Structured prediction across civil, commercial, and complex litigation proceedings.
Calibrated risk intelligence for litigation funders, insurers, and capital allocators.
Regulatory compliance and liability analysis across clinical and institutional settings.
Legal capital markets operate on information asymmetry.
The infrastructure to price, underwrite, and manage legal risk has never been built at institutional scale. Criterica is that infrastructure.
Funders commit capital before structured outcome probability exists. The decision precedes the data by months.
$17B+ US litigation finance market — 40% of capital allocated without calibrated outcome data
Outcome distributions shift by 20 to 40 percent on judicial assignment alone. Most positions are built without this signal.
Legal professionals make 4M+ risk decisions annually without model-validated outcome intelligence
Correlated case concentration accumulates invisibly at book level. Systemic exposure is only visible after it materializes.
Court records span 106M+ filings across 89 jurisdictions — less than 3% of available signal reaches underwriters
Legal risk is priced on actuarial tables and counsel intuition. Case-specific factors remain structurally excluded from the model.
Average case duration: 26 months. Intelligence-informed intake reduces duration exposure by 18%
Calibrated outcome probability before capital is deployed. Jurisdictional models trained on real court records, not synthetic distributions.
Judge-level decision history, venue bias, and assignment probability modeled at the circuit, district, and individual level.
Cross-case correlation, concentration scoring, and stress-test modeling across litigation book positions and time horizons.
Built for humans who require certainty.