Discernis raises $2.5M seed to scan entire case files with AI
What's the deal? DiscernisDealroom has a profile for this one. Try Dealroom →, a New York legal-tech startup, has raised $2.5 million in a seed round led by Newfund CapitalDealroom has a profile for this one. Try Dealroom →, with Triple Impact CapitalDealroom has a profile for this one. Try Dealroom →, Remarkable VenturesDealroom has a profile for this one. Try Dealroom →, and C2 VenturesDealroom has a profile for this one. Try Dealroom → participating. Announced on August 25, 2026, the funding will support product development and expansion into large law firms and corporate legal departments.
What's the endgame? Discernis builds AI software that reads every document in a case file rather than sampling a subset. Founder and chief executive officer Rob Kwiatkowski said the product works like “one extremely smart associate who has read all of the documents in the case.”
Why now? Legal teams handling litigation and investigations often must review millions of documents under tight deadlines. Discernis says its system reviews more than 50,000 documents per hour and scales with added hardware, aiming to surface evidence that only appears across an entire record.
What's the product? The platform deploys on-premises or in a customer's own secure cloud, with all inference running inside that environment and no third-party AI API calls. Attorneys can paste in an existing review protocol instead of learning prompt engineering. The software is already in use at Am Law firms for active litigation.
Kwiatkowski holds a PhD in computer science from Columbia University and built Amazon's first reinforcement learning from human feedback (RLHF) training pipeline at AWSDealroom has a profile for this one. Try Dealroom →. Henri Deshays, general partner at NewfundDealroom has a profile for this one. Try Dealroom → Capital, said he has the technical depth to run frontier-level AI inside a law firm's walls.
The signal: The raise reflects investor interest in legal AI that does full-record analysis, not just search and summary. As legal buyers tighten data-control requirements, Discernis is betting that sovereign deployment and full-document review will set it apart from retrieval-based tools that can miss links across large case files.
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