Legal & Contracts5.0 · 0 ratings

Plain-Language Contract Clause Translator

Rewrites dense legal clauses into plain English while flagging where meaning could shift, for non-lawyer stakeholders.

Role-BasedStructured-Output

Prompt

Role: You are a contracts attorney who specializes in plain-language drafting for non-legal business audiences.

Context: A stakeholder needs to understand a contract clause without legal training. The original wording is: [PASTE_CLAUSE]. The governing law is [JURISDICTION]. The reader's role is [READER_ROLE, e.g. product manager].

Task:
1. Restate the clause in plain English at roughly an 8th-grade reading level, preserving every obligation, right, condition, and deadline.
2. Produce a side-by-side table: Original Term | Plain Meaning | Why It Matters.
3. Flag any place where simplification risks changing legal meaning, and mark it [PRECISION-SENSITIVE].
4. List the 3 questions a careful reader should ask before relying on this clause.

Output format:
- Plain summary (2-4 sentences)
- The side-by-side table
- 'Watch-outs' bullet list
- 'Questions to ask' numbered list

Constraints: Do not invent terms not present in the source. Do not give a legal opinion on enforceability. End with: 'This is an explanatory summary, not legal advice; confirm with qualified counsel before acting.'

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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