Legal Tech Tools

iManage AI Features: Context Fabric & Agentic Work

iManage isn't just adding features; it's rearchitecting its platform. The big play? A 'context fabric' designed for the age of AI agents.

Screenshot of iManage platform interface showcasing new AI features.

Key Takeaways

  • iManage is pivoting to a 'context fabric' architecture for AI integration.
  • New features include MCP Server for connecting AI tools, Anthropic/Claude integration, and enhanced search capabilities.
  • Emphasis is placed on governance, security, and contextual data access for agentic AI work in legal environments.

Everyone expected iManage to do… more AI stuff. That’s the memo, right? Keep up or get left behind. But what everyone didn’t expect was a full-blown platform re-imagining, built around something they’re calling a ‘context fabric.’ This isn’t just another bolt-on feature; it’s an evolution of how legal organizations will access and use their accumulated knowledge. They’re moving beyond mere storage to something that actively surfaces, connects, and fuels AI. The implications for how legal work gets done are, frankly, massive.

Let’s get one thing straight. iManage’s CEO, Neil Araujo, isn’t just blowing smoke. He claims they’re shifting from systems that ‘simply store knowledge’ to a ‘secure, governed foundation that actively surfaces it, connects it, and makes it usable for AI.’ It’s a bold claim. But when you look at their customer numbers—90 new logos in 2026, 78% cloud adoption, 83% of the Top Global 100 firms on board—you have to pay attention. They’ve got the user base. Now they’re trying to give that base a reason to stick around and, more importantly, to use the platform for its intended, and now expanded, purpose.

The ‘Context Fabric’ Unpacked

The core of this announcement is the context fabric. It’s the undercurrent that ties all these new features together. Think of it as the intelligent layer that understands your firm’s data – documents, emails, matter history – and makes it accessible, responsibly, to AI. This is crucial. Because AI without context is just noise. And in law, noise can lead to some very expensive mistakes.

So, What Exactly Did They Announce?

Honestly, it’s a laundry list. But a significant one.

First, there’s the iManage Model Context Protocol (MCP) Server. This is the engine that lets you securely connect AI tools to your governed iManage knowledge. Without it, your fancy AI assistants would be flying blind. It’s the secure bridge.

Then there’s the expansion of Ask iManage, specifically with playbook analysis. This helps ensure that when lawyers are reviewing contracts, they’re using the firm’s collective wisdom, not just their own. Time to agreement gets faster. And crucially, the work stays within the iManage ecosystem. No more emailing sensitive documents around.

The big partnership news? iManage is now integrated with Anthropic and Claude. Yes, that Claude. Through the MCP Server, Claude can now tap into your iManage data. This means contextual answers, permission-bound access, and auditable trails. It’s a big deal for firms looking for ‘AI freedom of choice’ without sacrificing governance. This move signals a serious intent to play ball with the big AI model players.

iManage Insight+ Multi-Region Search is another piece of the puzzle. Global firms struggle with data silos. This feature unifies search across multiple regions, ensuring you can find what you need, no matter where it’s stored. Combine that with MCP, and you’ve got AI that understands global context.

And for all those dusty scanned documents? iManage native OCR makes them searchable and legible to AI. If your knowledge is locked away in image files, it’s effectively invisible. This unlocks that latent value.

iManage Security Policy Manager is evolving to handle AI governance. They’re talking about granular client- and matter-level restrictions for AI use. This is where the rubber meets the road for ethical AI in law. It’s not just about using AI; it’s about using it correctly and safely.

iManage Threat Manager is getting a serious AI lens. It will now surface AI agent activity in user reports. Security teams need to know what these agents are doing. iManage is planning a comprehensive roadmap for monitoring AI agent behaviour. Good. We need that.

For records managers, iManage Disposition Manager is a new cloud-native app designed for modern workflows. It allows for intervention and automation when things go sideways.

iManage Records Manager also gets reporting performance boosts and real-time visibility into processing. Better performance, better insights.

Finally, iManage Collaboration Links brings secure external sharing into the platform. Share documents with clients via a link, with built-in governance and co-authoring. External parties can edit without needing an iManage account. This simplifies collaboration without compromising security.

My Take: Is This Just More Buzzwords?

Look, the legal tech world is awash in AI hype. Every company is slapping an ‘AI-powered’ sticker on its existing products. But iManage’s announcement feels different. The emphasis on a context fabric and agentic work suggests a strategic pivot, not just a feature refresh. They’re anticipating a future where AI isn’t just a chatbot answering questions but an active participant in legal workflows. This is the logical next step after digitizing documents: making those digitized documents intelligent and actionable for automated agents.

The real test, of course, will be execution. Can they deliver on this ambitious vision? Will the ‘context fabric’ be as smoothly and powerful as promised? Or will it become another layer of complexity? History shows us that deep platform shifts are never easy. But if they pull it off, they won’t just be updating their product; they’ll be setting a new standard for how legal knowledge management integrates with AI. It’s an audacious move, and frankly, a necessary one if they want to stay ahead.

iManage is helping organisations 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.

This isn’t just about compliance. It’s about efficiency. It’s about leveraging data that firms have been sitting on for years. The real disruption here isn’t the AI itself, but the infrastructure iManage is building to make that AI truly useful within the highly regulated confines of legal practice. If they can make their ‘context fabric’ work, the returns for firms will be substantial. If not, it’s just another expensive rebranding exercise.

The Future of Legal Knowledge Management?

This feels like a genuine attempt to build the rails for the next generation of legal AI tools. The focus on governance, security, and context is precisely what the legal industry needs. They’re not just building a better search engine; they’re building a foundation for intelligent agents to operate within a trusted environment. It’s ambitious. It’s necessary. And it might just work.



🧬 Related Insights

Frequently Asked Questions

What is the iManage context fabric?

The context fabric is iManage’s new approach to knowledge management. It aims to transform an organization’s accumulated knowledge into a governed foundation that AI agents can securely access and use. It’s about making data contextually relevant and actionable for AI.

Will these new iManage features replace lawyers?

No. The stated goal is to enhance lawyers’ capabilities by providing them with better access to governed knowledge and enabling AI to assist with tasks. The focus is on empowering legal professionals, not replacing them, by making AI usable within existing secure workflows.

How does iManage integrate with external AI like Claude?

Through the iManage Model Context Protocol (MCP) Server, external AI tools like Anthropic’s Claude can securely connect to governed iManage knowledge. This allows AI to access matter history, documents, and institutional context in a permission-bound and auditable manner.

Written by
Legal AI Beat Editorial Team

Curated insights, explainers, and analysis from the editorial team.

Frequently asked questions

What is the iManage context fabric?
The context fabric is iManage's new approach to knowledge management. It aims to transform an organization's accumulated knowledge into a governed foundation that AI agents can securely access and use. It's about making data contextually relevant and actionable for AI.
Will these new iManage features replace lawyers?
No. The stated goal is to enhance lawyers' capabilities by providing them with better access to governed knowledge and enabling AI to assist with tasks. The focus is on empowering legal professionals, not replacing them, by making AI usable within existing secure workflows.
How does iManage integrate with external AI like Claude?
Through the iManage Model Context Protocol (MCP) Server, external AI tools like Anthropic's Claude can securely connect to governed iManage knowledge. This allows AI to access matter history, documents, and institutional context in a permission-bound and auditable manner.

Worth sharing?

Get the best Legal Tech stories of the week in your inbox — no noise, no spam.

Originally reported by Artificial Lawyer

Stay in the loop

The week's most important stories from Legal AI Beat, delivered once a week.