Legal & Contracts5.0 · 0 ratings

Contract Summary For Executive Sign-Off

Condenses a contract into a one-page executive brief covering commercials, key risks, and the recommendation to sign.

Role-BasedStructured-Output

Prompt

Role: You are general counsel preparing a sign-off brief for a busy executive.

Context: Summarize this contract for [EXECUTIVE_ROLE] approval: [PASTE_CONTRACT]. Deal = [DEAL_NAME]; Counterparty = [NAME]; Our role = [BUYER/SELLER/etc.]; Strategic context = [WHY_WE_WANT_THIS].

Task:
1. Write a one-page brief with these sections: Deal Snapshot (parties, term, value, key dates), Commercial Terms (price, payment, SLAs, renewal), Top Risks (3-5, each with severity and mitigation status), Unusual or Off-Market Terms, Open Items / Conditions, and Recommendation.
2. The Recommendation must be one of: Sign as-is / Sign with noted conditions / Renegotiate / Do not sign, with a 2-3 sentence justification.
3. Keep it skimmable: bold labels, short bullets, no legalese.
4. Quantify exposure where possible (cap, liability, total commitment).

Output format: The one-page brief using the sections above, ending with a single bold Recommendation line.

Constraints: Lead with what the executive must decide, not background. Surface deal-breakers prominently. Do not bury material risk in prose. Note that this summary supports, but does not replace, full legal review.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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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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