the past several years, we are expecting over 10,000 attendees.

AW: Wow, so it’s a real heritage, the conference. I mean, in general, Brandon, who attends? I mean, we’re obviously coming along. We’re going to discuss briefly one of the elements to this conference being AI and the impact of AI on the industry, so we’re very excited. But who generally attends? What’s the profile?

BR: Sure. Like I said before, it’s kind of the big … I think the world’s preeminent meeting between the risk management community and the business insurance community. Roughly half of the attendees are corporate risk managers. That ranges from risk analysts, insurance buyers, all the way up to CROs, and heads of risk management, and heads of enterprise risk management. Then the other half are folks from the big brokerage firms, big and small consulting firms, and underwriters, and service providers of all kinds.

AW: There’s a theme to this year’s conference, which is Go Big. Just give me a little bit of background of what the ambition is with that title.

BR: Yeah, well everything in Texas is big, so we had to incorporate something about going big. We feel that risk management is being asked to demonstrate ever more value with each passing year, and so we need some big ideas, big connections, and big solutions.

In our big ideas area, we’re bringing some new educational content and programming. We are upping the game with the networking events, that’s the big connections. The big solutions is of course the exhibition hall, which has over 400 exhibitors.

AW: I’d be really interested to see what the agenda was 56 years ago. I suspect it was reasonably small, reasonably limited, and over the years will have, I suppose, kept pace with the changes going on around the industry. I’m interested this year’s focus, there’s a couple of elements to this year’s focus that I’m interested in getting a bit more background from you, and that’s the fact that you’ve got a diversity and inclusion session that’s very much a hot topic at the moment, in terms of diversity.

Also, as I mentioned briefly before, a look at the impact of AI on the industry. Are there particular reasons why you’ve introduced those to the conference this year, and what would you like to be seeing delegates get out of those sessions?

BR: Sure. Well, so I’ll start with the diversity and inclusion idea. It’s an issue that’s near and dear to RIMS’ 2018 president, Robert Cartwright Junior, who works for Bridgestone, the Japanese tyre company. He’s actually our first African American president.

This is something I think in risk management and insurance people have been talking about for a while now, about especially the business insurance world is not as diverse as the country at large, or as the world at large. It’s dominated by older white men, to use a shorthand.

All of these organisations are concerned about bringing in young people, and attracting any non-traditional candidates into the field. At the urging of our 2018 president, Robert Cartwright, yeah, we are unveiling a new diversity and inclusion meetup that takes place on Sunday the 15th of April, right before the opening party for the conference.

It’s going to be run by a professional moderator. We’re going to have some interesting speakers, including the head of HR from Marsh, and not limited to that person, there’s some other interesting folks speaking as well. We’re going to unpack these issues, and try to come up with a plan for how to up our game, and improve on the diversity front in this industry.

As far as artificial intelligence goes, this is something that I think risk management professionals know is a big deal, and they don’t really know what to make of it. Everyone’s talking about AI, and there’s a lot of concern about, “Is AI going to make my job obsolete in five years, or 10 years? If it does make my job or part of my job obsolete, what skills do I need to know to still be viable in five to 10 years. Or the new people that we’re hiring, what kind of skills should they have so that they don’t lose their jobs in five to 10 years because of advances in technology?”

It’s a topic that’s on the minds of our membership. Our membership really wants to hear more about it, and so we’re trying to deliver on that for them.

AW: Yeah, well, we’re really on the cusp of the uncertainty as well as the opportunity, aren’t we, in terms of what the impact that might be. Just going back briefly to the diversity issue, I notice you’ve got actually a meetup and a safe space that’s going to be available for people to discuss what might be viewed as a sensitive issues, which is really interesting.

Also, some of the keynote speakers, quite interesting, kind of a diverse panel of speakers. Alex Sheen, I noticed, founder of Because I said I Would, which is a really interesting concept, a non-profit that seeks to better humanity through making and keeping promises. I love the sound of that.

BR: Yeah, he’s a great speaker, and he’s an American gentleman. Of course during the awards luncheon happening on Monday, we have a woman who’s speaking who’s the first African American fighter jet pilot in the U.S. Air Force. She’s a very engaging, high energy speaker as well.

We also have some education sessions about this. We have a session on the journey of the African American insurance professional, a session on how to handle LGBTQ issues with cultural sensitivity, and also just the risks and opportunities of diversity and inclusion. There’s a lot of great content on that front, for sure.

AW: Yeah, great stuff. You said it was the first time San Antonio, everybody excited? Part of your team already heading down there, I guess, have they?

BR: Yeah, a lot of my colleagues are already down there. I’m heading down on Saturday. Yeah, first time in San Antonio. It’s a beautiful city, it has a beautiful downtown. It’s a really exciting place, and I think a lot of people haven’t visited before. I think they’re going to be pleasantly surprised. The city has been a fantastic host for us, we couldn’t be happier.

AW: Well, it’s all brewing up to be a wonderful event. Give us the official times of the event, would you, Brandon, for next week?

BR: Sure. The event officially kicks off with the RIMS annual conference and exhibition opening party, which takes place Sunday, April 15th. I think the doors open at 6:00. Yeah, that’s 6:00 to 8:00 p.m. local time. Then there’s an opening keynote speeches on Monday morning. There’s a seated breakfast, and then opening speeches on Monday morning.

The exhibition hall opens Monday. After that, I think that’s at 10:00 in the morning that the exhibition hall opens, and then we have just a flurry of activity, 107 education sessions happening all throughout the education centre. It wraps up on Wednesday afternoon with our closing speaker. We’re very excited to have Jay Leno. He’s going to be very entertaining and funny. It’s a must see.

AW: Well, a great way to finish off. I’m sure there will be a few exhausted delegates left at that stage, so it will be a good way to finish off. Well brilliant. Listen, thank you for joining us. We’re at booth 1352 for those of you listening and interested in coming to see us at Premonition. Brandon, I wish you the very best. It’s been excellent talking to you, and I’m sure it will be a wonderful event.

