Backed by Gradient, Fileread use LLMs to make legal discovery more efficient
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 ra...
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. The round was led […]
Backed by Gradient, Fileread use LLMs to make legal discovery more efficient by Catherine Shu originally published on TechCrunch
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