eBrevia

eBrevia commercializes machine-learning technology developed at Columbia University to analyze and extract information from contracts.

eBrevia is commercializing machine-learning technology developed at Columbia University to analyze, extract information from, and summarize legal documents. The software reduces the time and cost associated with legal document review while improving a user’s accuracy. The technology has applications for due diligence, contract management, and document drafting. eBrevia was one of four national winners in the Startup America DEMO Competition. CIO.com then selected the company as having one of the top ten enterprise products at the DEMO conference. The company also won the Connecticut Technology Council’s Most Promising Software Product of the Year award.