Document type
Contract Intelligence
Transform contract review with AI that identifies clauses, obligations, and risks across your entire portfolio.
At a glance
Analyze and extract key provisions from legal agreements including NDAs, MSAs, and commercial contracts. OdysseyGPT handles legal contracts with citation-backed extraction, workflow-ready outputs, and review paths for low-confidence cases.
Key Takeaways
- Common extraction targets include Parties and signatories, Effective dates and terms, Payment terms and amounts.
- Automatically identify and categorize standard and non-standard clauses across any contract type.
- Review hundreds of contracts in data rooms to identify material issues.
Common fields
- Parties and signatories
- Effective dates and terms
- Payment terms and amounts
- Termination clauses
- Liability and indemnification
- Governing law and jurisdiction
Processing capabilities
- Clause Identification: Automatically identify and categorize standard and non-standard clauses across any contract type.
- Obligation Extraction: Extract all parties' obligations with due dates, conditions, and dependencies.
- Risk Flagging: Identify unusual terms, missing protections, and deviations from standard language.
- Party Recognition: Extract and normalize party names, roles, and contact information.
- Date Parsing: Identify all dates including effective dates, milestones, renewal dates, and deadlines.
- Cross-Reference Analysis: Track defined terms and cross-references throughout the document.
Questions answered
What should teams extract from legal contracts?
Start with Parties and signatories, Effective dates and terms, Payment terms and amounts, Termination clauses, then expand into workflow-specific fields as your downstream systems require more structure.
What are the common risks when automating legal contracts?
Automatically identify and categorize standard and non-standard clauses across any contract type. Extract all parties' obligations with due dates, conditions, and dependencies.
What is the recommended automation flow?
Ingest the document, extract the fields that matter, route low-confidence outputs for human review, and publish the validated output into the target workflow or system of record.