Managed and auditable access to iManage content for AI replaces fragmented custom integrations, eliminates vendor lock-in, and keeps sensitive information safe within the iManage platform.
iManage, a company dedicated to putting knowledge to work, announced iManage MCP (Model Context Protocol) Server, a standardized open protocol connection. This allows artificial intelligence (AI) systems to securely access managed iManage content without custom integrations, bulk data exports, or violating existing security, ethics walls, and compliance controls.
Survey results from iManage Knowledge Work Benchmark Report 2026 It becomes clear that the market is reshaping faster than most organizations can keep up. Almost half of global leaders expect new legal frameworks specifically to govern interactions between AI to emerge within 10 years, and two-thirds say the changes will be transformative for their businesses. However, 32% cite integration complexity as one of the biggest barriers to AI adoption. iManage MCP Server resolves that tension by providing a single, standardized connection between the iManage platform and any AI system, whether it’s Harvey, Legora, ChatGPT, Claude, Microsoft Copilot, or a company’s own AI agent.
“Customers don’t choose one AI tool and stop there. They’re already experimenting with multiple AI systems, but the real challenge is connecting those tools to the knowledge that matters most without creating new governance gaps or operational complexities,” said Neil Araujo, CEO of iManage. “iManage MCP Server gives organizations a managed way to do that, enabling privilege-aware access to business-critical knowledge that remains managed within iManage, while giving teams the flexibility to deploy the AI tools that make the most sense for their business.”
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The main features of iManage MCP Server are:
- Standardized AI connectivity – A single MCP connection replaces a growing list of custom API integrations. MCP is an open, vendor-neutral standard, so any MCP-compatible AI system can be configured once and connected. Businesses add, switch, or onboard new AI tools without requiring new IT projects and without being locked into a single vendor.
- Documents stay in place – AI can now access iManage content without bulk exporting documents, eliminating the need for AI tools to save copies of documents
- Managed and auditable access – All AI access to iManage content via MCP is authenticated, privilege-restricted, and fully logged, respecting existing ethics walls and access controls. IT and compliance teams can approve AI deployments with confidence. Legal defensibility maintained without additional tools
- Better AI gives you better answers – AI tools get full context, accurate results, and direct from controlled sources without data duplication.
“While we have already invested in AI tools across the company, the real value lies in being able to securely connect those tools to the managed knowledge held in iManage,” said Mike Peters, Information Manager at RSM Australia. “iManage MCP Server provides a practical path to achieving each AI use case without treating it as a bespoke integration project. For organizations managing sensitive client information, the ability to connect AI capabilities to permission-aware and managed content is an exciting development and strongly aligns with modern ways of working.”
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