Ex Parte vs Fortuna Legal

Ex Parte is a web platform for finding vulnerabilities that may affect legal cases. It provides a permissioned workspace for each matter, with reports that connect findings to source pages, lines, and citations. Specialized agents examine examiner search logs, prosecution history amendments, and gaps between complaint allegations and patent specifications. The company says a quality-review agent checks findings against primary sources before delivery. Its knowledge graph draws on sources including USPTO file wrappers, PTAB proceedings, PACER filings, court opinions and dockets, IEEE Xplore, ACM Digital Library, PubMed, and SEC EDGAR. Ex Parte says its entity graph contains more than 2 billion entities and its knowledge graph maps more than 2 billion relationships among patents, parties, counsel, judges, and outcomes. It identifies law firms, corporate counsel, litigation finance, hedge funds, insurers, and universities as potential users. Pricing is on request; a free trial is available without a credit card. Trial use is for internal evaluation, may be limited or suspended, and offers no service levels or support. Trial outputs may contain errors and require independent verification.

Fortuna Legal is a web service that applies AI to court cases for legal-outcome investment decisions. Its proprietary classifier models are trained and labeled for particular outcomes and workflows. The service describes financing promising cases, with returns tied to successful outcomes, and provides dashboards and performance metrics for tracking investments. Listed services include open-source predictions, proprietary prediction data, and academic blog content. Premium predictions are currently invitation-only; an access request asks for a name, email, phone number, and business name. Founded in 2014, Fortuna Legal is operated by Fortuna Arbitration, a subsidiary of Fortuna-Insights, Inc. The company says it is not a law firm and does not provide legal advice. Its predictions and analyses are probabilistic estimates that may be inaccurate or outdated, so independent verification is advised. The privacy notice says user inputs and outputs, including uploaded documents, may be recorded and used to train or develop AI models. Pricing is available on request, and the service runs on the web.