Data teams
Create structured document datasets that stay connected to evidence, ownership, and change history.
You need to anticipate all the possible expressions of a concept to find it across all your documents which is not scalable, 100% accurate or efficient.
E.g. a start date can be commencement date, expressed as a date e.g. 01/01/2024 and in multiple potential formats
Data driven and semantic search which is 100% automated using AI
The underlying concepts of a document are automatically extracted using Vault’s large language model technology.
This means that as you narrow down your search, filters are updated in real time so that you only see options which exist.

TextMine allows you to avoid unnecessary spend by keeping on top of contract renewals and breaks. Quickly remedy contract breaches.
Document data becomes more useful when teams can search it, trust it, and trace it back to the files it came from. TextMine helps organisations turn unstructured documents into governed records that can power reporting, operations, and downstream systems.
Create structured document datasets that stay connected to evidence, ownership, and change history.
Move from spreadsheet-based tracking to searchable records that reflect the latest reviewed document state.
Rely on governed outputs with clear provenance, reviewer context, and consistent field definitions.
Capture extracted facts in records that link back to the original document and page context.
Model parties, clauses, obligations, dates, and evidence as reusable business records.
Give teams a reliable layer for filtering, comparing, and reporting across document populations.
Connect reviewed document records into operational tools, warehouses, and reporting workflows.