DeepJudge Raises $41.2M Series A To Expand Enterprise Legal AI in the US and UK
DeepJudge closed a $41.2 million Series A led by Felicis, with continued participation from Coatue. The company plans to expand product development and support growing demand across the United States and the United Kingdom.
Law firms are responding. DeepJudge reports more than 500% year-over-year revenue growth as firms seek secure, scalable access to institutional knowledge.
Who's adopting
Freshfields selected DeepJudge as a core pillar of its AI and knowledge strategy after a detailed evaluation. The goal: streamline lawyer workflows and increase reuse of firm expertise.
- New adopters: Holland & Knight, Cozen O'Connor, ArentFox Schiff, Schoenherr
- Previously announced: Gunderson Dettmer, CMS Switzerland, Homburger, Lenz & Staehlin
What DeepJudge actually is
DeepJudge is an enterprise search platform that connects document repositories, emails, intranets, and client portals to retrieval-augmented AI agents-without moving data. It respects existing confidentiality, security, and permission boundaries.
The emphasis is on precise retrieval of legal knowledge so generative models reason on the right context. In short: find the exact clause, memo, or thread your matter needs, then let AI work from there.
Why this matters for legal leaders
- Knowledge reuse at scale: Surface prior work, arguments, and niche expertise fast-especially across offices and practice groups.
- Lower risk, fewer blind spots: Keep permissions intact while cutting time spent hunting for documents.
- Better AI outcomes: Accurate retrieval improves drafting, review, and research quality from generative systems.
- Less tool sprawl: Move beyond siloed chatbots to an integrated knowledge layer wired into firm systems.
Practical evaluation checklist
- Does it inherit and enforce your existing permission model across all sources?
- Can it connect to your core repositories, email, and client portals without copying data?
- How does it measure retrieval quality (precision/recall) and latency for real matters?
- What auditability exists for searches, access, and AI outputs?
- What are active usage and adoption patterns in firms similar to yours?
- Can you pilot on a defined matter type and compare time-to-answer vs. current workflow?
Who's behind it
DeepJudge was founded by former Google researchers Paulina Grnarova, Kevin Roth, and Yannic Kilcher, who hold PhDs in AI from ETH Zurich. The company positions its platform as a core infrastructure layer for AI workflows in legal practice and reports high active usage across customers.
What industry leaders are saying
"Innovation at Freshfields is about strengthening how we work and preparing for what's next. DeepJudge supports that by enabling responsible, targeted use of proprietary knowledge and powering bespoke AI workflows tailored to our standards. It will enhance our ability to deliver for clients as the legal industry evolves." - Gil Perez, Chief Innovation Officer, Freshfields
"DeepJudge stands out in a crowded AI landscape because it is laser-focused on one thing: making search better. What differentiates our firm is our people, experience, and expertise. With DeepJudge, we can surface and reuse the vast knowledge of our lawyers-at scale and in context. We expect it to fit seamlessly into our solutions portfolio and to further advance our strategic AI initiatives by providing modern, frictionless access to our know-how." - Andrei Salajan, Director of Legal Tech & Innovation, Schoenherr
"In legal AI, accurate retrieval matters more than anything else: if your system can't surface the exact piece of knowledge in the moment it's needed, every subsequent step will break down. Generic RAG engines fall apart when confronted with messy, permission-walled legal data. We built DeepJudge as a secure, precision retrieval layer purpose-built for law, so generative models can reason confidently on the right context every time." - Paulina Grnarova, CEO, DeepJudge
"Legal teams are done experimenting with siloed chatbots. They need AI that is deeply wired into their own knowledge so lawyers can move faster, win business, and still meet the bar for confidentiality. DeepJudge's technical rigor, impressive research, and traction prove they are the platform firms want to work with. We are excited to support DeepJudge as they equip legal teams with the latest AI tooling." - Viviana Faga, General Partner, Felicis
Bottom line
The market is signaling a shift from isolated pilots to firmwide knowledge systems that respect permissions and fuel better legal work. With fresh funding and expansion in the US and UK, DeepJudge is positioning itself to meet that demand.
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