Records

AI-native record management

Define the schema your business needs, then let TextMine infer record properties from Vault evidence, extracted data, and source-linked review signals.

Infer properties from Vault data

TextMine reads validated Vault evidence and extracted facts, then proposes property values for each record with confidence and provenance.

Use your own record schema

Define record types, required fields, match keys, and property types so the system creates business records in the shape your operations expect.

Review changes before they land

Route property updates, replacements, and gaps through review queues so teams approve AI-inferred records before activation.

Connect records to downstream systems

Keep durable, evidence-linked records ready for workflows, APIs, reporting, CRMs, ERPs, compliance systems, and enterprise agents.

Records in action

An AI-native records management system

TextMine creates durable business records from the evidence already extracted in Vault. Teams define the schema, and the system infers properties, relationships, gaps, and review updates from source-linked document data.

Schema-driven records

Infer records from Vault evidence

Load a user-defined schema and TextMine proposes records, property values, confidence, links, and gaps from extracted Vault data.

Review queue

Approve inferred property updates

Review proposed replacements, missing values, and changed properties before AI-inferred updates become active records.

User-defined schema

Shape the records around your process

Define record types, required fields, match keys, and property types so inferred records match the operational system they feed.

Records

Governed facts that survive the review

Create durable records from reviewed evidence, inferred properties, source links, confidence, and approval state.

Who relies on Records

Data office teams

Define schema-controlled facts that can be reused across reporting, analytics, and downstream systems.

Operations teams

Keep reviewed document outcomes consistent across queues, handoffs, dashboards, and exception workflows.

Systems teams

Sync governed facts into CRMs, ERPs, reporting layers, workflow tools, and agent contexts.

Where it fits

Schema definition

Model parties, obligations, identifiers, dates, renewal terms, owners, and review outcomes.

Property inference

Infer values from Vault evidence and extracted facts with confidence, source links, and gap detection.

Review queues

Send uncertain values, missing sources, and material changes to humans before records become operational.

System activation

Expose reviewed records to workflows, integrations, APIs, reporting, and enterprise agents.