From Document Storage to Agentic AI Platform
At ConnectLive, iManage signalled a decisive shift from traditional document management toward an agentic AI platform that treats organizational knowledge as a governed, living asset. The company is positioning its next-generation environment as a “context fabric” that understands content, relationships, and real-time activity across clients, matters, and teams. Rather than simply storing files, the platform continuously enriches this context with what people and AI agents are doing right now, creating a dynamic knowledge management evolution. Governance and security are embedded natively instead of added later, enabling enterprises to harness AI without sacrificing control. With a growing customer base that includes a significant portion of leading law firms and large enterprises, iManage is becoming the backbone for organizations that want AI agents to work directly on their institutional knowledge while maintaining strict enterprise knowledge governance standards.
Context Fabric: A Governed Foundation for Agentic Work
The core of iManage’s strategy is its context fabric, designed to make knowledge more contextual, actionable, and safely available across everyday workflows. This fabric allows governed AI systems to reason over documents, emails, matter histories, and prior work product in a permission-aware manner. As organizations move from AI experimentation to operationalization, the focus is shifting from model selection to data readiness and governance. iManage addresses this by ensuring that AI agents inherit existing security policies, ethical walls, and access controls. The platform’s design means AI can not only retrieve information, but also understand the relationships between matters, deals, and precedents, all within an auditable environment. This turns institutional knowledge into a trusted substrate for agentic work, where autonomous workflows can be deployed without opening gaps in compliance or risking uncontrolled data exposure.
MCP Server and Ask iManage: Making Knowledge AI-Ready
To operationalize agentic AI, iManage is expanding capabilities that connect large language models and AI agents directly to governed content. The Model Context Protocol (MCP) Server enables AI tools to search and surface permission-aware context from iManage Insight+, spanning work product, matter context, deal and litigation insights, and long‑held institutional expertise. This integration is extended into Anthropic’s ecosystem and the Claude store, giving organizations a governed path to let Claude interact with documents and matter histories without bulk exports or custom integrations. Meanwhile, enhancements to Ask iManage, such as playbook analysis for contracts, help teams consistently apply institutional knowledge to reviews while keeping activity inside the secure platform. Together, these features illustrate how an agentic AI platform can safely expose rich context to autonomous agents, while still honoring enterprise knowledge governance requirements.
Scaling Governance, Security, and Compliance for AI Agents
iManage is reinforcing its focus on governed AI systems by extending its security and records tools to an agentic scale. Security Policy Manager is evolving to support more granular controls on how AI is applied across clients and matters, allowing organizations to enforce nuanced rules as AI becomes embedded in daily work. Threat Manager now surfaces AI agent activity directly in user reporting, giving security teams visibility into what agents access, move, or modify. On the records side, Disposition Manager and Records Manager improvements enhance reporting speed, workflow reliability, and synchronization with the cloud, ensuring that lifecycle and retention policies stay aligned with AI-driven usage. This comprehensive approach underscores that sustainable AI adoption is not only about smarter models, but about enterprise knowledge governance that can withstand autonomous, high-volume agent activity.
Reducing Friction While Keeping Collaboration Governed
Beyond AI infrastructure, iManage is also addressing the practical reality of how professionals collaborate around knowledge. New Collaboration Links let teams securely share documents externally via simple links while keeping content inside the governed platform. External parties can view or co-author documents through familiar productivity tools, without requiring an iManage account or triggering uncontrolled content sprawl. Native OCR capabilities turn years of scanned documents and image-based PDFs into searchable, AI-legible assets, ensuring that critical knowledge is not invisible to search or AI assistants. Multi-region search in Insight+ unifies discovery across jurisdictions and offices. Together, these upgrades show how an agentic AI platform can be woven into everyday workflows: lowering friction for users, expanding the pool of knowledge available to AI agents, and ensuring that every interaction remains within a secure, compliant governance framework.