Pre/Dicta Adds 3 New Motion Outcome Predictions and “Doppelganger” AI Capability
Jean P. O’Grady is a renowned expert in strategic information initiatives with over 30 years of experience working with Am Law 100 law firms. She holds a J.D. from Fordham University School of Law, an M.L.S. from St. John’s University, and a B.A. in History from Fordham University. As the creator of Dewey B Strategic, Jean has been instrumental in advocating for the strategic importance of librarians and knowledge managers in driving innovation within legal organizations. Her extensive writing and speaking engagements have sparked significant industry debates and highlighted the transformative potential of legal technology.
Jean’s insights into the evolving landscape of legal tech, coupled with her practical experience, make her an authoritative voice on advancements and applications of AI-driven solutions like Pre/Dicta. She has served in numerous professional roles, including board member positions and as a frequent speaker on topics like legal analytics and digital contract licensing, further solidifying her expertise and influence in the legal tech industry.
Article Summary
Pre/Dicta has expanded its capabilities by introducing three new motion outcome predictions, timeline forecasting, and an innovative “Doppelganger” AI feature. Unlike traditional legal analytics tools, Pre/Dicta focuses on profiling judges’ personal characteristics, enabling it to predict rulings with an impressive 85% accuracy based on docket numbers alone. This unique approach provides attorneys with detailed litigation timeline forecasts, venue comparisons, and a comprehensive analysis of federal judges’ decision patterns, offering data-driven insights for strategic litigation planning.
The new “Doppelganger” feature empowers lawyers to adjust predictive factors and identify similar cases for deeper contextual analysis. By incorporating new motion types like summary judgment, venue transfer, class certification, and motions to compel, Pre/Dicta delivers cutting-edge analytics for motions and litigation outcomes. This tool aids legal teams in resource allocation, settlement strategy, and understanding judge-specific patterns, marking a significant evolution in AI-driven legal tools.
