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How to use explainable AI in regulated document review?

Use explainable AI in regulated document review by requiring source evidence, confidence, reviewer state, playbook rules, workflow history, and approved outputs.

Review with evidence

What does explainable AI mean for document review?

Explainable AI should show why an answer was produced and where it came from. In document workflows, that means source evidence, rule context, confidence, and review history.

An illustration of data being extracted from documents

Why do regulated teams need explainability?

Legal, credit, risk, procurement, and compliance teams need to defend decisions. They cannot rely on unsupported summaries when outputs affect reviews, approvals, records, or system updates.

an illustration of documents

How does TextMine make outputs easier to explain?

TextMine links extracted values to source documents, surfaces confidence and review status, applies Playbook logic, routes exceptions, and stores approved Records.

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

Example explainable workflow

An AI answer about a supplier obligation includes the source clause, extracted value, confidence, reviewer decision, workflow action, and final record update.

Source evidence
Document, page, snippet, clause
Confidence
Known uncertainty before action
Rule context
Playbook criteria and thresholds
Reviewer state
Pending, approved, rejected, escalated
Workflow history
Tasks, owners, approvals, actions
Record output
Approved value for reuse
Audit use
Explain the decision later
Source evidence
Document, page, snippet, clause
Confidence
Known uncertainty before action
Rule context
Playbook criteria and thresholds
Reviewer state
Pending, approved, rejected, escalated
Workflow history
Tasks, owners, approvals, actions
Record output
Approved value for reuse
Audit use
Explain the decision later

Example explainable workflow

An AI answer about a supplier obligation includes the source clause, extracted value, confidence, reviewer decision, workflow action, and final record update.

Source evidence
Document, page, snippet, clause
Confidence
Known uncertainty before action
Rule context
Playbook criteria and thresholds
Reviewer state
Pending, approved, rejected, escalated
Workflow history
Tasks, owners, approvals, actions
Record output
Approved value for reuse
Audit use
Explain the decision later
Source evidence
Document, page, snippet, clause
Confidence
Known uncertainty before action
Rule context
Playbook criteria and thresholds
Reviewer state
Pending, approved, rejected, escalated
Workflow history
Tasks, owners, approvals, actions
Record output
Approved value for reuse
Audit use
Explain the decision later

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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