Turn Insurance Policy Documents into Structured, Source-Verified Summaries
Why AI-powered policy summarization transforms insurance operations
Source-Grounded Extraction
Every extracted field (insured, coverage limit, exclusion clause, etc.) is linked to the exact sentence in your original policy document. Click any field to see the source context—critical for underwriting accuracy and compliance.
Structured Data Ready for Systems
Output is a clean JSON object with all standard policy fields: insured, policy period, coverage types, limits, deductibles, premiums, exclusions, endorsements, and key conditions. Directly import to policy administration or underwriting systems.
Automatic Field Mapping & Validation
AI identifies and normalizes policy data even from dense legal text—handling abbreviations, currency, and coverage terminology. Reduces manual data entry and eliminates interpretation errors.
How to generate a structured policy summary in 4 steps
1. Upload your policy document
Upload declarations pages, insurance binders, or full policy PDFs (OCR supported). You can also paste policy excerpts directly.
2. AI scans for policy data fields
Our AI detects insured name, policy number, effective dates, coverage types, limits, deductibles, premium amounts, exclusions, endorsements, and special conditions—using natural language understanding tailored to insurance policy language.
3. Review and verify each field
The generated JSON summary displays each field with a 'source' button. Click it to highlight the original sentence in your document—ensuring full traceability for underwriting and compliance.
4. Export and integrate
Export as JSON, CSV, or Excel. Directly integrate with policy management systems via API, or copy the structured summary into your workflow.
Built for accuracy, auditability, and speed in policy review
Extract from complex policy wordings
Handles dense legal language, multiple coverage parts, and varying policy formats. AI reliably extracts structured fields even from lengthy documents with cross-references.

Source verification at the field level
Each field—from coverage limit to exclusion clause—can be traced back to the original text. Disagree with an extraction? See the exact words that triggered it.

Interactive highlighting in source document
Click any field in the JSON summary and instantly jump to the corresponding segment in your policy document—perfect for audits, broker reviews, and client explanations.

Human-in-the-loop refinement
AI suggests fields, but you remain in control. Edit, add, or remove fields before finalizing the summary. Merge duplicate entries or correct misinterpreted data with ease.

AI Policy Summarizer vs Manual Policy Review
Manual Data Extraction
- • Hours of reading dense legal documents
- • Prone to missed or misread provisions
- • No traceability to source
- • Inconsistent interpretation across policies
Gentables AI Policy Summarizer
- ✓ Summary generated in minutes
- ✓ Captures every key provision accurately
- ✓ Source-grounded verification
- ✓ Standardized JSON ready for systems
Who benefits from AI-extracted policy summaries?
Underwriters & Risk Analysts
• Quickly assess policy terms and coverage
• Compare policies consistently
• Reduce manual reading time
Insurance Brokers & Agents
• Present clear policy summaries to clients
• Highlight key coverages and exclusions
• Improve transparency and trust
Compliance & Audit Teams
• Maintain audit trails of policy provisions
• Verify data accuracy against source documents
• Ensure regulatory adherence with traceable evidence



