Government enforcement operates without systematic outcome prediction.
Regulatory agencies pursue thousands of enforcement actions annually with limited visibility into which cases will succeed, how long they will take, and what outcomes are statistically likely given the agency's track record in similar proceedings. Resource allocation, settlement authority, and litigation budget decisions are made without the quantitative foundation that private litigants are beginning to demand.
Criterica provides the enforcement analytics infrastructure to help agencies allocate resources, set realistic expectations, and measure performance against actual historical baselines. The same court records that power private litigation intelligence power government enforcement intelligence.
Which cases succeed, and how long do they take?
Enforcement action outcome probability modeled against the agency's own historical track record by matter type and jurisdiction. Set realistic timelines and resource commitments against data, not optimism.
Administrative proceeding outcome modeling.
Outcome probability for agency adjudications, ALJ decisions, and appellate review. Understand the statistical profile of your agency's proceedings before they begin.
Regulatory exposure modeling for regulated entities.
Enforcement probability and severity modeling for entities subject to agency oversight. Know your agency's enforcement priorities and outcomes before the investigation notice arrives.
System-level litigation and enforcement analytics.
Aggregate outcome measurement across the full enforcement portfolio. Performance metrics measured against historical baselines for reporting, budgeting, and strategic planning.
SEC, FTC, DOJ, CFPB, HHS, EPA, and state agency enforcement records are part of the Criterica corpus, alongside real court records spanning civil, criminal, and administrative proceedings.
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.