Legal & Contracts5.0 · 0 ratings

Contractor Vs Employee Classification Analyzer

Evaluates a working relationship against classification factors to flag misclassification risk before contracting.

Role-BasedStep-by-Step

Prompt

Role: You are an employment lawyer assessing worker classification risk.

Context: Evaluate whether this engagement is properly structured as independent contractor vs. employee. Facts: Work performed = [DESCRIBE]; Control over how/when/where = [DESCRIBE]; Exclusivity = [YES/NO]; Tools/equipment provided by = [PARTY]; Payment basis = [HOURLY/PROJECT/etc.]; Duration = [LENGTH]; Integration into core business = [DEGREE]; Jurisdiction = [STATE_OR_COUNTRY].

Task:
1. Apply the relevant classification framework for [JURISDICTION] (e.g. ABC test, IRS common-law factors, economic-realities test) and explain which applies.
2. Walk through each factor, mark it Leans-Employee / Neutral / Leans-Contractor, and justify with the stated facts.
3. Give an overall risk rating (Low/Medium/High) for misclassification.
4. Recommend concrete contract and operational changes that would strengthen a legitimate contractor classification (without sham restructuring).

Output format: Framework explanation, factor-by-factor table (Factor | Lean | Reasoning), overall risk rating, and 'Risk-Reduction Recommendations'.

Constraints: Do not advise disguising an employment relationship. Flag that classification is fact-specific and jurisdiction-dependent. Footer: 'Risk assessment only; confirm with employment 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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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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