DeepJudge & Harvey partner to add firm knowledge to AI
Tue, 26th May 2026 (Today)
DeepJudge and Harvey have formed a partnership to integrate institutional knowledge into AI legal workflows for law firms and in-house legal teams.
The arrangement links Harvey's AI platform for legal and professional services with DeepJudge's system for surfacing an organisation's prior work, decisions and internal expertise. The combined offering is designed to help legal teams use AI for research, drafting, analysis and decision-making while drawing on their own historical materials and established ways of working.
The partnership addresses a longstanding problem in legal technology: much of a firm's knowledge sits in past matters, memos and negotiated positions, often spread across different systems and teams. That fragmentation can make it difficult for lawyers to apply past reasoning consistently and can limit the usefulness of AI systems that lack access to the context behind earlier work.
Under the arrangement, DeepJudge will bring an organisation's previous work and internal knowledge into Harvey's workflows while keeping existing access permissions and ethical walls in place. Work generated in Harvey will also be reflected in DeepJudge, creating a feedback loop in which new matters add to the organisation's searchable knowledge base.
The companies said this is intended to align AI outputs more closely with the standards and judgment of a specific legal team, rather than relying only on general models or public information. In practice, that could mean surfacing accepted drafting language, similar analyses from earlier matters and relevant internal materials from across teams and sectors.
Harvey has built a customer base of more than 1,500 organisations in over 60 countries, according to the company. DeepJudge, founded by former Google researchers with doctorates in artificial intelligence from ETH Zurich, operates across North America and Europe and focuses on helping legal teams organise and use internal knowledge.
Context problem
The legal sector has been one of the most active professional services markets for generative AI, with firms and corporate legal departments testing tools to summarise documents, review contracts, conduct due diligence and support litigation work. But many deployments have exposed a gap between broad AI reasoning and the specific institutional context that shapes how a legal team works.
That issue is sometimes described as a context problem: firms may hold decades of expertise, but it is not always structured in a way that software can use effectively. As a result, lawyers often still need to supply detailed background, precedents or internal preferences before an AI tool can produce work that matches the organisation's standards.
DeepJudge and Harvey said the partnership is intended to reduce that burden by making institutional knowledge available within daily workflows. The aim is to help legal professionals move from research to drafting to decision-making without repeatedly reconstructing the same internal context.
Paulina Grnarova outlined the rationale for the partnership.
"Legal AI has made remarkable progress on reasoning, and Harvey is a testament to that. DeepJudge brings past work, decisions, and institutional expertise directly into that reasoning, so that the resulting work reflects the judgment, standards, and ways of working unique to each firm or legal department. Together, DeepJudge and Harvey enable legal professionals to manage the full arc of legal work seamlessly, while ensuring AI outputs are grounded in how they actually practice," said Paulina Grnarova, Chief Executive Officer and Co-Founder of DeepJudge.
Winston Weinberg said the partnership is intended to connect legal AI tools more directly to the internal record of a firm's work.
"DeepJudge knows your firm through every past matter, memo, and negotiated position. Most firms have decades of expertise embedded across prior work and decisions, but that knowledge is often fragmented and difficult to apply consistently in practice. This partnership closes that gap by bringing a firm's institutional knowledge directly to Harvey users, enabling legal teams to ground their work in prior expertise and run their practice on a system that reflects how they actually operate," said Winston Weinberg, Chief Executive Officer and Co-Founder of Harvey.
Law firm use
The companies also pointed to early use in private practice. Legal teams can use the combined systems to identify prior positions and approved language directly within existing workflows, rather than treating knowledge management and drafting as separate tasks.
Martin Durkin, a partner at Holland & Knight, described how the systems are being used in practice.
"When drafting in Harvey, we rely on DeepJudge to ensure everything we produce reflects what's actually accepted within our firm. Harvey accelerates how we work, while DeepJudge grounds every output in our experience and judgment. Together, they bring our firm's unique thinking into every document, turning AI into a true differentiator," said Durkin.
The partnership reflects a broader shift in legal technology from standalone AI tools towards systems tied more closely to internal data, governance rules and established workflows. For law firms and in-house teams, the value of those systems will depend not only on the quality of model outputs, but on whether they reflect the accumulated judgment built over years of legal practice.