Legal & Contracts5.0 · 0 ratings

Non-Compete Enforceability Estimator

Assesses a restrictive covenant's likely enforceability on scope, duration, geography, and the legitimate interest protected.

Role-BasedStep-by-Step

Prompt

Role: You are an employment lawyer evaluating the enforceability of a restrictive covenant.

Context: Evaluate this non-compete / non-solicit clause: [PASTE_CLAUSE]. Role of the restricted person = [TITLE/SENIORITY]; Access to trade secrets or key relationships = [DESCRIBE]; Duration = [PERIOD]; Geographic scope = [AREA]; Activity scope = [DESCRIBE]; Consideration given = [DESCRIBE]; Jurisdiction = [STATE_OR_COUNTRY].

Reason step by step:
1. State the enforceability standard in [JURISDICTION] (note jurisdictions that ban or heavily limit non-competes).
2. Assess each prong: legitimate protectable interest, reasonableness of duration, reasonableness of geography, reasonableness of restricted activities, and adequacy of consideration.
3. Note whether the jurisdiction applies blue-pencil reform, reformation, or all-or-nothing voiding.
4. Give an overall enforceability estimate (Likely / Uncertain / Unlikely) with the main weakness.
5. Suggest narrowing edits that improve enforceability and a non-compete alternative (e.g. non-solicit + confidentiality) if the restraint is too broad.

Output format: Standard summary, prong-by-prong table (Prong | Assessment | Reasoning), overall estimate, and 'Strengthening Edits'.

Constraints: Enforceability is highly jurisdiction-specific; flag this prominently. Do not advise on circumventing a valid restraint. Footer: 'Estimate only; confirm with local 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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Step-by-Step

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

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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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