By Victor Li
Screenshot from Pre/Dicta.
For instance, you can look up how a particular judge on prior motions to dismiss on certain employment discrimination cases to get an idea how they might rule on a similar one currently pending in their courtroom. That knowledge can be important for lawyers. It lets them evaluate their case and determine whether it’s worthwhile to go to trial or settle, and they can also provide the client with some certainty as to how much that it will cost them based on what they’ve charged in the past for similar matters.
But then judicial analytics tool Pre/Dicta, which is AI-powered litigation prediction software, launched in 2022 with a different approach. In addition to looking at rulings and jurisprudence, Pre/Dicta also examines a judge’s political affiliation, net worth, area of residence, career and other personal and demographic data.
In this episode of the Legal Rebels Podcast, Dan Rabinowitz, the CEO and co-founder of Pre/Dicta, talks with the ABA Journal’s Victor Li about what sets Pre/Dicta apart from its competitors, as well as the field of judicial predictive analytics and where it’s heading.
Dan Rabinowitz is the CEO and co-founder of Pre/Dicta, which is AI-powered litigation prediction software. Before founding Pre/Dicta, Rabinowitz began his practice as an associate in Sidley Austin’s Supreme Court and appellate and mass tort litigation groups before working as a trial attorney for the U.S. Department of Justice and the general counsel to a Washington, D.C.-based data science company, along with working as the associate general counsel, chief privacy officer and the director of fraud analytics for WellPoint Military Care. Rabinowitz received his law degree from the Georgetown University Law Center.