Pre/Dicta Claims to Be Nearly 90% Accurate in Forecasting Whether a Lawsuit Will Survive to Discovery. What Can That Data Do For You?
Ross Todd is the Editor and columnist for the Am Law Litigation Daily, specializing in litigation coverage across various legal contexts. Previously, he served as the Bureau Chief of The Recorder, ALM’s California affiliate, where he developed a keen understanding of the legal landscape in the region. Ross’s extensive experience in legal journalism provides him with unique insights into the intricacies of litigation and the evolving role of technology in the legal field.
His writing portfolio includes in-depth articles and columns that explore significant legal cases, notable verdicts, and the impact of emerging technologies on litigation. Ross is known for his ability to distill complex legal issues into engaging and informative content, making him a trusted voice for legal professionals seeking to stay informed about the latest trends and developments in the industry.
Article Summary
Pre/Dicta, a litigation analytics startup led by Dan Rabinowitz, uses AI and big data to predict whether federal lawsuits will survive motions to dismiss and proceed to discovery, claiming an 85-90% accuracy rate. The platform analyzes a wide range of data, including judges’ demographic and biographical information, legal precedents, and party-specific details, providing actionable insights for litigators. By helping lawyers set client expectations, assess litigation risk, and make proactive decisions like choosing favorable jurisdictions, Pre/Dicta offers substantial time and cost savings for both plaintiffs and defendants.
The tool’s capabilities extend beyond predictions, with reactive and proactive applications to inform strategy before or after a case is filed. For example, litigators can evaluate the likelihood of success in various jurisdictions or identify cost-saving opportunities through early settlements. Despite its transformative potential, Pre/Dicta emphasizes that it complements, rather than replaces, traditional litigation expertise by addressing gaps in analyzing judicial decision-making. The platform exemplifies how AI is revolutionizing litigation through predictive analytics, enabling more efficient and data-driven legal strategies.
