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How to apply semantic technology to document workflows?

Apply semantic technology to document workflows by turning clauses, obligations, policies, evidence, entities, and relationships into structured records teams can act on.

Apply semantic rules

What is semantic technology for documents?

Semantic technology helps systems understand meaning and relationships, not just text strings. In document workflows, that means connecting entities, obligations, clauses, policies, and evidence.

An illustration of data being extracted from documents

Why does meaning matter?

A contract clause may mention a date, party, obligation, exception, and condition. Teams need the meaning of those elements so workflows can route the right action.

an illustration of documents

How does TextMine use semantic structure?

TextMine extracts source-backed facts, organizes them into Records, applies Playbook logic, and activates workflows based on meaning, status, and evidence quality.

an illustration of vault extracting data from contracts and answering questions about them

Example semantic workflow

A subcontracting clause is classified as requiring consent, linked to data processing obligations, and routed to procurement and privacy reviewers before supplier onboarding.

Document meaning
Entities, clauses, obligations, conditions
Structured output
Records and relationship fields
Policy logic
Playbooks classify and route positions
Evidence quality
Source links and confidence
Workflow action
Approval, remediation, export, alert
System value
Data that downstream tools understand
Best fit
Complex review and regulated operations
Document meaning
Entities, clauses, obligations, conditions
Structured output
Records and relationship fields
Policy logic
Playbooks classify and route positions
Evidence quality
Source links and confidence
Workflow action
Approval, remediation, export, alert
System value
Data that downstream tools understand
Best fit
Complex review and regulated operations

Example semantic workflow

A subcontracting clause is classified as requiring consent, linked to data processing obligations, and routed to procurement and privacy reviewers before supplier onboarding.

Document meaning
Entities, clauses, obligations, conditions
Structured output
Records and relationship fields
Policy logic
Playbooks classify and route positions
Evidence quality
Source links and confidence
Workflow action
Approval, remediation, export, alert
System value
Data that downstream tools understand
Best fit
Complex review and regulated operations
Document meaning
Entities, clauses, obligations, conditions
Structured output
Records and relationship fields
Policy logic
Playbooks classify and route positions
Evidence quality
Source links and confidence
Workflow action
Approval, remediation, export, alert
System value
Data that downstream tools understand
Best fit
Complex review and regulated operations

Product map

Match each document job to the right TextMine surface

These guides can mention several products because enterprise document work rarely stops at extraction. Use this map to see how review, evidence, orchestration, records, rules, and system handoff fit together.

WorkbenchReview documents, compare files, ask questions, and produce source-aware outputs.VaultExtract document facts and keep every answer tied to source evidence and review state.WorkflowsRoute exceptions, approvals, evidence requests, remediation tasks, and handoffs.RecordsTurn approved findings into governed records for search, reporting, export, and sync.PlaybooksCodify policies, review criteria, templates, and acceptable positions.IntegrationsSend verified document context into agents, APIs, CRMs, ERPs, and compliance tools.

Map TextMine to your document workflow

Tell us what you are trying to review, extract, route, or report on. We will show which TextMine products fit your process, from Workbench and Vault through Workflows, Records, Playbooks, and Integrations.

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