iManage’s latest platform shift puts a spotlight on the layer most legal AI coverage still underrates: governed context.
At ConnectLive 2026, iManage described a platform built around a “context fabric,” AI-specific controls, agent monitoring, and MCP-based access to institutional knowledge. Strip away the branding, and the message is simple: the real legal AI infrastructure is not just the model. It is the system that controls what the model can safely reach.
Where this gets real
For law firms and in-house teams, a good demo is not enough. If AI cannot reach the right knowledge, respect permissions, preserve confidentiality boundaries, and leave a reviewable trail, it does not matter how polished the answer looks.
Governed context deserves more attention than the phrase usually gets. The harder questions in legal AI are usually about:
- knowledge access
- permissions
- monitoring
- auditability
- workflow control
What buyers should watch
iManage is trying to own that layer. That is a sensible strategy, but buyers should still test the claims carefully.
The real diligence questions are whether the controls are granular, whether agent activity is actually visible, and whether firms can connect multiple AI tools without losing control of client and matter boundaries.
The bigger shift
The legal AI market is moving away from “AI as a feature” and toward “AI as a workflow and knowledge infrastructure problem.”
That may sound less exciting than model hype. It is also where the durable power probably sits.
Practical guide: Legal AI Workflows: A Governance Checklist for Legal Teams