1. Detect document type
Contracts, policies, reports, tickets, and notes are classified for downstream workflows.
Auto-classify, tag, and enrich content with context—so knowledge is organized the way your organization works.
Raw ingestion without taxonomy creates another junk drawer. Structure turns captures into collections, topics, entities, and relationships people can navigate.
Unphepha combines rules, ML classifiers, and human-in-the-loop review so structure improves over time.
Contracts, policies, reports, tickets, and notes are classified for downstream workflows.
Titles, parties, effective dates, owners, and topics are pulled into structured fields.
Content lands in Finance, Legal, HR, or custom team collections based on rules you define.
As users correct tags or pin preferred versions, models and rules get sharper.
Once content is organized, every other product surface becomes more accurate and useful.
Filters and facets help users narrow millions of objects to the few that matter.
Chat and summaries are grounded in the right subset of content, not the entire corpus.
Sensitivity labels and retention map cleanly onto structured classes of data.
Standard document types plug into automations the same way every time.
How teams usually configure Structure in the first 30 days.
Yes. Import department taxonomies, records classes, or matter codes and map them to Unphepha collections.
Users and admins can correct labels; corrections become training and rule signals.
No. Structure complements source systems by adding a searchable knowledge layer on top.