Every case carries two sets of facts. The first is the law: the claims, the theory, the authority. This is what traditional legal research is built to address.
The second is the context in which the case will actually be decided – the judge, the parties, the firms, the venue. These are not just background conditions. They are outcome-determinative facts in their own right.


Validated against millions of cases and billions of data points
” Thrilled to announce that all our attorneys at Quinn Emanuel now have access to Pre/Dicta AI’s powerful tool suite. This AI-driven technology uncovers hidden patterns in judicial decisions, helping us deliver exceptional results for our clients. “

Executive Chairman and Founding Partner at Quinn Emanuel
Classifying more than 20 million cases and 40 million judicial decisions, Pre/Dicta was built to identify, analyze, and quantify the impact of courtroom fact patterns. The platform identifies the matters most comparable to yours — same judge profile, same party dynamics, same counsel configuration — and shows how they actually resolved.
Every underlying case visible. Every outcome verifiable.
We are neither a self-serve analytics tool nor a case law research vendor. We are providing next-generation litigation intelligence to practitioners and their in-house counterparts.
Comprehensive Case Analysis Incorporating Judge Background and Litigation Dynamics
Combines biography, prior rulings, party types, and procedural posture into a complete case profile that clarifies likely outcomes at each stage.
Systematic Evaluation of Law Firm Performance Across Motions and Case Outcomes
Enables comparison of firms by analyzing win rates, case composition, and litigation patterns to reveal relative strengths and weaknesses.
Detailed Motion Metrics Including Success Rates, Timing, and Dispositions
Delivers judge-specific data on motion outcomes, showing frequency, success rates, and resolution timelines to inform litigation strategy.
Comparative Assessment of Case Results and Trends Across Federal Venues
Examines historical outcomes across jurisdictions to provide a clear basis for selecting venues and sequencing venue-related motions.
Data-Driven Estimates of Litigation Stages and Resolution Timing
Predicts how a case is likely to progress through its stages, giving clear expectations for timing of resolution and major rulings.
Identification of Material Prior Cases Based on Case Structure and Context
Surfaces the most relevant precedents by analyzing the underlying dynamics of a case rather than relying on keyword or citation matching.
Benchmarking of Firm Activity, Outcomes, and Litigation Profiles Against Peers
Measures a firm’s litigation activity and results against comparable firms to contextualize performance within the broader market..
Comparative Analysis of Judge Rulings Against District Averages and Biographical Cohorts
Places an individual judge’s decision patterns in context by contrasting them with district norms and judges of similar backgrounds.