Discernis raises $2.5M seed round for litigation AI

Discernis raised $2.5 million in seed funding to expand an AI system that scans entire case files, not just sampled documents, for litigation and investigations. The New York legal-tech startup says the software is already in use at Am Law firms and is designed to keep sensitive data inside a firm’s own environment.

Why it matters: - Legal teams handling litigation, investigations, and regulated matters often need to review millions of documents under tight deadlines. - Discernis aims to find evidence that only appears across an entire record, which can change case strategy and reduce missed context. - The product is built to keep client data off third-party AI services, a requirement in many regulated and enterprise legal workflows.

What happened: - Discernis announced a $2.5 million seed round on August 25, 2026. - Newfund Capital led the round. - Triple Impact Capital, Remarkable Ventures, and C2 Ventures also participated. - Discernis is based in New York City. - The company develops legal intelligence software for litigation and investigations.

The details: - Discernis AI reads every document in a collection instead of sampling a subset. - The system is already in use at Am Law firms for active litigation matters. - The funding will support product development and expansion into large law firms and corporate legal departments. - Discernis says the system reviews more than 50,000 documents per hour and scales with additional hardware. - Attorneys can paste in an existing review protocol instead of learning prompt engineering. - The platform deploys on-premises or in a customer’s own secure cloud environment. - All inference runs inside that environment, with no third-party or commercial AI API calls. - Rob Kwiatkowski, founder and CEO, said the product is designed like “one extremely smart associate who has read all of the documents in the case.”

Between the lines: - The raise signals investor interest in legal AI tools that can do full-record analysis, not just search and summarize. - Discernis is positioning itself against document-by-document and retrieval-based AI systems that can miss links across large case files. - Henri Deshays, general partner at Newfund Capital, said Kwiatkowski has the technical depth to run frontier-level AI inside a law firm’s walls. - Kwiatkowski holds a PhD in computer science from Columbia University, where his research on self-aware robotic systems appeared on the cover of Science. - At AWS, Kwiatkowski built Amazon’s first RLHF training pipeline, a technique behind modern AI assistants.

What's next: - Discernis plans to keep developing Discernis AI and grow adoption among large firms and corporate legal teams. - The company is betting that sovereign deployment and full-document analysis will be key differentiators as legal buyers tighten data-control requirements. - Discernis will continue targeting matters where teams need fast review across very large document sets.