Robert Ambrogi Blog
iManage used the opening of its annual ConnectLive user conference in Chicago earlier this week to introduce what it describes as the next evolution of its document- and knowledge-management platform, a redesign the company says is built to make institutional knowledge usable by AI systems while keeping governance and security controls in place.
The announcement is the first phase of what iManage characterizes as a broader, ongoing platform evolution, and it follows the company’s April preview, which promised a “significant platform evolution” but withheld specifics until the conference. The company did not announce general availability dates or pricing for the new capabilities in the release.
At the center of the redesign is what iManage calls a “context fabric” — an architectural layer the company says transforms an organization’s accumulated documents and activity into a “living, governed foundation” for AI agents.
“The fabric understands and reasons over content, relationships, and real-time activity across the organization and is continuously enriched by what people and agents are doing right now,” iManage says.
Governance and security are native to the platform rather than added on, iManage says, allowing organizations to deploy AI against their own knowledge securely and at scale.
Touting its momentum, iManage said it added 90 new customer logos in 2026 and expanded its cloud to 78% of its global customer base. It also cited usage among large law firms and corporations, saying that 83% of the top Global 100 firms, 40% of the Fortune 100, and 79% of the Am Law 100 now use the platform.
That momentum, iManage said, reflects a shift in the market from “AI experimentation to AI operationalization.” As organizations adopt AI tools and agents, the central question is no longer which model to choose, but whether the underlying knowledge those tools draw on is secure, permission-aware, and connected.
“Knowledge work is evolving faster than ever, and the value of AI depends on safely activating the knowledge, context, and expertise organizations already have,” said Neil Araujo, the company’s chief executive, in the release.
“iManage is helping organizations move from systems that simply store knowledge to a secure, governed foundation that actively surfaces it, connects it, and makes it usable for AI – contextually, responsibly, and at scale.”
The redesign spans several components, including a reworked user experience developed with customer input, AI-specific governance controls intended to manage how AI accesses knowledge across an organization, and integration with Anthropic’s Claude.
The company said the Claude integration would let organizations apply the AI assistant to institutional knowledge within iManage’s security environment rather than through standalone tools.
“This gives organizations a governed path to use Claude with the institutional knowledge already in iManage, without the need for bulk exports or custom integrations,” iManaage said.
Forthcoming Enhancements
At ConnectLive, the company also previewed a number of forthcoming enhancements to its platform, which it organized around three themes: making knowledge more accessible to people and AI, strengthening governance, and reducing friction in daily work.
On the first theme, iManage said its Model Context Protocol (MCP) Server, available for its Insight+ knowledge product, lets AI agents and large language models search and surface permission-aware context from an organization’s governed knowledge — including work product, matter context, precedent, and deal and litigation insights — while leaving existing security and access controls in place.
The company also previewed Insight+ Multi-Region Search, which it said gives global organizations a unified search experience across regions, and native optical character recognition (OCR) that makes scanned documents and image-based PDFs searchable and legible to AI within the platform.
On governance, iManage said its Security Policy Manager is evolving to support more granular client- and matter-level restrictions for AI use.
Its Threat Manager now surfaces AI agent activity in user activity reporting, the company said, giving security teams more visibility into what agents access, move and modify; iManage said it is sharing a roadmap for developing Threat Manager into a broader monitoring layer for agent behavior.
On reducing friction, iManage previewed Collaboration Links, a feature it said brings secure external sharing into the platform by letting teams share documents with clients and outside parties through a link, with governance and Microsoft 365 co-authoring built in.
The company said external collaborators can view and edit iManage documents without an iManage account.