Legal platforms need outcomes data. Building it themselves is not viable.
Practice management platforms, e-filing systems, legal research tools, and CLM vendors all face the same problem: their users want outcome intelligence, but building reliable prediction infrastructure requires vast real court records, jurisdiction-specific model training, and ongoing validation infrastructure that is not a legal technology company's core competency.
Criterica is the prediction infrastructure layer for legal technology. Integrate the model fleet without building it. Deliver outcome intelligence to your users on your platform, under your brand, powered by Criterica's production model fleet.
Production model fleet available via authenticated API.
Jurisdiction-specific production models accessible via structured API. Outcome probability for any case type, in any covered jurisdiction, on demand. Integrate once. Stay current as models are updated.
Outcome scores inside your existing workflows.
Probability outputs formatted for direct integration into case management workflows, dashboards, and reporting tools. No new UI required. Your platform surfaces the intelligence; Criterica supplies the model.
Precedent with probability context attached.
Legal research results annotated with judge behavior profiles, venue outcome rates, and case-type probability distributions. Research that tells users not just what the law says, but what courts actually do.
Criterica's infrastructure under your brand.
Full white-label integration for platforms that want to own the user relationship. Criterica supplies the prediction infrastructure. Your platform delivers the experience.
Production models accessible via API. Coverage across federal districts, circuits, and state courts. Jurisdiction-specific model isolation: no pooled approximations.
Statistics shown reflect historical or illustrative model outputs derived from real case data. They are not predictions or guarantees of any individual outcome. Litigation results depend on facts, jurisdiction, judge, and counsel, and vary case by case. Model accuracy is subject to selection effects and changing legal dynamics.