iManage links governed legal data to Gemini Enterprise
iManage links governed legal data to Gemini Enterprise
摘要: SaaS
Data Protection
Document Management
iManage links governed legal data to Gemini Enterprise
Sat, 29th Aug 2026 (Today)
JOSEPH GABRIEL LAGONSI
正文
Data Protection
Document Management
iManage links governed legal data to Gemini Enterprise
Sat, 29th Aug 2026 (Today)
JOSEPH GABRIEL LAGONSIN
News Editor
iManage has launched new artificial intelligence tools built on Google Cloud's Gemini Enterprise for Legal. The integration gives users access to governed knowledge held in iManage from within Google's legal AI environment.
The move links iManage's document and knowledge management system with Gemini Enterprise for Legal, allowing users to query matter files, precedent and internal expertise without leaving the Google Cloud workspace. It is aimed at legal teams, as well as users in financial services and life sciences, where sensitive records and access controls are central to daily work.
At the centre of the announcement is an effort to address a recurring problem in corporate AI projects: staff often rely on duplicated or exported data sets that sit outside normal governance rules. iManage said the integration is intended to avoid that by retrieving information directly under existing permissions rather than from static copies of documents and records.
That means the system can draw on matter, client and personnel data alongside unstructured content stored in iManage. Users can ask natural-language questions and receive responses based on current information that remains subject to the same controls and audit requirements already applied inside the platform.
For law firms and in-house legal departments, this could affect work such as reviewing deal documents, handling e-discovery and searching for precedent. It also reflects wider demand for AI systems that can work with confidential information without forcing organisations to loosen long-standing compliance processes.
Governance focus
iManage framed the release as part of a broader effort to position itself as a knowledge layer for AI tools its customers already use. Rather than asking clients to move sensitive content into a separate AI repos