The post In discussion with …. Brandon Righi, Program and Content Manager, RIMS appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

*The following article is from an Original post by Predictive Analytics Today – *Top 15 Artificial Intelligence Platforms. Accessed, 04/10/18

See the entire list of companies here

15. Premonition

Law is one of the few marketplaces where no one knows the value of each participant. There are huge variances in how good Attorneys are perceived to be and how good they actually are. Many expensive Lawyers are poor performers. Many cheap Lawyers are actually phenomenal—at least in front of certain Judges. Only Premonition knows. Premonition has generated the World’s Largest Litigation Database. The Premonition system can read and analyze over 50,000 documents a second. It enables them to ask questions that have never been possible before. Its Artificial Intelligence system mines Data to find out which Attorneys win before which judges.

The post Predictive Analytics Today – Top 15 Artificial Intelligence Platforms appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

Original Source: Acquisition International. (https://www.acq-intl.com/issues/2018-january-2018/19/)

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## A discussion that explores how insurance incumbents, are engaging with their InsurTech future

The post Premonition Podcast 8 : Greg Brown, Partner at Oxbow Partners appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

*Source : New York Business Journal. 04/03/2018. *

MIAMI, April 3, 2018 /PRNewswire/ — One of the most hotly contested debates of recent years has been fixated on the existence of a pay gap between women and men. Numerous studies have proven that this disparity is present (with variations) across all industries and professions, with women earning roughly 20 percent less on average than men for the same work. There have, however, been fewer studies on whether men actually outperform their female counterparts by a statistically significant margin. In other words, is the gap justified? According to a new report by Miami -based analytics firm Premonition AI, among lawyers, there is substantial evidence that one gender consistently outstrips the other — but their findings suggest that perhaps pay gap should be reversed.

“If female attorneys were compensated according to how often they actually win cases, they’d be paid more than men,” says Premonition co-founder and CEO Guy Kurlandski . “We just ran the biggest legal study on gender of all time, and at every level of practice, women came out ahead.”

The 40-page Women in Law * *report summarizes findings from a groundbreaking gender study of attorney billing rates published by Dr. Silvia Hodges-Silverstein of Sky Analytics, and brings to the table new insights from Premonition’s own research on courtroom performance.

The Numbers

“When I first read Dr. Hodges-Silverstein’s study , I wasn’t shocked that there was disparity between men and women in law,” says Toby Unwin , Premonition’s other co-founder and CIO. “But seeing the extent of the gap was bracing.”

Despite women now representing 46 percent of associate attorneys, just 22 percent of partners are female. Female lawyers also tend to be steered away from litigation, and the most profitable areas of practice remain dominated by men. The pay gap crosses all variables: size of firm; geographical region; years of experience; hourly billing rate; number of hours worked. In all cases, male lawyers as a group outearned women.

Premonition’s research found that female partners outdid male partners in court 70.19 percent to 57.47 percent (plus 12.72 percent), the largest factor ever tested by the firm. For comparison, partners as a whole (women and men combined) only beat associates by 1.4 percent — meaning that most of that thin margin is attributable to the exceptional results posted by the women. Female associates meanwhile beat males by 2.53 percent.

These results were based on machine analysis of the court records in the firm’s database, which has been described as the largest litigation archive ever assembled. Premonition’s artificial intelligence assigns each attorney a win rate based on the outcomes of their past cases, allowing the first-ever empirical comparison between male and female lawyers’ actual track records in court.

Explaining why women show superiority as litigators is a speculative question at this point, but Premonition’s Unwin subscribes to a survival of the fittest model. “There is a double glass ceiling in effect where not only must women work harder than men to get into the field, but once they get there they must battle for the chance to work in the courtroom. The ones that survive are phenoms: cheaper, faster and less likely to take a losing case to court.”

Women in Law also includes surprising findings on women’s likelihood of being sued for malpractice, and speculation as to whether the pay gap in legal services will persist into the future. Shawnna Hoffman , co-leader of IBM’s Watson AI-based Cognitive Legal team added a brief afterword to the report.

“Last year, we posed a question to a packed room at one of the largest legal conferences in the world. ‘One day, will we be able to predict which lawyers will provide the best results for a case?'” Hoffman wrote. “I am proud to share with you that the challenge has been met by Premonition with surprising results which, in my opinion, promote new insight into diversity and how inclusion of women is smart business. After reading this report, I believe you will clearly see that a legal strategy that includes women is not only the right thing to do, but it provides a competitive advantage.”

Women in Law is now available as a free download from Premonition’s website.

Related Links

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Related Video

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*Original content : 04/03/2018.

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San Antonio has seen it’s fair share of risk over the years, as host to The Alamo and various battles from the Mexican-American War, but it’s never seen risk management quite like the event due to take place from 15th to 18th April 2018.

That’s when the annual RIMS (Risk Management Society) conference and exhibition takes place, with 10,000 to 11,000 people descending on this famous Texan city, including our team from Premonition who will be dazzling the floor from Booth 1352 with an explanation of how legal analytics is and will be, impacting the risk management industry.

The theme for the show itself is “Go Big”, which I guess in Texas is absolutely appropriate.

According to RIMS it’s about “encouraging risk managers to think outside the box, expand their relationships and strive to make a bigger impact in their companies and communities”.

“It’s a call to action,” says Stuart Ruff-Lyon, vice president of events and education, RIMS. “How can a risk manager ‘go big’ in the organization and life?”

Within the conference there will be a focus on topical issues like diversity and inclusion, sexual harassment, and disaster recovery and resiliency, to include an inaugural “diversity inclusion meetup” and safe space for people to discuss sensitive issues.

On the topic of diversity and the absurdity of gender pay gaps, we recently used our data to shine a light on the contrasting performances of Male Lawyers vs. Female Lawyers and the results were remarkable.  Male lawyers, look away now. Women are better litigators – you can download the report here.

A glance at the list of Keynote speakers underpins that focus on diversity, including millennial opening speaker Alex Sheen, founder of “because I said I would,” a nonprofit that seeks to better humanity through making and keeping promises and Vernice “FlyGirl” Armour, the nation’s first African-American female fighter pilot.  Not a bad closing speaker, with Jay Leno taking the microphone.

