DeepJudge
Enterprise search that turns firm knowledge into AI-ready intelligence
About
DeepJudge is a Zurich-based AI platform that indexes a law firm's internal repositories, iManage, SharePoint, OneDrive, email, and more, into one permission-aware enterprise search layer. Founded in 2021 by former Google AI researchers, it raised a $41.2 million Series A led by Felicis at a reported $300 million valuation, and reports over 500% year-over-year revenue growth. Lawyers use natural language to find precedents, past negotiations, and matter overviews, and AI Workflows connect language models to firm data for tasks like negotiation intelligence. It has partnerships with Harvey, Thomson Reuters, and Legora. It is search and retrieval infrastructure, not a full practice management suite.
What it can do
- Cross-repository natural-language search; SuperSearch for cross-matter analysis; multi-document chat; AI Workflows for negotiation intelligence and matter overviews; permission-aware results; Agent Handoff Protocol for context continuity with Harvey and others.
Setup
Connectors to document repositories; index built without data migration.
Prerequisites
Firm document management systems; IT approval for connectors.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: $41.2M Series A led by Felicis at $300M valuation verified via Global Legal Post and Complete AI Training.; 500%+ YoY revenue growth is company-reported; Freshfields and other firm adoptions confirmed.; Search/retrieval infrastructure, not full practice management — noted..
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.