Ex Parte

Ex Parte is a Litigation Intelligence Engineering company that applies artificial intelligence and machine learning to forecasting litigation outcomes and producing strategic legal recommendations. The firm's technical work spans machine learning, knowledge graphs, agentic intelligence systems, natural language and document analysis, predictive modelling and forensic legal analysis. Its staff combines former DOJ litigators with AI architects, and the company holds patents on its core technology. Headquarters are in Bethesda, Maryland.

Three products form the core of its offering. The Prediction Engine™, a patented system that reverse-engineers legal outcomes and identifies the vulnerabilities that determine case results, forecasts litigation outcomes with approximately 85% accuracy. The Recommendation Engine™ generates data-driven strategic recommendations for legal decision-making. The Litigation Intelligence Platform runs agentic systems that perform forensic analysis - reconstructing examiner search logs, mapping prosecution history amendments and detecting mismatches between complaint allegations and specification requirements - drawing on a knowledge graph of more than 2 billion relationships that is continually enriched.

The data underlying these systems covers USPTO, PACER, Federal Circuit, District Court and ITC records. Clients include AmLaw 100 firms, Fortune 500 legal departments, hedge funds and litigation finance firms, placing the company's work at the intersection of legal practice, intellectual property, litigation finance and financial services.