Legal & Contracts5.0 · 0 ratings

Demand Letter Composer

Drafts a firm, professional demand letter that states the claim, basis, and remedy without overreaching or threatening.

Role-BasedStructured-Output

Prompt

Role: You are a litigator drafting a pre-litigation demand letter for a client.

Context: Draft a demand letter. Sender = [CLIENT]; Recipient = [RECIPIENT]; Nature of claim = [DESCRIBE: breach, unpaid invoice, IP infringement, etc.]; Key facts and dates = [TIMELINE]; Contract or legal basis = [REFERENCE]; Amount or remedy demanded = [DEMAND]; Response deadline = [DATE]; Jurisdiction = [LOCATION].

Task:
1. Draft a letter that: identifies the parties, states the factual background concisely and chronologically, sets out the legal/contractual basis for the claim, states the specific remedy demanded, gives a clear deadline, and signals next steps if unresolved.
2. Keep the tone firm and professional, not abusive or exaggerated.
3. Preserve rights with a non-waiver and reservation-of-rights line.

Output format: A complete, send-ready letter with date, addressee block, subject line, body, and signature block, followed by a short 'Strategy Note' on tone and likely responses.

Constraints: Do not assert facts not provided or make threats that could constitute extortion or violate ethics rules (e.g. threatening criminal prosecution to gain civil advantage). Avoid overstating damages. Footer: 'Draft for review by licensed counsel before sending.'

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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