Our own Chief Business Development Officer Nathan Huber will be in attendance, along with Ty Sagalow, 35 year insurance industry veteran, former CIO at AIG and now working with us here at Premonition.

Nathan confirms a growing excitement about the event in San Antonio … “Premonition is experiencing phenomenal interest within the Insurance and Risk Management sectors and this is a superb event for us to showcase our technology and the impact that AI is going to have on the industry.  If we get any spare time, we’re excited about seeing a little of San Antonio and eating some brisket”.

The impact of AI on the industry is being covered elsewhere within the conference … “We’re continuing to educate risk professionals about the impact of drones, driverless cars, etc. Artificial intelligence and robotics have been added to the lineup as well as they become more and more disruptive,” confirmed Stuart Ruff-Lyon

It’s brewing up to be a fantastic event and we’re thrilled to be part of it.

What is Premonition?

Premonition has the world’s largest litigation database and we’re creating unprecedented transparency into lawyer performance and selection.

With millions of global cases in our database, and tens of thousands of new cases added every day, we show you which lawyers, win which cases, in front of which judges.

Come and meet Nathan, Ty and the team at Booth 1352 at RIMS2018 and witness the future of lawyer selection.

www.premonition.ai

The post Lawyer Win Rates are Coming to RIMS 2018 appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

“Big Law simply isn’t big enough.” – Toby Unwin, Premonition Co-Founder & CIO

Miami-based software firm Premonition AI recently released a new report called How Good Are the Big Law Firms? that questions how well America’s largest and most prominent practices stand up against smaller competitors. The report, which is free to download from Premonition’s website, is based upon the company’s analysis of millions of courtroom records held in its database. The company claims to be among the first to be able to show clients how often a given lawyer or firm wins their cases, and to forecast their likelihood of continuing to win in the future. The report argues that while Big Law firms as a whole perform slightly better (+6.98%) than small firms, clients that limit their search for representation to include only the giants are statistically unlikely to get the best service available.

Performance Differentials

Not all Big Law firms are made equal. The report, which uses the Miami-area over the past three years as its case study, finds that among the biggest operators in the region, performance varies widely. One firm posted a 93.51% win rate during the study period, while another literally never won a case that made it to court. Not only that, but in many cases there’s no guarantee that clients who do choose to work with a Big Law firm will find themselves represented by the best lawyer in that practice. Premonition claims there is little correlation between a lawyer’s skill as a litigator and the size of their firm.

Flawed Traditions

“We’ve found that the Big Law firms’ choice of whom to hire is actually 38% worse than a random selection,” says Unwin. “The report goes into some of the main reasons for this, but the main one is that they pay heed to conventional wisdoms that the numbers simply don’t back up.”

The report cites Big Law’s over-reliance on the perceived quality of a candidate’s alma mater and scholastic achievements versus indicators of their ability in the courtroom. The top firms tend to compete over the same pool of blue chip prospects, driving up prices that are then passed on to clients. Meanwhile, talent that doesn’t conform to traditional notions of who will make a good attorney is overlooked.

“Women, for example, have been shown to be exceptionally under-utilized as litigators,” says Unwin. “We’ve found that women partners win 12% more than their male colleagues, despite making up a vastly smaller proportion of Big Law partners overall. When the predominantly white male decision-makers at these firms stop simply hiring people who look like them and come from similar backgrounds, they’ll start to make better hires. In our opinion, legal analytics are the best way to remove the scales from their eyes.”

Limited Selection

The meatiest section of the report is devoted to examining the relationship between judges and lawyers. These pairings have been found to have the strongest predictive value for legal analytics software. The report considers a selection of Miami judges and the top 20 lawyers in their courts by win rate. Of these top candidates, only 7.7% work for Big Law firms. Before fully one-third of judges in the area, none of the top 20 worked at Big Law. Because the vast majority of lawyers do not work for these giants, the numbers suggest that clients who don’t shop around limit their selection unnecessarily by excluding the 92.3% of winners who work for small law.

Impact of Legal Analytics

The goal of How Good Are the Big Law Firms? is not to cast aspersions on the quality of services offered by prominent firms, but rather to re-center the question of service quality on lawyers rather than their practices. Premonition argues that by using analytics tools to compare historical win rates with billing rates, clients are able to make the best selection for the particulars of their case. The company claims their tools can swing a client’s probability of victory from 50/50 to 80/20.

“This is about finding the very best lawyer possible, be they a Big Law partner or a stripmall superstar,” says Unwin. “The AI doesn’t care about anything else.”

*Source: International Business Times – 03/27/18

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Almost no other industry has been so slow to respond to the technological revolution as the legal industry. There are many purported reasons for this, not the least of which is that lawyers and law firms have traditionally had powerful incentives to resist new technology. As just one example, the entire notion of the billable hour means that efficiency for a lawyer is not always a lucrative proposition. Getting work done faster means there is less money to be made, especially if there is a finite amount of work to go around.

In addition, the obscure nature of legal work, with its proprietary jargon and finicky rules, has made it difficult for non-lawyers to do frank assessments of law firm inefficiencies. There is no doubt that this has contributed to the tech lag that the legal industry has experienced over the past several decades. At long last, though, it seems that there are signs that lawyers and law firms are poised to transform the way that legal work is done. To suss out the reasons behind this anticipated change, we’ve asked 11 legal industry experts to answer the following question: Why is the Legal Industry Ripe for Disruption?

**1. Nellie Akalp, CEO of **CorpNet.com

The legal industry can seem pretty ‘stone age’ sometimes when referring to laws and legal jargon. Attorneys who utilize that law on a daily basis sometimes have the same ‘stoneage’ mindset where they are not open to much change. I believe though, that the legal industry is ready for new products and services to make attorneys’ work more streamlined and their lives easier. They can still get in those billable hours, but utilizing outside services, such as our Partner Program, allow them to bring in additional revenue but skip the stress of doing more work. We all want to work less for more – and our Partner Program and more services will be disrupting the legal scene to allow that to happen.

