Debevoise Data Blog

MARCH 19, 2025

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.

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Clio

APRIL 2, 2025

One in twenty personal injury cases is resolved in a court of law by a judge or jury ( The Law Dictionary ). The most successful personal injury attorneys combine data-driven strategies with genuine compassionproviding both the analytical expertise and empathetic advocacy their clients need.

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Rocket Matter

NOVEMBER 20, 2024

Don't worry, you don't have to answer out loud, and we aren't judging. People are quick to judge, though, especially online. Your professional website matters Take yourself out of your role for a second and look at the front page of your website. As a reader, how would you rate it on a scale from 1-10? No pressure, right?

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Clio

APRIL 15, 2025

This dynamic places them in the position of guiding both their clients and unrepresented ex-spouses through complex proceduresa burden that extends proceedings and can frustrate judges managing similar procedural assistance. Innovative firms now employ advanced analytics to predict outcomes and assess settlement options.

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Above the Law - Technology

FEBRUARY 29, 2024

“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

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Trellis.Law Blog

APRIL 26, 2024

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 Judge Analytics first appeared on Trellis.Law Blog.

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Above the Law - Technology

NOVEMBER 14, 2023

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%.

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Attorney at Work

NOVEMBER 15, 2021

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.

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LawSites

JUNE 29, 2022

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.

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Legal IT Insiders

AUGUST 8, 2024

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.

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LawSites

JULY 7, 2022

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.

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LawSites

MARCH 7, 2022

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.

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LawSites

JANUARY 11, 2023

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.

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LawSites

OCTOBER 27, 2021

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.

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Attorney at Work

MAY 23, 2022

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.

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LawSites

OCTOBER 7, 2022

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

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LawSites

MAY 19, 2021

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.,

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Legal IT Insiders

AUGUST 8, 2024

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.

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LawSites

AUGUST 31, 2021

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.

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Above the Law - Technology

JULY 19, 2023

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.

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Legal Tech Monitor

MARCH 13, 2024

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.

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LawNext podcast

OCTOBER 1, 2018

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.

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LawSites

JANUARY 26, 2022

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.

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LawSites

APRIL 21, 2022

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.

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Legal Tech Blog

JANUARY 11, 2023

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.

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Dewey B Strategic

MARCH 30, 2023

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

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Attorney at Work

SEPTEMBER 30, 2022

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.

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LawSites

JANUARY 6, 2022

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 judge analytics as critical tools for today’s litigators.

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LawSites

OCTOBER 6, 2022

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?

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TechnoLawyer

DECEMBER 16, 2018

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.

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Dewey B Strategic

JANUARY 11, 2023

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?

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Legal Tech Monitor

JULY 31, 2023

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.

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TechLaw Crossroads

JULY 31, 2023

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.

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Technically Legal

APRIL 27, 2023

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.

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LawSites

OCTOBER 27, 2021

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.

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MatterSuite

APRIL 4, 2023

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.

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Legal Tech Monitor

MARCH 30, 2023

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

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