contract obligation evidence mapper

The problem

Manual contract review is slow and prone to human error, often leading to missed deadlines or misunderstood obligations. It is difficult to track which clauses trigger specific actions without constant cross-referencing.

What it does

• Extracts specific obligations, identifying the responsible party, action, and deadline.
• Maps every finding to a specific clause or section number for direct verification.
• Categorizes information by confidence level, distinguishing explicit text from inferences.
• Identifies missing terms, such as absent termination clauses or undefined payment schedules.
• Flags ambiguous language and conflicting terms that present legal or operational risks.

Why this beats prompting it yourself

General prompts often hallucinate terms or miss subtle conditions buried in legalese. This skill enforces a strict evidence-based mapping that prevents the AI from inventing details and ensures every claim is backed by a specific source reference.

Use cases

• Reviewing vendor agreements to build a master calendar of performance deadlines.
• Auditing legacy contracts for missing liability or termination clauses.
• Due diligence preparation by identifying contradictory terms across multiple sections.

Known limitations

Does not provide legal advice or professional legal opinions. Requires the user to provide the contract text or a clear excerpt for analysis.