**2. Haley Altman, CEO and founder of **Doxly, Inc

In today’s world, everyone expects instant accessibility and the conveniences that technology can provide. Every day people are booking flights, checking in for flights and managing most of their accounts from their mobile devices. Traditional legal practice methods are becoming outdated compared to other industries, and they do not meet the client’s expectations. Not only have clients accepted the technological advancements available today, they now expect these conveniences when working with law firms. Boosting client satisfaction levels through the use of legal technology can allow law firms to deliver increased efficiency, and more value for their client’s money, which ultimately provides real value to their clients.

**3. ****Chelsey Langan, Vice President, Sales, **Martindale-Nolo

We predict that attorneys will remain critical for more complex cases, but that consumers will seek more cost-effective means for handling simple legal matters. Online services, such as Nolo’s WillMaker, have made it simple for customers to handle certain legal matters with little cost.

At the same time, many attorneys in the U.S. need more efficient processes for sourcing business, managing case intake, and communicating with clients. Disruptive technology for law firms includes online lead generation services to complement old-fashioned client referrals, contact relationship management (CRM) systems to help manage leads and case management and online portals for offering more transparency to consumers on case status.

**4. Kevin L. Miller, CEO of **LegalSifter

**Because the demand for legal services is largely unmet, the world is waking up to the potential of artificial intelligence, and because entrepreneurial attorneys see the possibilities.  **

Combine that with an unprecedented, accelerating amount of investment into promising legal tech companies, and you have the right ingredients for an explosion of new legal products that change the nature of the industry.  The good news is that everyone will win – attorneys, clients, and suppliers.

**5. Nicholas d’Adhemar, Founder and CEO at **Apperio

Fierce competition and increased client demands have led to the legal industry to be ripe for disruption. Many of the manual, inefficient ways of working are no longer an option if firms want to keep their clients happy. By using the transformative technology available today, they can create more sophisticated services as well as more efficient turnaround of projects.Transparency tools, such as Apperio, give clients intelligent analytics to optimise their spend and identify areas for improved efficiency as well as secure the best deal among competing firms.Also, there are many customers who cannot afford the main legal services on offer today and would prefer a more cost-effective solution with more basic advice. With this trend, you start to see new legal firms on the market with prices directed at this market.

**6. Dan Garrett, CEO and Co-Founder of **Farewill

Because it doesn’t often act in the interests of the consumer, and that’s not good enough anymore. People don’t need – or want – to pay by the hour, and they can access personalised services, and information, online. The era of the lawyer as knowledge holder and gatekeeper is coming to an end. We’ve seen the same in finance: just because you’re operating in an area that consumers find unsavoury, doesn’t mean you should take them for a ride. We have an opportunity to transform the parts of life people find it difficult to deal with by building products and services that make things easier, not harder.

**7. Toby Unwin, Co-Founder and CIO of **Premonition

The legal industry is ripe for disruption because it is opaque and highly inefficient. Hourly billing means that the more efficient a lawyer is, the less money they actually make. This has led to a system that is vague, expensive, inefficient and massively hated by its customers. The repetitive, rule-based nature of legal work makes it an easy target for automation. Law firms have had little incentive to adopt new tools and actively dissuade their adoption. The most successful legal tech companies practically ignore law firms, focussing instead on their clients, particularly insurers. These companies have a strong incentive to see legal services be benchmarked, transparent and efficient. A centuries-old dam is beginning to crack…

**8.  Neal Nagely, CEO of **BookLawyer

I believe the legal industry is more ripe for evolution than for disruption.

As technology continues to transform expectations for personal and commercial interactions in our daily lives, new and existing providers of legal services will use technology to provide superior legal services and create a competitive advantage.

**9. Dan Kalish, Managing Partner at **HKM Employment Attorneys LLP

**Law is one of the fields that, so far, has not been heavily disrupted compared to other fields such as real estate agents or travel agencies.  **

But the disruption is coming primarily due to the amount of legal tasks that can be automated the amount of electronic documents that can be searched so quickly with computers and AI.

10. Dean Sperling of Dean Sperling Law in Irvine, California

The legal industry is already in disruption. The last recession “weeded” out many firms whose business structure could not withstand the pressures brought by the downturn, loss of business and the increased competition. Clients, including large multinational entities, have found that there is competition in the legal arena and fees charged and have demanded change. Much as how the “first wave” of technology leveled the playing field between large and small firms, the next wave is going to shape who survives, who doesn’t and who prospers. The clients are driving the changes and technology is going to be the engine that will allow lawyers to provide what the clients demand.

11. Gustavo Mayen Esq. / MBA

The legal industry is ripe for disruptions because we attorneys are creatures of habit. Because of this, established firms and more experienced lawyers tend to rely on what has worked all along. This creates an incentive for new firms to be able to use technology to offer services at a better rate, services that could be done faster at times, and services in which you can engage better and quicker with the client through technology. Technology also allows you to disrupt the industry because marketing can be more individualized to your target market through analytics. It allows you be seen as an expert in the field by providing blogs, YouTube videos or other media to educate the public at large. Technology also allows you to, as a business, cut down on items that are non-billable, thus cutting out the fat of the business, making it more of a lean business, thus being able to have better margins at the end.

Originally published, MARCH 15, 2018  Author, JNANA SETTLE

 Jnana Settle

Ma Jnana Settle is a Texas-licensed attorney who was born and raised on the island of Maui, Hawaii. Since graduating from law school at Southern Methodist University’s Dedman School of Law in 2016, she has pursued two careers simultaneously. As a lawyer, her law firm is situated in Wylie, Texas, a suburb of Dallas. She practices in the areas of real estate, estate planning, and small business law. In addition, she is a prolific legal content writer and avid legal tech nerd. Her articles have been published by the State Bar of Texas and the American Bar Association, in addition to her articles on Disruptor Daily. She ghostwrites legal content for other lawyers that ends up as blogs, legal articles, and continuing legal education programs throughout the U.S. She can be reached at jsettle@thesettlelawfirm.com

The post Why is the Legal Industry Ripe for Disruption? appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

## A little about the concept of blockchain, a lot about the impact of legal tech.

The post Premonition Podcast 7 : Stephen Turner from Lawyers of Tomorrow appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

JERSEY CITY, N.J., March 20, 2018 – ISO Claims Partners has announced the integration of Premonition data and legal analytics into its suite of services. Premonition maintains the world’s largest litigation database. ISO Claims Partners is a Verisk (Nasdaq:VRSK) business and a leader in Medicare compliance and claims analytics.

