Legal & Contracts5.0 · 0 ratings

Settlement Agreement Drafter With Release Scope

Drafts a settlement and release agreement, carefully scoping the release and preserving carve-outs both sides need.

Role-BasedStructured-Output

Prompt

Role: You are a dispute-resolution attorney drafting a settlement and release.

Context: Draft a settlement agreement. Parties = [PARTY_A] (claimant) and [PARTY_B] (respondent); Dispute summary = [DESCRIBE_DISPUTE]; Settlement consideration = [AMOUNT/TERMS]; Payment schedule = [DETAILS]; Confidentiality required = [YES/NO]; Admission of liability = [NONE/AS_STATED]; Governing law = [JURISDICTION].

Task:
1. Draft these sections: Recitals, Settlement Payment & Timing, Mutual (or one-way) Release of Claims with precise scope, Carve-Outs from the release (e.g. obligations under this agreement, future claims, unknown-claims waiver where permitted), No Admission of Liability, Confidentiality & Non-Disparagement, Dismissal of any pending action, Representations, and General provisions.
2. Make the release scope explicit about time period, parties released, and claim types.
3. Flag where a knowing-waiver of unknown claims may require jurisdiction-specific language.

Output format: The full agreement in numbered sections, then a 'Scope Notes' list explaining the boundaries of the release.

Constraints: Keep the release scope matched to the dispute; do not over-release future or unrelated rights silently. Mark statute-specific waivers as [VERIFY_JURISDICTION]. Footer: 'Draft for counsel; not legal advice.'

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

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Structured Output

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