iManage enhances Insight+ to close the AI governance gap

iManage has announced updates to Insight+, its search and insights engine, aimed at strengthening contextual intelligence across centralised knowledge environments and tightening governance as organisations scale AI use.

The changes expand how organisations connect documents, business data and metadata across the iManage platform. The update adds enterprise-scale metadata indexing, deeper integration with external data sources and support for multi-region deployment.

iManage framed the release as a response to an "AI governance gap", arguing that organisations are adopting AI tools faster than they are putting in place the controls and data foundations needed for consistent, governed use.

Governance pressure

iManage cited its Knowledge Work Benchmark Report 2026, which it said shows a growing disconnect between AI adoption and readiness for knowledge governance. The research found that 36% of organisations have experienced document policy violations tied to AI usage.

The same dataset found that only two-thirds have centralised storage and formal governance controls in place. It also indicated that a quarter of employees use publicly available AI tools with limited oversight, which iManage linked to content fragmentation across AI assistants, chat histories and external databases.

The report also pointed to continued appetite for changes in document management. iManage said 72% of organisations surveyed were extremely or very likely to implement new document management solutions within two years. It added that many are piloting AI initiatives, while data quality issues and unclear use cases remain barriers.

What changes

Insight+ is a native search and insights engine within the iManage platform. The latest update focuses on adding more context to knowledge stores by indexing metadata at scale and connecting content with structured data held in other systems.

One element is enterprise-scale contextual integration, which enriches content with relevant metadata from external systems. iManage said the added context makes content easier to find and use by both people and AI agents.

The update also includes knowledge discovery and matter analytics. iManage said users can identify precedent across the document management system and knowledge collections using filtering features, and compare matters based on commercial terms and matter profile context to surface patterns and insights.

Another change is data warehouse integration, which unifies structured business data about matters, clients and personnel with unstructured content. iManage framed this as a way to keep governance centralised, rather than pushing content into multiple systems.

Multi-region deployment support is also included. iManage said this is designed to address data sovereignty and regulatory compliance requirements while maintaining centralised discoverability across an organisation. Content can remain in-region while users retain unified access to knowledge.

iManage also outlined an expertise discovery feature that remains in development. The planned functionality would surface expert knowledge based on demonstrated work product and matter involvement.

Context and connectivity

Insight+ connects knowledge content with matter, client and people context from external business systems. iManage said this can increase reuse and analytics while reducing the need to extract and store content in external systems where governance controls may not apply.

It also linked the update to broader platform connectivity initiatives, including Model Context Protocol, with the aim of keeping content accessed across AI ecosystems contextually rich, structured and governed.

The release comes as legal and professional services firms assess how generative AI tools fit with confidentiality obligations and client requirements. Many have restricted the use of public AI services while experimenting with internal tools for drafting, research and knowledge retrieval.

iManage said customer adoption of Insight+ reflects growing recognition that data integration underpins contextual intelligence. It said organisations use Insight+ to connect content with business data and surface patterns across matters, while maintaining governance controls expected in professional services.

Neil Araujo, CEO of iManage, said the challenge is data and governance rather than access to AI tools.

"Organisations aren't struggling to access AI - they're struggling to ensure AI can interpret their knowledge correctly," said Neil Araujo, CEO, iManage. "Insight+ addresses this by strengthening the context and connectivity of content already centralised within the iManage platform, enabling firms to improve knowledge quality, strengthen discovery, and deliver more reliable AI outcomes without compromising governance."

iManage plans to showcase the enhancements at Legalweek and the British Legal Technology Forum 2026.