Predict case outcomes with data, not gut feel.
Run thousands of simulations on millions of historical decisions to quantify litigation risk. Compare scenarios, weigh evidence, and advise clients with measured confidence.
Litigation strategy decisions worth millions are made on experience alone.
Where to file, whether a motion is worth bringing, when to settle, what the realistic exposure is. These calls are worth millions, yet they are typically made on individual attorney experience and intuition, because the data and tools to quantify litigation risk have not existed. The result is inaccurate case valuations, venue choices driven by convenience over analytics, and client advice that conveys confidence without quantification.
Quantify risk across every variable that moves a case.
Monte Carlo simulation
Run thousands of simulated trials to model the probability of a win, loss, settlement, or dismissal, with confidence intervals and an expected value that factors in potential damages.
Case analytics
Profile ruling tendencies, motion grant rates, and time to decision benchmarks, then compare across venues to inform where and how you file.
Scenario comparison
Build what-if scenarios that adjust venue, evidence, or opposing counsel, then compare outcomes side by side and quantify how much each change moves the prediction.
Sensitivity analysis
Surface which variables most influence the result with tornado charts and factor contribution waterfalls, so you focus effort where it actually shifts the odds.
Precedent impact analysis
Weight authorities by relevance, recency, and jurisdiction, then see how adding or removing a single precedent reshapes the predicted distribution.
Evidence weight modeling
Assign strength to each evidence category and model the impact of an exclusion, an unavailable witness, or a production gap before it happens.
AI strategy recommendations
Turn simulation results into concrete guidance on filing, motions, and settlement, each grounded in the data with an impact score and confidence level.
Model performance tracking
Trust predictions over time with calibration curves, Brier scores, and feature importance rankings that measure accuracy against real outcomes.
Client-ready reporting
Export outcome distributions, scenario comparisons, and recommendations into reports that communicate risk and opportunity with quantified confidence.
From case facts to client advice.
Define case parameters
Move through a guided wizard that captures case facts, jurisdiction, judge or panel, precedents, and evidence weights before you run.
Run the simulation
Execute thousands of Monte Carlo trials and watch the outcome distribution take shape, with probability estimates and confidence intervals for each result.
Analyze and compare
Explore outcome charts, sensitivity tornado charts, and factor waterfalls, then build what-if scenarios and quantify the delta between strategic choices.
Recommend and advise
Review AI strategy recommendations grounded in the data, then export client-ready reports that communicate risk and opportunity with measured confidence.
Connected across the platform.
- Litigation: prediction data informs case strategy and settlement decisions
- Matters: simulation results associate with the specific matter they belong to
- Virtual Courtroom: practice the strategies the simulator surfaces
- Research: precedent data feeds the simulation models
- Analytics: prediction accuracy feeds firm-wide reporting