From Knowledge Repositories to Agentic AI Platforms
At ConnectLive, iManage unveiled the next evolution of its platform, framing it as a foundation specifically designed for agentic AI. Rather than treating AI as an add-on, the new architecture centres on a “context fabric” that understands content, relationships, and real-time activity across the organisation. This fabric transforms static repositories into a living, governed layer of knowledge and context that AI agents can reason over. With governance and security policies embedded natively, the platform functions as an agentic AI platform that can safely activate institutional knowledge for both people and machines. The shift reflects a broader market move from AI experiments to operationalised, workflow-embedded AI. As enterprises evaluate new AI tools, the critical differentiator is no longer the model alone, but whether their enterprise knowledge management systems are ready to deliver secure, permission-aware context at scale.
Making Enterprise Knowledge AI-Ready and Context-Rich
iManage’s latest capabilities are engineered to turn existing documents, emails, and matter histories into AI-ready knowledge systems. The iManage Model Context Protocol (MCP) Server allows AI agents and large language models to query governed content directly, drawing on work product, precedent, litigation insights, and institutional context while honouring existing permissions. New Insight+ Multi-Region Search adds a unified search layer across regions, ensuring global teams and AI tools can surface relevant, governed content regardless of where it resides. Native OCR further unlocks value by converting scanned files and image-based PDFs into searchable, AI-legible assets, preventing critical knowledge from remaining invisible to AI assistants such as Ask iManage. Together, these features position enterprise knowledge management not merely as storage, but as a dynamic context engine that feeds governed AI context into agents and workflows.
Governed AI Context and Security at Agentic Scale
To support agentic AI at scale, iManage is strengthening governance, security, and compliance across its platform. Security Policy Manager is evolving beyond traditional document access control to support more granular, client- and matter-level rules for AI usage. This ensures AI agents respect ethical walls and nuanced governance requirements as they become embedded in daily work. Threat Manager now exposes AI agent activity within user activity reporting, giving security teams greater insight into what agents access, move, or modify. On the records side, Disposition Manager introduces more responsive, cloud-native records management, allowing managers to intervene when workflows encounter exceptions, while Records Manager gains faster reporting and new status visibility. These enhancements are designed to keep governed AI context tightly controlled, ensuring that as organisations deploy more autonomous agents, they can still monitor, audit, and refine how knowledge is used.
Expanding the AI Ecosystem While Keeping Knowledge Governed
iManage is extending its governed knowledge foundation into a broader AI ecosystem, notably through availability in Anthropic’s partner ecosystem and Claude store. Using the MCP Server, Claude can tap into governed iManage knowledge—including matter histories, documents, and institutional context—without bulk data exports or bespoke integrations. Access remains permission-bound and auditable, providing a governed path to multi-tool AI strategies. By acting as a central, governed hub for enterprise knowledge, iManage allows organisations to adopt multiple AI tools while maintaining a consistent security and governance model. This architecture supports agentic AI platforms where different agents and models can interact with the same trusted knowledge fabric. For enterprises, it underscores that effective agentic AI depends less on any single model and more on secure, connected knowledge and context that all agents can safely utilise.
Reducing Friction in Everyday Knowledge Work
Beyond back-end governance and context infrastructure, iManage is refreshing the day-to-day experience of knowledge work to make AI assistance feel native. New user experience and interface improvements, shaped in collaboration with customers, aim to streamline how professionals search, review, and collaborate on content. Collaboration Links enables secure external sharing via simple links, integrating Microsoft 365 co-authoring so clients and external parties can view and edit documents without leaving governed workflows. This keeps work product inside iManage’s governed perimeter while reducing collaboration friction. Combined with AI features like playbook analysis in Ask iManage, which helps legal teams consistently apply institutional knowledge to contract review, these updates demonstrate how AI-ready knowledge systems must blend usability with control. The result is a platform where human and AI agents operate over the same secure, contextual knowledge base, amplifying expertise without sacrificing governance.