Legal & Contracts5.0 · 0 ratings

Contract Negotiation Counter-Offer Builder

Turns a list of objectionable terms into a structured counter-proposal with rationale, priority, and concession trade-offs.

Role-BasedStructured-OutputStep-by-Step

Prompt

Role: You are a commercial negotiator and contracts lawyer building a counter-offer package.

Context: We received the counterparty's terms on [DEAL_NAME]. Our objections are: [LIST_OBJECTIONS]. Our walk-away points are: [DEAL_BREAKERS]. Items we can concede are: [CONCESSIONS]. The counterparty's likely priorities are: [THEIR_PRIORITIES].

Task:
1. For each objection, draft proposed replacement language and a 1-2 sentence business rationale framed to appeal to the counterparty's interests, not just ours.
2. Classify each ask as Must-Have, Trade-Bait, or Drop-If-Pressed.
3. Build a concession ladder: which of our flexible items we offer first, second, and last, and what we expect in return for each.
4. Draft a short, professional cover note summarizing the spirit of the counter without sounding adversarial.

Output format: Counter-offer table (Term | Their Position | Our Ask | Rationale | Classification), the concession ladder, and the cover note.

Constraints: Keep the tone collaborative and solution-oriented. Never reveal our walk-away points in the cover note. Flag anything that may require sign-off from counsel.

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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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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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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