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.

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.