Pre/Dicta Adds Timeline, Venue, Motion Types to Predictions
An AI-powered database that draws on the biographical details and decision history of judges to predict how they will rule is helping lawyers and plaintiffs decide how to invest their time and resources in civil cases.
AI Use in Court Is Ethical When Used Correctly | Opinion
Artificial intelligence (AI)’s emergence and stunning popularity in the legal sphere raises the question of whether it’s ethical for lawyers to use AI tools in their practices.
Quinn Emanuel Adopts AI Litigation Analytics Tool Pre/Dicta
International law firm Quinn Emanuel Urquhart & Sullivan LLP is adding artificial intelligence litigation analytics platform Pre/Dicta to its repertoire of litigation tools, the firm and company announced this week….
Pre/Dicta takes a radically different approach to predictive analytics than others
There are plenty of judicial analytics and litigation prediction tools on the market. They may have differences in execution and focus, but the general rule of thumb is that they look at a judge’s past rulings and opinions to predict how that judge might rule on a similar motion or case in the future.
Quinn Emanuel to integrate Pre/Dicta into their litigation workflow
US litigation powerhouse Quinn Emanuel Urquhart & Sullivan, LLP today (16 May) announced that they will be integrating Pre/Dicta’s predictive analytics tool suite into their litigation workflow.
‘Another Arrow in the Quiver’: Quinn Brings AI-Backed Litigation Forecasting Tools to All US Lawyers
It’s clear that the AI revolution will have a big impact on litigators’ clients, their cases, and whole areas of the law, as well as the way they work. “We’re putting a lot of effort into being at the front of that, and being someone that clients can come to understand these issues, and litigate and win these cases,”
The art and science of forecasting litigation outcomes just got a lot more sciencey.
Listen to what Dan has to say about how the power of technology is going to make predicting litigation as commonplace as predicting the weather. He also shares insights into a study Pre/Dicta conducted that tested assumptions about judges based on their political affiliations.
Are chatbots poised to take over disputes?
Algorithmic predictive solutions can give an early indication of a dispute’s prospects of success, such as Pre/Dicta which uses AI to analyse multiple data points and historical results to forecast outcomes of current cases, and which has recently found the judge likely to grant the motion to dismiss the Vanipenta v Silicon Valley Bank Financial Group class action.
Pre/Dicta takes a radically different approach to predictive analytics than others
There are plenty of judicial analytics and litigation prediction tools on the market. They may have differences in execution and focus, but the general rule of thumb is that they look at a judge’s past rulings and opinions to predict how that judge might rule on a similar motion or case in the future.
Here Comes Pre/Dicta–Forget Everything You Thought You Knew About Legal Analytics and Predictions
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!
Using Data Science for Judicial Analytics (Dan Rabinowitz, Founder, Pre-Dicta)
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. The app looks into data like the judge’s net worth, political affiliation, education, work experience, and other biographical data points.
Extraordinary Ai Technology Predicts Outcome Of Motions With 85% Accuracy
John is joined by Dan Rabinowitz, founder and CEO of Pre/Dicta Litigation Prediction Software. They discuss how, given only a case number, Pre/Dicta uses data points, already in its database, such as the gender, location, political affiliation, ethnicity, education…
Pre/Dicta’s AI-powered tool is reshaping the legal landscape
Dan Rabinowitz, the CEO of Pre/Dicta and a former Department of Justice trial attorney, claims that his AI model can predict a judge’s decision with an accuracy of 86% without even considering the case’s specifics.
Pre/Dicta Expands Litigation Prediction Platform With New Motion Types, Case Timelines
By looking for a case or judge’s “doppelganger,” Pre/Dicta looks to predict the outcome of four new motion types: summary judgment, class certification, venue transfer and motions to compel. The move comes almost a year after the company acquired litigation analytics platform Gavelytics to offer predictions for state court motions across the country.
