Backed by Gradient, Fileread use LLMs to make legal discovery more efficient
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.
Chan Koh Freya Zhou Democracy Lab Of Stanford University Gradient Ventures Deliberate Democracy Lab Stanford University
Source: techcrunch.com