AI Predicts Outcome of Motions

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, and the work experience of judges, parties, and lawyers to accurately predict the outcome of motions to dismiss 85% of the time. This prediction is made without knowing the nature of the case, the claims or the legal arguments. They also discuss the potential applications of this technology to litigation, including assessing the best forum to bring claims and understanding the impact of litigation events on publicly traded companies.

Podcast Link: Law-disrupted.fm

Host: John B. Quinn

Producer: Alexis Hyde

Music and Editing by: Alexander Rossi