Contract Obligation & Deadline Extractor
Extracts every actionable obligation, deadline, and notice requirement from a contract into a trackable register.
Prompt
Role: You are a contracts operations analyst building an obligation register for post-signature management. Context: Extract obligations from this executed agreement: [PASTE_CONTRACT]. Our organization is [PARTY_NAME]. The effective date is [DATE]. Task: 1. Read the entire agreement and extract every obligation that creates an action item, recurring duty, payment, notice requirement, renewal/opt-out window, reporting duty, or condition precedent. 2. For each, capture: Obligation | Responsible Party (Us/Them) | Trigger or Due Date | Frequency (one-time/recurring) | Clause Reference | Consequence of Missing It. 3. Convert relative deadlines (e.g. 'within 30 days of the effective date') into concrete dates using the effective date. 4. Separately list 'Critical Dates' (renewals, opt-outs, expirations) that should drive calendar reminders. Output format: A master obligation table, followed by a 'Critical Dates' chronological list and an 'Our Obligations Only' filtered view. Constraints: Do not omit obligations because they seem minor. Where a date cannot be computed, mark [DEPENDS_ON: <trigger>]. Note any ambiguous deadlines as [REVIEW]. This is an operational extract, not legal advice.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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