Premonition data will benefit ISO Claims Partners customers by providing them with unprecedented access to litigation information at the state and local level. The service will guide insurers in selecting the best defense counsel for different claim types based on “win rates” as well as provide critical information about plaintiff attorneys and judges that will help them form winning litigation strategies.

“The addition of Premonition’s unique data into our Navigator suite will offer clients insights that drive down both claims and legal costs,” said ISO Claims Partners President Robert Lewis. “Armed with the most comprehensive litigation data set available and best-in-class analytic technology, we can help our clients improve claims outcomes with data-driven litigation strategies.”

“Prior to the development of Premonition, legal services were largely subjective, with analytic information available only for federal cases,” stated Guy Kurlandski, cofounder and CEO of Premonition. “We’re pleased to join forces with ISO Claims Partners and Verisk to bring this solution to their insurance customers.”

With Verisk’s leading data sets and analytical solutions across the property/casualty industry, including its premier claims database with more than 1 billion claims, Premonition complements the end-to-end claims insight and decision support services insurers rely on to manage expense, control claims costs, and deliver outstanding customer service.

About Verisk** **

Verisk (Nasdaq:VRSK) is a leading data analytics provider serving customers in insurance, energy and specialized markets, and financial services. Using advanced technologies to collect and analyze billions of records, Verisk draws on unique data assets and deep domain expertise to provide first-to-market innovations that are integrated into customer workflows. Verisk offers predictive analytics and decision support solutions to customers in rating, underwriting, claims, catastrophe and weather risk, global risk analytics, natural resources intelligence, economic forecasting, and many other fields. Around the world, Verisk helps customers protect people, property, and financial assets.

Headquartered in Jersey City, N.J., Verisk operates in 30 countries and is a member of Standard & Poor’s S&P 500® Index. In 2017, Forbes magazine named Verisk to its America’s Best Mid-Size Employers list and to its World’s Most Innovative Companies list. Verisk is one of only seven companies to appear on both lists. For more information, please visit www.verisk.com.

**Contact: **

Giuseppe Barone/Erin Bzymek

MWWPR (ISO Claims Partners)

201-507-9500

gbarone@mww.com

ebzymek@mww.com

Source: Nasdaq – 03/20/2018* (https://www.nasdaq.com/press-release/iso-claims-partners-integrates-premonition-data-and-analytics-to-improve-claim-litigation-outcomes-20180320-00794)*

The post ISO Claims Partners Integrate Premonition Analytics to Improve Claim Litigation Outcomes appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

Peter Fazio is the tri-lingual director of Lighthouse Law Group, a small general practice firm located in Five Dock, Sydney. He is also the Australian director for two US-based legal tech companies, Premonition and LegalSifter. Both companies recently launched in Australia.

The following interview is from the March 2018 Law Society of New South Wales Journal (issue 42), page 18.

What is Premonition?

Premonition is a large litigation database that gathers court data from publicly available records and uses analytics to turn it into

searchable data, including winning percentages, average case length and settlement figures. Premonition has uploaded all Australian court records databases, allowing it to provide detailed information about litigation in our courts, including individual success rates for matters in front of specific judges. In short, it is a tool to measure litigation success. Our current court system is based on believing that a client is being referred to the best barrister or lawyer for their particular situation. Premonition applies modern technology to this traditional practice, using real numbers and facts to increase the chance of success.

**How can the information be used? **

Lawyers use the information in lots of ways. It can be used to determine the win/loss ratio of an opponent in an upcoming litigation matter or allow someone to develop a strategy to best argue a case. It can be used to retain the best lawyer for a specific type of matter or help locate and market to new clients by providing the statistics to support a good track record in a specific area. It can also be used for recruitment, allowing you to review potential staff by accessing the applicant’s actual results in court. Firms can also use it to set prices, in comparison with other firms and their track record in court.

Premonition’s new Australia Courts Report 2017 includes information, such as finding there is only a 3 percent correlation between higher fees and better legal performance, which might ruffle a few feathers. What has been the response thus far?

Anything new is going to receive different reactions. Premonition has been received quite well in the US.

Currently, large companies are using the data to measure the potential effect litigation could have on its share price, for example. As a practising lawyer, I am aware that our profession is measured by more than just wins and losses. However, new technology can help us create a better, efficient profession more suitable to the

21st century than the 15th.

**How does LegalSifter differ? **

LegalSifter uses artificial intelligence to scan and review legal documents against in-house advice and requirements. It is designed to allow more affordable, efficient legal review of contracts and other legal agreements. LegalSifter reviews documents fast, with fewer errors, and enables tailored information for each client, allowing them to engage “your brain” 24/7 with the help of artificial intelligence.

**How did you get involved in technology? **

In the days before the cloud, I traveled to Europe for a holiday and found it incredibly difficult to connect to my office to review an urgent agreement. It got to the point where, rather than looking at the historical sites, my holiday became searching for fast internet. It led me to think that lawyers need technology to help us help others.

The post Interview with Premonition’s Australian Director, Peter Fazio appeared first on Premonition. Premonition is an Artificial Intelligence system that mines Big Data to find out which Attorneys usually win before which Judges. It is a very, very unfair advantage in Litigation. Follow us at https://www.linkedin.com/company/premonition-analytics for insider legal news and visit us at Premonition.

We were thrilled at the Premonition Podcast to be joined by Professor Gillian Hadfield, author of “Rules for a Flat World : How to reinvent Law”.

Gillian is an eminent legal academic and thought leader.  She is both Professor of Law and Economics at The University of Southern California.

This article is taken from the transcript of that podcast conversation, where we discuss Rules for a Flat World, Global Legal Hackathons, Definitions of Quality in Law and the Future of Metric Based Hiring.

The Premonition Podcast

Andrew Weaver: It’s a great pleasure and privilege to welcome to The Premonition Podcast, Professor Gillian Hadfield.

