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“We’re trying to solve a longstanding problem in the legal field, and that is that judges only write judicial opinions for 3% of rulings,” Ovbiagele said. ” He distinguished Bench IQ from legal analytics companies such as Lex Machina or Pre/Dicta. The Toronto-based company recently closed a $2.1
Just a few months ago, English judges were given […] The post Guest Post: The Impact of AI on Paralegals – Preparing for the Future appeared first on Legal IT Insider. By Robin Ghurbhurun, Governing Board, National Association of Licensed Paralegals Artificial Intelligence is already making itself felt in the legal sector.
Indeed, at every turn, law students face the challenge of ensuring their work-product rises to… Continue reading → The post Maximizing Your Legal Edge This Summer: Law Student Glow-Up with State Trial Court and JudgeAnalytics first appeared on Trellis.Law Blog.
Pre/Dicta , a litigation analytics platform that predicts how federal court judges will rule, is expanding to cover new motion types and also to predict litigation timelines. Until now, the product, which launched in July 2022 , covered only motions to dismiss, claiming to predict how a judge will rule with an accuracy rate of 85%.
Judicial analytics remains one of the last frontiers of Big Data, a field poised to fundamentally transform the way attorneys practice the law by quantifying the unquantifiable to unimaginable ends. AI-powered judicial analytics emerged from the frustrations of day-to-day life as an attorney. It all starts with a judge dashboard.
Dutch tech publication Tweakers has kicked off a legal debate after revealing that a Dutch lower court judge has used ChatGPT as a source of information for the ruling. Tweakers […] The post Dutch judge causes storm by using ChatGPT in judgment research appeared first on Legal IT Insider.
Today brings news that Gavelytics , a seven-year-old litigation analytics company, is closing its doors effective tomorrow. We invented the category of state court analytics. The idea struck me, What if, in advance, I could know detailed information about the judge?” Merrill told me at the time of his 2017 launch.
I am a big fan of litigation analytics, even once suggesting that it could be malpractice for a litigator not to use the technology. Analytics might tell you, for example, that, in intellectual property cases, Judge Smith decides summary judgment motions for plaintiffs 70% of the time. But it only tells you past behavior.
In a major update to its platform being released today, Fastcase is beginning to deliver on that promise with the first of several planned Judicata-based product offerings — analytics showing how often federal motions are granted and how long different judges take to rule. standard developed by the SALI Alliance.
Last June, the seven-year-old litigation analytics company Gavelytics shut down, seemingly overnight, with founder and CEO Rick Merrill announcing the news by an email on June 29 that he “recently made the difficult decision to close Gavelytics effective June 30,” as I reported at the time. . Accuracy.
Trellis Research , an AI-powered state court research and analytics platform, has raised $14.1 Launched in 2018 as a judicial analytics platform for California state courts, Trellis has now broadened into a searchable database of state trial court data, covering courts in 12 states.
Keeping up on the litigation landscape with AI-powered legal analytics can help cultivate productive and meaningful client relationships. “As Legal analytics platforms like Trellis and Bloomberg Law enable litigators to register for alerts that notify them whenever a new case is filed against a company in their field of expertise.
Trellis , a company that provides legal analytics and research for state trial court records, has expanded its coverage into another five states, bringing its total coverage to 21 states. Trellis has now added coverage for courts in Michigan, Missouri, North Dakota, Oklahoma and Wisconsin. Last year, it raised $14.1
Spoliation Scientist is a data analytics tool that uses artificial intelligence, text analytics and data visualizations to assess spoliation risk in any federal or state court in the United States. “Being able to see with a few clicks, in any jurisdiction across the U.S.,
Dutch tech publication Tweakers has kicked off a legal storm after revealing that a Dutch lower court judge has used ChatGPT as a source of information for the ruling. Tweakers […] The post Dutch judge causes storm by using ChatGPT for fact checking in judgment appeared first on Legal IT Insider.
The legal analytics platform Lex Machina has introduced a “fetch” functionality that allows users to request and retrieve specific documents from state court dockets. Full list of covered courts.) There is no added cost beyond the user’s subscription. The user can fetch a document with a click.
Over the years, the list has included a diverse selection of lawyers, legal technologists, policymakers, judges, law librarians, bar association executives, and people from all walks of life who are innovating in the legal profession. (I Tim Fox , Director of Practice Intelligence and Data Analytics, Ogletree Deakins.
District Judge Wesley Hsu says that judges’ information online should be fair game for those putting together predictive analytics. Then again, as someone who previously spent more than a decade prosecuting cybercrime, he has a tiny digital fingerprint.
What if a lawyer could know how a judge is likely to rule in a case or how heavy is a judge’s workload? Rick Merrill was a litigator at a large law firm who became frustrated over his inability to get meaningful information about the judges before whom he appeared.
A new product uses historical data, artificial intelligence and predictive analytics to value cases and predict outcomes in automobile warranty litigation, with the goal of helping manufacturers resolve Lemon Law and warranty claims more accurately, more quickly, and at lower cost. ” said Siva of FelixHealthcare.ai.
Appellate Analytics covers nearly 400,000 circuit court cases from all 13 federal circuits, and also includes some 500,000 appellate briefs that Lex Machina has collected. The analytics could also help attorneys estimate timelines and evaluate potential outcomes. Appellate Analytics lets you see a judge’s reversal rate.
Pre/Dicta , claiming itself the only litigation analytics platform that makes predictions about the outcome of federal lawsuits, announced the acquisition of Gavelytics, a pioneering judicial analytics platform for state court cases. This deal is a major milestone for Pre/Dicta and the entire field of predictive litigation analytics.
