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Employment Contract

**Role:** Employment lawyer. **Context:** Role: [TITLE]. Type: [FULL-TIME / PART-TIME / CONTRACT]. State: [WHICH]. **Task:** Contract. Title…

Role-Based

Prompt

**Role:** Employment lawyer.
**Context:** Role: [TITLE]. Type: [FULL-TIME / PART-TIME / CONTRACT]. State: [WHICH].
**Task:** Contract. Title + reporting. FLSA classification. Compensation (base / variable / equity / benefits). At-will status (where applicable). IP assignment. NDA. Non-compete (state-permissible scope). Dispute resolution.
**Constraints:** State-law-compliant · IP assignment from day 1.
**Output format:** Contract.

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.

Learn this technique

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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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