iManage AI Enrichment uses AI to automatically classify documents by type, populating them with accurate, structured metadata. For legal agreements, it identifies the agreement’s specific sub-type (66 supported sub-classes), then extracts parties, governing law, jurisdiction, heading, and agreement date.
Built for organizations with large, unstructured document libraries, iManage AI Enrichment helps address poor findability. Poor findability has a downstream effect on AI tools such as Ask iManage, which depend on clean, well-defined metadata to return accurate results. iManage AI Enrichment delivers the following benefits:
Save time: iManage AI Enrichment removes the administrative burden of manual tagging, freeing attorneys and paralegals to focus on billable work.
Improve findability: Enriched metadata makes documents easier to locate through both traditional search and AI-powered queries.
Strengthen AI performance: Better-structured data means Ask iManage and other AI features return more accurate results.
Reduce operational overhead: iManage AI Enrichment eliminates the need for resource-intensive manual data-cleanup projects.
In this guide:
- Preface
- Overview
- How iManage AI Enrichment works
- How to know when iManage AI Enrichment is active
- How and why is enriched metadata updated?
- Description of the enriched metadata properties
- Working with enriched metadata properties
- Searching and filtering with enriched metadata
- Working with documents
- Troubleshooting
- FAQ