DeepJudge has been recognized as the #1 Most Recommended Legal AI Vendor in the 2026 SKILLS.law Net Promoter Score Survey, marking the second consecutive year the company has earned the top position.
Conducted by the Strategic Knowledge and Innovation Legal Leaders' Summit (SKILLS), the survey reflects the views of a highly influential group of senior knowledge, innovation, and legal operation leaders from many of the world’s largest law firms. These are the decision-makers shaping how AI is evaluated, adopted, and scaled across organizations, and their continued recognition underscores DeepJudge’s growing role as the knowledge foundation behind successful legal AI strategies.
“DeepJudge stands out because it solves a problem at the core of every serious legal AI strategy: turning the firm’s knowledge into something people and AI can access and use,” said Oz Benamram, founder of SKILLS.law. “The fact that DeepJudge was the most recommended LegalTech vendor to work with—for the second year in a row—says as much about the team as it does the product..”
The full 2026 rankings:
- DeepJudge
- Centari
- SimplyAgree
- Legora
- Harvey
- Draftwise
- Syntheia
- Definely
- Legatics
- Clio (vLex)
In the survey, vendors were assessed on product quality and reliability, value for money, security, user experience, customer support, integration, roadmap, joy, and personal alignment. DeepJudge also ranked among the most actively used, piloted, and evaluated platforms for core legal AI use cases including search and retrieval, summarization, and agentic workflows and applications.
“If retrieval breaks, AI breaks. That is the reality behind legal AI,” said Paulina Grnarova, co-founder and CEO of DeepJudge. “Recognition from senior leaders across the world’s largest law firms makes this especially meaningful, because these are the people shaping how AI is evaluated, adopted, and scaled in practice. Our strong adoption, usage, and user satisfaction scores are an attestation to the trust firms place in DeepJudge. It reinforces what we have believed from day one: a strong knowledge foundation is fundamental to AI being able to deliver meaningful value.”
Trusted by Leading Firms and Legal Teams
Many of the world’s leading law firms and legal teams trust DeepJudge to make institutional knowledge searchable, usable, and AI-ready. Customers include Freshfields, Holland & Knight, Gunderson Dettmer, ArentFox Schiff, Cozen O'Connor, CMS, and Homburger, as well as corporate legal teams including SBB.
The trust translates into measurable impact:
- Users save more than 65 hours per year on search
- 90% report finding results faster than with existing tools
- Firms reach over 85% adoption in under two months
- Average ROI in the first year is 4x
Why firms are choosing DeepJudge
The knowledge layer firms need. DeepJudge indexes the full breadth of institutional knowledge across DMS, SharePoint, experience management systems, and beyond, across every content type, without data migration or manual curation.
Cross-matter intelligence. DeepJudge gives lawyers the ability to surface what the firm knows across matters, not just documents, connecting experience, precedent, and expertise at scale.
Model-agnostic and agent-ready. DeepJudge works with any LLM, including direct integration with Claude via MCP. Firms can deploy built-in AI workflows out of the box, build custom workflows, create agent skills for repeatable tasks, or connect agents directly to the full scale of their internal data. With more than 23 queries per user per day and growing, lawyers are building habits, not just running searches.
Purpose-built for legal. Developed by former Google AI researchers alongside top law firms, the platform is designed for legal nuance, firm context, and the governance requirements that enterprise deployment demands.
This latest recognition from SKILLS.law is another signal that the market is moving decisively toward platforms that combine enterprise-grade search, trusted knowledge access, and AI readiness in one solution. The question firms are asking in 2026 isn't which AI to bring to their documents. It's how to bring AI to everything they've ever worked on.