Podcast: The Voices of the Internet of Things with Chuck Martin: Dan Rabinowitz, Predicta
Dan has been a trial attorney at the U.S. Department of Justice, Associate General Counsel at Booz Allen Hamilton, and CEO of Deko Cocktails. At Predicta, Dan focuses on using artificial intelligence to predict the outcomes of federal lawsuits.
AI tool 86% accurate in predicting judge verdicts without evidence, only bias in past judgments
A noteworthy implication of this technology, as reported by Axios, is the potential transformation of “judicial forum shopping” – the practice where plaintiffs strategically select courts and judges likely to rule in their favor.
Pre/Dicta Partners with Quinn Emanuel to Provide Lawyers with AI-Powered Litigation Prediction Tools
Manually researching historical case statistics and anecdotal experiences is not only time consuming for legal teams, but it’s obsolete. Pre/Dicta is able to provide instant case metrics and insights based on a data set made up of billions of patterns that would otherwise be inaccessible to legal teams
Pre/Dicta Adds 3 New Motion Outcome Predictions and “Doppelganger” AI Capability
Litigation Timeline Predictions: Pre/Dicta provides legal teams with the predicted case-relevant timelines from filing to trial to plan litigation strategies better, allocate resources, and inform settlement decisions.
The platform contextualizes its motion analysis, comparing that with the judge’s decisions, as well as other judges within the same circuit and those with analogous biographical profiles.
Innovator of the Year, Vendor: Dan Rabinowitz of Pre/Dicta
“[When I was practicing,] if you had offered me a tool that would give an actual, instant prediction on litigation results…well, I might have thought you were crazy. But I also know what a difference it would have made to my practice,” says Dan Rabinowitz, founder and CEO of Pre/Dicta.
1 big thing: AI predicts how judges are likely to rule
“We don’t look at the law or the facts — we entirely ignore that,” Rabinowitz said, because judges write opinions in fewer than 2% of cases, and in the case of newly appointed judges, there’s often no case data to work with.
Litigation Prediction Platform Pre/Dicta Expands Into New Motion Types and Case Timelines
Using Pre/Dicta requires only that you enter a case number. It will then show a dashboard offering a prediction as to the likelihood of a motion to dismiss being granted. It will also show its analysis of similar cases. The Case Timeline shows likely outcomes for at each of the three states of litigation and the likely timeline to that outcome.
AI in Court Is Ethical When Used Correctly | Opinion
AI Use in Court Is Ethical When Used Correctly | Opinion Dan Rabinowitz’s extensive background in both legal practice and data analytics uniquely qualifies him to speak on Pre/Dicta, legal analytics, and AI-driven litigation prediction. With experience ranging from serving as a trial attorney at the U.S. Department of Justice to leading fraud analytics and […]
Pre/Dicta Adds Timeline, Venue, Motion Types to Predictions
Pre/Dicta, a leader in AI-powered judicial predictive analytics, has announced significant updates to its platform, enhancing its capabilities for legal professionals. The platform now offers predictions for various motion types—including summary judgment, venue transfer, class certifications, and motions to compel—while also introducing case-relevant timeline forecasts from filing to trial. Additionally, it provides detailed venue comparisons […]
Pre/Dicta: Revolutionizing Legal Analytics with New Motion Types and Interactive Features
Pre/Dicta Adds 3 New Motion Outcome Predictions and “Doppelganger” AI Capability Jean P. O’Grady is a renowned expert in strategic information initiatives with over 30 years of experience working with Am Law 100 law firms. She holds a J.D. from Fordham University School of Law, an M.L.S. from St. John’s University, and a B.A. in […]
Legal Strategy & AI: Insights from John Quinn
EXTRAORDINARY AI TECHNOLOGY PREDICTS OUTCOME OF MOTIONS WITH 85% ACCURACY, WITH DAN RABINOWITZ John Quinn is a renowned figure in the legal world, widely recognized for his strategic prowess and a string of high-profile litigation victories. As the founder and chairman of Quinn Emanuel Urquhart & Sullivan LLP, the largest law firm focused solely on […]