Gillian Hadfield: Hi there

Andrew Weaver: Are you in downtown Los Angeles at the moment?

Gillian H.: I am indeed, I am indeed.

Andrew Weaver: The wonders of Skype. Now, I’ve just been watching a programme about Magna Carta, over here in England, and that leads me nicely into the fact that Gillian, you published a book last year called Rules for a Flat World, which, if I’m right in describing, was about why humans invented law, and how to reinvent law for a complex global economy. Give me a little background to why you did the book, the ambition of it, and perhaps also a reflection now we’re a year on as to the reaction. Things that have evolved since you wrote the book?

Gillian H.: The book is a product of thinking about how well our legal systems are or are not working over a long period of time, which actually has its roots in personal experiences in family law. Too expensive, not really addressing problems, creating more problems than it seemed to solve, which really snowballed into talking to general counsel in our biggest companies, and people trying to promote economic development around the globe. The thing I discovered through that process was that everybody really had a similar set of complaints about how well our legal systems work. They’re too expensive, they’re too complex, and really, fundamentally, not solving the problems that we need. I started thinking about these problems, my training is as an economist, thinking about, okay, this is a really fundamental piece of the way societies and fundamentally economies work, so what’s going on? Why are they not working very well?

That set up a line of research, and at the end of all that, what I end up with is wow, we’re at a really important time in the history of human societies. Things are rapidly changing and this fundamental, what I call legal infrastructure, is really not working very well. We need to be working fast to change that. I’d been talking to lawyers about that for a long time and the book was really born from the feeling that it was really important to get this message out to all the people in the world, people, businesses, governments, and so on, that depend on the quality of our legal infrastructure to say, hey folks, something really important is going on here. We all need to be focused on this. Part of the message was, don’t wait for lawyers to fix it because if there’s not pressure from the people who use law to change it, it’s probably not going to change, at least, certainly not fast enough.

Andrew Weaver: The book covers the fact that this is not just about legal tech, not about AI and Blockchain, this is also about the people that don’t actually have any access, which essentially is pretty much still half the world.

Gillian H.: That’s correct. It really runs the gamut, it’s from the ordinary person with a housing problem or a family or eviction problem through our large corporations, global corporations. In the advanced world, the poor and developing world, it just cuts across the board. You’d asked me about how things have developed over the time since I’d written it. You know, I was very tentative to try and to say part of the story in the book is to present sort of the evolution of law. Where has law evolved from? From our earliest societies. It’s just fundamental, that human societies need rules that people rely on and trust to organise their relationships. Those have to become more complex as societies become more complex.

I didn’t want it to be just about the latest, greatest, what’s happening in tech right now, but I will say that that’s probably the biggest change since the book was finished in draught in 2016 and then released the end of 2016 to 2017. I’ve got a few paragraphs about Blockchain, that’s moving much faster than I expected. There’s a paragraph or two about Brexit and the election of Trump, obviously, that’s just been transformative and I think that has its roots as well in struggles with technology and groups. How do they feel about … Are they represented in a way in which rules are made. So, I’d say that all of that, but that’s part of just being in this very, very fast moving environment. The basic message is still the same. Maybe I’m a little bit more optimistic we’ll get there sooner. There’s certainly more interest than there has been, historically.

Andrew Weaver: Well, that’s great. I think one of the interesting points … I mean, there’s so much we could talk about that your book covers. One of the points I found quite interesting, was the issue, the challenges around the world and there are many and varied, obviously, that we all know about instantly. Fundamentally, the legal infrastructure isn’t right, you know? We’ve got a major problem with all of those challenges and I think it was a really interesting point, although on a wider perspective. Because this, you know, Premonition is very much a legal tech company and this chat is going to be about legal tech, but for those of you interested in the wider perspective of law and how law matters, there is a wider perspective in the book that Gillian covers.

Just going back then to legal tech a little bit, Gillian, again, interested in your perspective on what drives it? Now, I think you have a view, don’t you, about the fact that clearly there needs to be diversity, there needs to be outsiders coming in, it needs to be about market energy. Just package in a few moments, if you would, your thoughts about what drives innovation and legal tech?

Gillian H.: I think the most important thing to recognise about innovation and legal tech is it’s happening in an environment that currently you might say has very little oxygen. Law is generally a very closed system, and I think that’s a critical reason we haven’t seen the level or rate of innovation to date that we absolutely need. Lawyers have structured a system that’s largely a monopoly to participate in. This is not true in the UK, but it is Canada and the US, and other parts of the world. You can’t get outside investment in legal tech initiatives. And, even in places that are more open, there’s a way in which law is seen as, you know, that’s what the lawyers do. The rest of us are kind of … We’ll do the deal, we’ll design the company, we’ll come up with the policy and we’ll throw it over the transom for the lawyers to do that magical stuff using whereas and heretofore and so on and so forth.

I do think that has meant that what we’ve largely got so far, is we’ve got efforts to build legal technology where there’s clearly money right now, so that a lot of that has been focused on this really tiny sliver. It’s a huge fraction of the actual revenues in the legal system … legal industry right now, but it’s really a tiny sliver of total legal work or potential demand. And, that’s the high-end corporate stuff that’s done by big law firms. I’d say the other thing that worries me about where legal tech is currently, is a lot of it is, understandably, focused on making the phenomenally complex world that lawyers have created, easier for lawyers to handle.

I love the fact that we’ve got AI that’s now able to review documents, tell you what’s in that NDA, manage documents. The real thing we should be aiming for is, why do we need a four page, seven page, ten page non-disclosure agreement that you need a machine to accurately read? I’m not sure that makes sense, or E-discovery, processing millions of documents, the fundamental question is why do we need millions of documents to resolve a dispute?

Andrew Weaver: Well, one of the things you said there, reminded me of Richard Susskind’s, one of my favourite Richard Susskind’s line was “It’s very difficult to go into a room full of millionaires and ask for them to change their business model.” So, it generally has to be outsiders, but also going to pick up on the question of why, because this was raised in an earlier Premonition Podcast, with Richard Tromans, here in the UK.

