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Relativity and iManage Give Gemini Legal Two Jobs: Administration and Knowledge Retrieval

The same-day integrations put Gemini Enterprise for Legal closer to sensitive systems, but one is built to operate a legal platform while the other retrieves knowledge from it under existing controls.

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Relativity and iManage Give Gemini Legal Two Jobs: Administration and Knowledge Retrieval

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Gemini Enterprise for Legal is taking two very different routes into sensitive legal systems. One lets lawyers’ operations teams run parts of RelativityOne with natural-language commands. The other lets users retrieve governed knowledge from iManage inside Gemini’s workspace. Relativity’s integration, announced August 25, connects through the Model Context Protocol, or MCP. It is designed as an agentic execution layer: administrators can create matters, configure workspaces, manage access and workflows, surface usage patterns, and support access audits. The target audience includes litigation-support and legal-operations teams, service providers, and developers—not just people asking questions of documents. Relativity says the sensitive data stays in RelativityOne, while substantive analysis remains in its separate aiR product. iManage is taking the retrieval route. Its connection brings together matter, client, and personnel data with unstructured content, so users can find precedent, matter context, and institutional expertise without relying on static exports. The information is retrieved under existing permission controls. Google Cloud says potential uses include analyzing deal documents, e-discovery files, and precedent while preserving confidentiality. So the strategic split is clear: Relativity puts Gemini at the control plane for administering a legal platform; iManage puts it at the governed knowledge layer. The important constraint is that neither launch includes customer deployment results. For now, the designs are documented—but their real-world operational performance remains to be established.

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3 key points

Google Cloud’s Gemini Enterprise for Legal is entering legal workflows through two integrations announced August 25, but they target different control points. Relativity’s MCP connection lets administrators issue natural-language commands to create matters, configure workspaces, and manage access in RelativityOne. iManage instead exposes permission-governed precedent, matter context, and institutional knowledge...

  1. 01

    Relativity keeps sensitive data in RelativityOne and says substantive analysis remains in its separate aiR product.

  2. 02

    The MCP integration targets litigation support, legal operations, service providers, and developers—not only document question-answering.

  3. 03

    iManage combines matter, client, personnel, and unstructured content without static exports, using existing permission controls.

Google Cloud’s Gemini Enterprise for Legal is reaching into legal software through two notably different designs. Relativity is positioning Gemini as a natural-language interface for administering its RelativityOne platform. iManage is positioning it as a way to retrieve governed knowledge inside the Gemini workspace. The distinction is consequential: one connection is meant to carry out operational tasks, while the other is meant to bring controlled matter context to an AI assistant.

Relativity announced its connection on August 25. It links RelativityOne with Gemini Enterprise for Legal through the Model Context Protocol, or MCP. Relativity says the connection adds a conversational agentic execution layer: system administrators can create new matters, align workspaces with data structures, and manage access and workflows using natural-language requests.

The intended users include litigation-support and legal-operations teams, service providers, and developers. That makes this an administrative interface for the platform, not simply a document-questioning tool. Relativity says sensitive data remains in RelativityOne and substantive analysis remains in its aiR product. It also says the MCP integration can surface usage patterns, support access audits, and help manage matter lifecycles.

iManage launched its industry-specific Gemini Enterprise capabilities the same day. Its integration gives users direct access to governed knowledge, including precedent, matter context, and institutional expertise, without leaving the AI workspace. iManage says it connects matter, client, and personnel data with unstructured content, retrieving it under existing permission controls rather than relying on static exports.

The two products emphasize governance, but at different stages. Relativity’s stated controls concern operating the environment that holds a matter, including access auditing and lifecycle management. iManage’s stated design concerns retrieving material under the permissions already governing it. Google Cloud Vice President Satish Thomas said the iManage connection is intended to support analysis of deal documents, e-discovery files, and precedent while preserving confidentiality.

The launches offer different places for Gemini Enterprise for Legal to sit in a workflow: Relativity at platform administration, and iManage at governed knowledge access. iManage says its capabilities are intended for complex workflows across legal, financial-services, and life-sciences teams. Both companies describe the products in terms of intended capabilities, leaving their operational performance for customer deployments to establish.

Sources

  1. googlecloudpresscorner.comRelativity Accelerates Enterprise AI Transformation with Google Cloud
  2. prnewswire.comRelativity Accelerates Enterprise AI Transformation with Google Cloud
  3. googlecloudpresscorner.comiManage Accelerates Enterprise AI Transformation with Google Cloud