Predictive Analytics for Case Strategy and Trial Outcomes Predictive analytics represents a game-changer in litigation strategy. By analyzing historical data, AI can provide insights into potential trial outcomes based on various factors such as jurisdiction, judge, and opposing counsel.
Pre/Dicta has profiled 750 federal judges and built an algorithm that can predict how each judge will rule on a motion to dismiss based on the cause of action, the characteristics of the parties and the attorneys. It runs this prediction based on one piece of data – the docket number! The full article is available on LegalTechHub
By following its details closely, we can begin to unravel the strategic importance of judicial research and analytics for civil litigation at the state trial court level. A Case Study in Judicial Analytics. But how have the judges at the state trial court level defined a gift? This case is instructive. Words to Numbers.
The legal analytics platform Lex Machina , which is owned by LexisNexis, has again expanded its coverage, this time adding a Chapter 11 bankruptcy module that provides legal analytics for over 115,000 Chapter 11 proceedings. How many times has my judge presided over a Chapter 11 bankruptcy that resulted in a confirmed plan?
Eventually, Clark hopes to see the use of court analytics become the industry standard, commonplace among litigators and expected by clients. . On this episode of LawNext, Clark joins host Bob Ambrogi to explain why she started Trellis and how she sees its court and judgeanalytics as critical tools for today’s litigators.
Today's TL NewsWire Hot Product enables you to analyze the historical record of experts and judges to inform your case strategy, including an expert's track record on Daubert challenges and citations your judge prefers (see article below). But it's not a good idea when it comes to the expert witnesses and the judges in your cases.
Trellis’ new state court analytics tools provide much needed insights into litigators and their law firms which will lead to better strategic decisions. Trellis is a state court legal research and analytics platform. I have written before about Trellis’ laser focus on state court analytics.
Trellis’ new state court analytics tools provide much needed insights into litigators and their law firms which will lead to better strategic decisions. Trellis is a state court legal research and analytics platform. I have written before about Trellis’ laser focus on state court analytics.
I reported last summer that the pioneering state litigation analytics company was shutting down. Gavelytics Launched in California in 2017, and became a leading source of state court analytics and had a strong presence across the ALM 100 firms. Pre/Dicta Bringing More than Data to the Analytics Party?
Trellis Research , an AI-powered state court research and analytics platform, has raised $14.1 Launched in 2018 as a judicial analytics platform for California state courts, Trellis has now broadened into a searchable database of state trial court data, covering courts in 12 states.
Pre/Dicta is an app that uses data science to tackle judicial analytics, but unlike other similar software, Pre/Dicta does not just look at a judge’s opinions and track record, but also looks at other factors that influence court opinions.
You’ll need to be able to communicate complex legal concepts in a way that judges, juries, and clients can understand. This includes other attorneys, judges, and clients. Hone your Analytical Skills As a litigation lawyer, you’ll need to be able to analyze complex legal issues and develop effective legal arguments.
Pre/Dicta has profiled 750 federal judges and built an algorithm that can predict how each judge will rule on a motion to dismiss based on the cause of action, the characteristics of the parties and the attorneys. It runs this prediction based on one piece of data – the docket number! The full article is available on LegalTechHub
The integration is between Docket Alarm , a Fastcase -owned product that mines federal and state court dockets to provide litigation alerts and case-prediction analytics, and Courtroom Insight , a knowledge management platform that captures key information about expert witnesses, arbitrators, judges and attorneys. ”
We talk to Nicole Clark, Co-Founder of Trellis, an AI-powered state court research and analytics platform. She was unfamiliar with the judge that would hear the motion so, that night, she sent an email to colleagues at her firm to find out if any of them had been in front of the judge.
Reliability of AI Generated Evidence Proposed new Rule 707 aims to address the reliability of AI-generated evidence that is akin to expert testimonyand therefore comes with similar concerns about reliability, analytical error or incompleteness, inaccuracy, bias, and/or lack of interpretability. District Judge Edgardo Ramos of the U.S.
This information can be used for analytics purposes or to track users, which can then be fed into remarketing or other targeting. In my Internet Law course, I still teach the Pharmatrak case from 2003, where an analytics service provider used a pixel and other tracking technology. Using a pixel to track users is an Old School practice.
LFI also gives litigators specific insights into judges, opposing counsel tactics, and case outcomes. In fact, we see it down almost to some judges with clerks and putting information differently, and you can see the same judge same county, and information will be input differently. ones that make up a lot of BS analytics.
A new product uses historical data, artificial intelligence and predictive analytics to value cases and predict outcomes in automobile warranty litigation, with the goal of helping manufacturers resolve Lemon Law and warranty claims more accurately, more quickly, and at lower cost. ” said Siva of FelixHealthcare.ai.
Predictive Analytics Predictive analytics revolves around using data to make smart guesses about what might happen next. Lex Machina: Legal Analytics Lex Machina offers detailed analytics to help law firms, in-house teams, and legal professionals make data-driven decisions. For analytics, Lex Machina is a top choice.
We’re trying to solve a longstanding problem in the legal field, and that is that judges only write judicial opinions for 3% of rulings,” Ovbiagele said. “So He distinguished Bench IQ from legal analytics companies such as Lex Machina or Pre/Dicta. What we offer are explanatory insights into judges’ rulings.”
In his day job, Damien works at Fastcase , where he is VP for litigation workflow and analytics content. To discuss this, our guest on LawNext is Damien Riehl , who is part of the all-volunteer leadership team of the SALI Alliance and who has played a key role in developing and expanding the specification.
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