There’s a bit of an obsession with legal tech about who’s doing it and what’s being done and how it’s going to improve the lawyers’ lot, but there’s very rarely a question about why. I think also perhaps a question about what’s the impact for the consumer of legal services. What’s your view about those issues?

Gillian H.: Well, I think that’s the fundamental reason I say that yes we have more bubbling up in legal tech today, but I’m not yet seeing the kinds of transformational innovations that I think we need and can have. Those are the ones that make the legal world easier to navigate and more available to people than companies, than what we have now. The why is, why do you need law? You need law in order for people in communities, for people in businesses, for people around the globe to be able to work together, live together, move forward with investments, and joint ventures and so on. It’s not just to process documents and assess liability. I think there’s tremendous value there.

So, a really important thing I heard when I was preparing for the book, doing research for the book, went and talked to general counsel a number of, you know, big companies I was talking to. People at Cisco and at Google, I spoke with Kent Walker at Google. It was probably around in 2007, now it seems like ancient history, but I was just asking, what are the main issues you’re dealing with in terms of innovation, and how the legal system works and … It really emphasised, one, I have no way of figuring out what deals aren’t getting done because of what I’m dealing … you know, the documents involved, the delay involved, I can’t tell what’s happening in that sphere. I’ve a very hard time finding lawyers who understand I don’t want the 50-page legal memo. I need the advice that today, because I’m getting off the plane tomorrow to talk to a partner.

The capacity to help people navigate the legal system, I don’t see enough effort on that. I don’t see, how do we make it easier for people in businesses to evaluate their options. Run the scenarios, really understand what the difference is between taking that strategy and this strategy. I think there’s tremendous opportunity there that we’re not yet addressing and that’s largely because lawyers have not, I think, really taken to heart that that’s what their clients need and they’re looking for.

Andrew Weaver: Well, I’m going to come back to that point in a moment, Gillian, and the issue of quality. How people perceive quality in legal services in terms of the suppliers and the buyers. But just a quick point on transformational innovations, you were involved, I think, in the recent global legal hacks.

Gillian H.: Yes.

Andrew Weaver: An exciting weekend? Things that came out of that that you’re amazed by?

Gillian H.: I think what was so inspiring about the global legal hack fund was just the very fact that there were 40 groups in 40 cities, I think 21 countries around the world. That’s phenomenal to have that kind of energy on this topic and focused on this. When you scrolled through, and you see it’s in Johannesburg and Monash University in Australia, Ukraine, Los Angeles, London, Toronto. It was really very inspiring to do that, and to see the number of young people involved was really quite striking as well.

I put out a set of … I started tweeting a few weeks before the hackathon to say, let’s really start thinking, what are the problems worth solving here? I’ve watched a lot of these kinds of hackathons, or innovation challenges in law over the years, and I think it’s really important we focus on, what are the problems worth solving? Those ended up as the Hadfield Challenges, and got distributed. And the point there was, to say look, let’s not focus on how to make the really complex stuff more readable to lawyers. When people start thinking about innovation, the first thing they think about doing is, how can we process all of the material lawyers are producing that’s so hard to keep track of. Or how can we predict what lawyers and judges and existing systems are gonna do?

It’s all important, but you really have to peel down below the layer of that to say, what you’re really looking for is not going to be helpful to most, even small businesses, or even bigger businesses, to know what are all the terms in my contract. What they need to know is, how am gonna make sure my idea doesn’t get stolen? How can I be sure that my engineers are gonna be able to work on this project? How can I be sure that it’s worth the resources to commit to what the other side is looking for in this deal? Or evaluate liability, what are my alternatives?

I was really trying to prompt people to look below the surface of how to make our existing, overly complex, overly expensive system, and not just say, well let’s make that at least easier to read, and instead say no, can we produce something that’s more user-friendly, more effective. I always hold up my iPhone at some point to people, and say, look, this thing does really complex stuff, but the reason we love it is because it’s so intuitive to use, and that’s what I want for law.

Andrew Weaver: Did anything emerge from those hacks that particularly stood out for you?

Gillian H.: Well I saw some great stuff in the Los Angeles one. I was closely affiliated with that one of course. We had people working on a team, actually our winning team was students of mine who worked on developing expungement app for people in California who are now eligible to expunge marijuana records, which is a critical important thing to do for employment, for scholarships, for lots of reasons. Another team with a student of mine on it, that was working on actually developing for personal injury attorneys as a first use case, an online crowd sourcing substitute for focus grouping mock trials to evaluate cases and move into settlement, with a lovely ambition of taking that to much broader dispute resolution purposes. ‘Cause for a lot of people all they really need in their smaller disputes, is they just want a resolution. They want to be able to say, I got through a process, reasonable process, and I was in the right or I was in the wrong, and to be able to just evaluate that.

Another fantastic project, another USC student, with a contracting platform, a micro-contracting platform for, again, their initial use case was thinking about people in the creative industry. So lovely attention to, how do you produce something for a group of people where you don’t want to use the word contract, you don’t want to use terms of service, you just want to come up with a way for creative people to have something much more reliable and to actually get them out of the complexities of the state legal system.

So I saw some really terrific things emerging. I haven’t even had a chance to pour through all of them yet. I think they’re still organising them to go over the list, but I’m really looking forward to seeing the whole collection.

Andrew Weaver: There’s a great example of market energy at its best, isn’t it? People putting those kind of innovative ideas, and hopefully some of them will get funded and get some traction.

I’m gonna get into, if a may, to a couple of points that are particularly close to our hearts here at Premonition, and that’s the issue of quality. What I would call, what quality means to the suppliers, the lawyers in particular, and perhaps what quality should mean, to the market. From Premonition’s basis, we come from the position that we think there are some fantastic lawyers out there, but it’s sometimes very difficult to isolate who they might or might not be. Our platform is based on win/loss ratios. Give me a little explanation, because I know you’ve covered this on other forums, about the issue of quality and how it’s perhaps … Your challenge to lawyers is perhaps misunderstood about what that means.

