Construction and real estate disputes are predictable. They are not being predicted.
Disputes in construction and real estate follow patterns that are statistically identifiable: by project type, contract structure, jurisdiction, and counterparty profile. Yet the industry treats litigation as an event that happens to it rather than a risk that can be quantified, mitigated, and priced. Criterica brings outcome intelligence to disputes before they become litigation.
The firms that price legal risk correctly have a structural advantage in bidding, contracting, and capital deployment. The data to do this has existed for decades in court records that no one has aggregated and modeled at scale. Criterica has done that work.
Which projects are most likely to generate claims?
Predict dispute probability by project type, contract structure, and counterparty profile, before construction begins. Price the risk, manage the exposure, or walk away with data to support the decision.
Reliable outcome modeling for disputes in litigation.
Expected value modeling for construction and real estate disputes in litigation. Resolution timeline prediction. Settlement band analysis by venue and case type.
Environmental, zoning, and compliance enforcement risk.
Enforcement action probability and severity for construction and real estate regulatory exposure. Which permitting decisions, zoning challenges, and environmental actions historically generate the most costly litigation?
Risk-adjusted contract terms before execution.
Score contract risk based on the historical dispute rate of similar terms, counterparty profiles, and jurisdiction. Know what you're signing before you sign it.
Construction, real estate, and infrastructure dispute records spanning federal and state courts across multiple jurisdictions. Regulatory enforcement data from environmental, zoning, and municipal agencies.
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.