Using Data Science for Judicial Analytics (Dan Rabinowitz, Founder, Pre-Dicta)

A conversation with former Big-Law lawyer turned tech entrepreneur, Dan Rabinowitz. After stints with law firms, the Department of Justice and time as general counsel, Dan tells us how all of that led to the founding of 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. You may have read about Pre/Dicta recently in the legal tech press because it acquired Gavelytics–another judicial analytics company founded by Rick Merrill–who was a guest on the show way back in 2018. Pre/Dicta originally focused on federal courts, but by joining forces with Gavelytics the company acquired a trove of info about state court judges and opinions.

Om Podcasten

Technically Legal is a legal tech podcast exploring how technology is transforming the legal landscape. Each episode features insightful interviews with legal innovators, tech pioneers, and forward-thinking educators who are leading this change. Our guests share their experiences and insights on how technology is reshaping legal operations, revolutionizing law firm practice, and driving the growth of innovative legal tech companies. We also explore the broader implication of technology on everyone involved in the legal system, from practitioners to clients. The podcast is hosted by Chad Main, an attorney and founder of Percipient, a tech-enabled legal services provider. Chad launched Percipient on the belief that when technology is leveraged correctly, it makes legal teams more effective. Technically Legal Podcast is an ABA Web 100 Best Law Podcasts Honoree.