Gillian H.: Yeah, so, lawyers don’t like it if you say we’ve got a problem with quality in the legal industry, because it sounds like you’re saying they don’t understand the things they’ve studied and worked at for a very long time. How to read cases, analyse cases, conduct litigation, draught a contract and so on.

In fact, I’d say, when we think about quality in that way, this is actually a well known difficulty. People will talk about it’s the gold plating problem. That lawyers are … They’re wonderfully smart and committed people and they are driven to do an excellent job. Identify every possible risk, evaluate all possible litigations strategies, think about all the things that might happen. The difficulty with that, I think it’s important to remember, as an economist talking, quality is about doing what the person who’s come to you for service needs you to do. And quality is the match between what they’re looking for and what they need and what you are supplying.

We also use quality more generally in other industries, to talk about differentiated quality. So, it’s true. The high-end BMW is a higher quality car than the Honda Civic or the Neo, or whatever. When we think about quality we’re thinking about how well are you serving a market, in fact a differentiated market. If we think about quality as the ability to write a perfect, from an academic perspective, brief or argument, then it’s like saying the whole world … You could only buy the top-end vehicle, and we’re not going to make those Fords, the lower-end Ford or whatever, I know Ford makes some very high-end cars as well. And we’re not gonna build buses. It’s important to remember quality is ultimately about what works, what produces value for the person who needs and buys these services.

Andrew Weaver: Looking at it from an economic perspective rather than an intellectual or cerebral perspective?

Gillian H.: Yes.

Andrew Weaver: But AI is what fascinates us in particular and I know that we have some common ground here, because you judged a AI versus lawyer challenge, as did we in the UK with a case prediction challenge, which found out to be more in favour of AI than lawyers. And you had a similar experience with NDAs recently.

Gillian H.: Yes, yes. So I had some input into the design of this study, this was done by LawGeex in Israel. This is an AI trained on NDAs as an initial use case. Presented a set of NDAs that hadn’t been seen before to the AI and then to a group of 20 lawyers, and compared the accuracy of the lawyers and the AIs. The overall result was the average lawyer was catching about 85% of the elements of the NDA, and the AI was getting about 95%. This is just saying yes, there is a non-compete in this document. Yes, there is an arbitration clause in this document. It’s not going further than that yet. So as good or better. But of course, massive time difference in how long it takes to accomplish that objective.

I think importantly, the humans were given their best shot at it in a set up like this, because in the real world, humans aren’t told, sit quietly in that room for as long as you like and do nothing except identify the provisions in this contract. Really nobody should be getting less than 100% on that, probably.

In the real world it’s part of a busy day, it’s sinking to the bottom, it’s taking two weeks before you get to it in the first place. There’s a quick scan on the bus home or something. I actually am hoping we’ll be able to, at some point, to run the testing in the wild. And watch, and laugh.

Andrew Weaver: I’d only saw the one over here, but it was run by a CaseCrunch and Premonition was one of the technical judges. The conclusion of it was that the accuracy rate with the AI was about 86% and the lawyers was about 62%. So there was quite a sharp difference between the two. From your perspective in the study you did, what do you see as the implications of those results and where it might go next?

Gillian H.: There’s a lot of things that come from it. One is, I think we’re a very short time away from, the best practise would be that you would have a machine read it, just to do this kind of identification. Precisely for the fact that you’re gonna get the same result every time, it’s gonna be reliably done. So I can imagine that becoming best practise pretty quickly.

I think it’s a demonstration also of, wow, you need a machine to read this stuff. Does that make sense? Because the whole function of a contract is to coordinate human beings and organisations in their activities. If they don’t understand what’s in their contract … If we piled so much complexity into our documents that you need a machine to reliably keep track of it, maybe that’s not performing the function.

I’d love to see the next step in AI, to figure out what you really need in there. Connect that up with, again, this is something I remember from Kent Walker telling me when I was interviewing him, he said, look we’ve signed millions of these things, and again, this is back in 2007. He said, in my 10 years at this I’ve yet to see a case where the result turned on the language of a non-disclosure agreement. So if that’s the case, we’re spending tonnes and tonnes and tonnes, and now developing AI, expensive AI to do something, and saying, but what real effect is it having? Is it really improving the capacity for people who want to share ideas and build businesses together, to do that. So I’d love to see it head in that direction. It’s not gonna put lawyers out of business, but maybe it’ll make us better at it.

Andrew Weaver: Maybe push them back towards doing biz market reasoning, which is what you want to pay for the value, but anyway.

I’m gonna ask you a final question. It’s a little bit Premonition based I guess. We’re finding a lot of interest coming from sectors like the insurance industry. They’re automating their claim and case analysis. They’re beginning to automate their lawyer shortness. How do think the market will manage the move from, what I can tell, relationship-based hiring to more metric-based hiring?

Gillian H.: I certainly think we’re headed in the direction of more metric-based hiring. I think we should be heading in that generally. We don’t have enough insight into transparency of … Come back to that word quality, outcomes, value, in law. I think this is a critical problem and you can see this throughout, whether it’s … That’s a reason we haven’t had enough innovation within, forget tech, let’s figure out a better way to serve our clients because there’s not enough transparency into the results and metrics. Certainly within the large legal departments, the shift to metrics has been pretty significant.

Same thing’s true with legal education and figuring out, how do we better train, certify, oversee, the people who are ultimately providing legal work and products. I do think that the fact that we are getting so much closer to being able to say, this is what works, and this doesn’t. This is worth it, and this is not. Very quickly you’re gonna say, do we have better case outcomes today with e-discovery and millions of documents, than we had in a world with paper where it was relatively limited what you could capture. I don’t think we’ve probably improved the quality of our dispute resolution. We’ve significantly increase the cost, but we probably have not increased the value that we’re producing.

I’d love to get more and more data out there about what our lawyers are able to do, what they’re doing, what they’re not doing, what they could do better, what clients really value, what makes a difference.

Andrew Weaver: Well on that grand note, from our perspective Gillian, I want to thank you again for giving us your time. Such an esteemed guest for our little fledgling podcast. I’m completely thrilled to have had you talk to us.

Gillian H.: Delighted to. Thanks so much, I really enjoyed it.

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