Legal discovery is one of the most time-consuming parts of litigation and typically involves team of specialists combing through towers of documents. Fileread, a startup that uses large language learning models (LLMs) to create tools for faster and more efficient discovery, announced today it has raised $6 million in seed funding.
The round was led by Gradient Ventures, Google’s AI-focused fund, with participation from Soma Capital.
Fileread’s tools are meant to increase the chances of crucial information being found in the discovery process, at a faster speed. Co-founder Chan Koh told TechCrunch that while he was studying engineering at Caltech, his parents lost his childhood home during the housing crisis of 2008 and did not understand the law well enough to find relief.
“Witnessing my parents grapple with the shock of losing something they’d worked so hard to attain was incredibly painf...
