DeepJudge and Legora link legal AI with firm knowledge

DeepJudge and Legora announced a partnership on August 18, 2026, in Zurich that connects institutional legal knowledge to collaborative AI workflows. The integration lets firms search, draft and review in Legora using DeepJudge’s governed knowledge base, while new work product flows back into DeepJudge.

Why it matters: - Law firms and in-house legal teams can now connect precedent, drafting standards and other institutional knowledge directly to AI-assisted legal work. - The integration is designed to make firm-specific context available inside workflows for research, drafting, review and due diligence. - New work product can flow back into the knowledge system, which creates a feedback loop between past matters and future work.

What happened: - DeepJudge and Legora announced a partnership on August 18, 2026, in Zurich. - DeepJudge is the institutional intelligence platform for law. - Legora is the agentic operating system for legal work. - The partnership brings an organization’s knowledge, precedent and expertise into Legora’s AI-powered workflows. - New work product in Legora is carried back into DeepJudge.

The details: - Lawyers can search and analyze their organization’s collective knowledge in DeepJudge and send selected documents directly to Legora for negotiation, review and drafting. - That transfer works from either the Legora or DeepJudge platforms. - Legora automatically retrieves relevant precedent and prior work through DeepJudge. - Lawyers can move context back into DeepJudge through DeepJudge’s recently announced Agent Handoff Protocol, which preserves context as work moves between AI environments. - At an organization’s direction, DeepJudge can index work created in Legora and documents stored in Legora projects alongside other proprietary knowledge sources. - That setup creates a single enterprise search across the organization’s sources. - DeepJudge customers keep the same governed index and permissions while using Legora for legal research, drafting, review, due diligence and related tasks. - Legora outputs will cite the source document across those sources so users can verify their work. - DeepJudge said the partnership turns a legal organization’s collective experience into governed institutional intelligence that lawyers and AI agents can apply to new work. - DeepJudge said the integration creates a continuous cycle between what an organization knows and the work it produces.

Between the lines: - The partnership is aimed at solving a core legal AI problem: context quality. - Firms often have decades of internal precedent and judgment that generic AI tools do not capture. - The integration gives Legora a way to draw on firm-specific knowledge instead of only public or general-purpose sources. - Schoenherr’s Director of Legal Tech & Innovation, Andrei Salajan, said context is what makes legal AI useful and described the firm’s know-how as a layer that no one else can replicate. - Legora CEO Max Junestrand said context becomes increasingly critical as AI takes on more legal work. - DeepJudge CEO Paulina Grnarova said the partnership puts institutional intelligence directly into the flow of legal work.

What’s next: - As legal work continues in Legora, new work product will flow back into DeepJudge and become part of the institutional intelligence available for future matters. - The companies are positioning the integration for broader use across legal research, drafting, review, due diligence and other agent-driven workflows. - DeepJudge says the system will keep adding to the organization’s experience as more work is completed.

The bottom line: - DeepJudge and Legora are tying together enterprise knowledge and agentic legal work so firms can use their own precedent and judgment at the point of need.