Pre/Dicta has partnered with Quinn Emanuel Urquhart & Sullivan, granting the firm’s U.S. litigators access to its full suite of AI-powered litigation forecasting tools. Known for its 85% accuracy in predicting motion-to-dismiss outcomes, Pre/Dicta has expanded its capabilities to include class certification, venue transfer, summary judgment, motions to compel, and case timeline forecasting. This collaboration highlights the transformative role of AI in Litigation, offering Quinn’s attorneys advanced insights for Legal Risk Assessment, Motion Success Rate Benchmarking, and strategic decision-making across complex cases.
Pre/Dicta’s founder, Dan Rabinowitz, emphasizes the platform’s data-driven approach, which goes beyond generic averages to analyze patterns across similar cases and judges. By equipping a top-tier firm like Quinn Emanuel with predictive tools, Pre/Dicta is setting a new standard in Litigation Analytics, enabling attorneys to optimize settlement strategies, motion filings, and litigation budgets. This partnership signals a shift in how elite legal teams leverage technology for competitive advantage in federal courts.
