The legal dimension of healthcare risk has never had an actuarial model.
A single medical malpractice verdict can exceed $10 million. Product liability exposure can run to billions. Workers' compensation dispute resolution costs the healthcare sector hundreds of billions annually. Despite the scale, outcome prediction in healthcare litigation remains qualitative, driven by claims handlers, defense attorneys, and institutional experience rather than reliable models trained on real case data.
Healthcare applies rigorous quantitative methods to clinical risk, operational performance, and financial exposure. Legal risk, often the largest variable-cost exposure on the balance sheet, has been treated as an art form. Criterica closes that gap with the same actuarial precision the rest of healthcare already expects.
Jurisdiction-specific verdict probability and severity for medical negligence.
Reliable win probability and expected value modeling for malpractice claims in litigation. Modeled against real court records, not settlement databases that systematically underrepresent verdict severity and distort reserve-setting benchmarks.
Case-level and portfolio-level modeling for pharma and device litigation.
Plaintiff win probability and settlement modeling for pharmaceutical, medtech, and medical device cases. Mass tort exposure aggregation across jurisdictions and plaintiff pools. Know your tail before it gets there.
Dispute resolution prediction and award modeling.
Litigation trigger probability for workers' comp claims. Dispute outcome prediction by jurisdiction and claim type. Expected resolution timeline and award distribution modeling, checked against actual tribunal records.
HHS, CMS, and state agency enforcement outcome modeling.
Enforcement action probability and severity modeling for healthcare regulatory exposure. False Claims Act, FDA enforcement, and state licensing actions, predicted against real enforcement records, not advisory opinions.
Medical malpractice, product liability, and healthcare regulatory enforcement coverage across federal circuits and state courts. Workers' compensation tribunal data across major jurisdictions.
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.