Fileread uses large language models to create tools that speed and improve legal discovery workflows. Its platform lets users query uploaded document corpora and returns highlighted answers with citations pointing to the original sources. The company began after its founders collaborated with Stanford’s Deliberate Democracy Lab and was founded in 2020 by Chan Koh and Daniel Hu; Freya Zhou joined as COO and co‑founder. Fileread is already being used on a case with more than a million documents and a reviewer team of about 40–50 specialists, demonstrating scale and time-saving potential. The company positions itself differently from Casetext (which focuses on case research) and Harvey (which targets broader legal services). Fileread raised seed funding and plans to use the new capital to hire, scale its product, and explore additional LLM applications for legal workflows.

Total raised

$6M

Funding rounds

1

Latest round

Seed

Latest activity

Jul 2023