Ex Parte offers a software‑as‑a‑service legal‑tech platform that leverages artificial intelligence, machine learning, and natural language processing to predict litigation outcomes and generate data‑driven recommendations. Its patented Prediction Engine™ forecasts case outcomes with approximately 85% accuracy, while its patented Recommendation Engine™ advises on whether to litigate or settle, which claims to assert, where to file or defend, and which attorneys or law firms provide the best chance of success given case‑specific factors. Customers and prospects include corporations, hedge funds, law firms, insurance companies, litigation finance firms, and universities. The company said it will use the Series A proceeds to expand its engineering team and invest in sales and marketing to further scale new customer growth. Ex Parte positions its product as a response to the roughly $250 billion annual U.S. litigation spend and aims to bring data‑driven decision‑making to the legal field. The company is headquartered in the Washington, DC area and is led by founder and CEO Jonathan F. Klein.

Total raised

$8M

Funding rounds

1

Latest round

Series A

Latest activity

Feb 2022