There are numerous judicial analysis and trial forecasting tools on the market. They may differ in execution and focus, but the general rule of thumb is that they look to a judge’s past rulings and opinions to predict how that judge might rule on a similar motion or case in the future.
For example, you can look up how a particular judge handles previous motions to dismiss in certain employment discrimination cases to get an idea of how he might rule on a similar case currently pending in court. This knowledge can be important for lawyers. This allows them to evaluate their case and determine whether it is worth going to trial or reaching a settlement, and they can also give the client some certainty as to how much it will cost him based on what he has paid for in the past. charged similar items. .
But then a legal analysis tool Pre/dicta an AI-powered lawsuit prediction software, launched in 2022 with a different approach. In addition to rulings and case law, Pre/Dicta also examines a judge’s political beliefs, assets, area of residence, career and other personal and demographic data.
In this episode of the Podcast for legal rebelsDan 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, the field of legal predictive analytics and where it’s going.
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In this podcast:
Dan Rabinowitz
Dan Rabinowitz is the CEO and co-founder of Pre/Dicta, an AI-powered trial prediction software. Before founding Pre/Dicta, Rabinowitz began his practice as an associate at the Sidley Austin Supreme Court and appellate and mass tort groups before working as a trial attorney for the U.S. Department of Justice and the general counsel of a Washington, DC based data scientist. company, along with work as associate general counsel, chief privacy officer and director of fraud analytics for WellPoint Military Care. Rabinowitz received his law degree from Georgetown University Law Center.