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AI Prompts to Review a US Non-Compete Agreement (State Rules and FTC Context)

Learn how to use AI prompts to review US non-compete agreements. Understand state enforceability rules and recent FTC regulatory updates effectively.

At a glance

  • 5 prompts
  • 10 min read
Works best in ChatGPT Claude Gemini Google AI Mode Perplexity
Jump to a prompt 5
  1. State Law Fragmentations
  2. Critical Elements to Audit in a US Non-Compete Agreement
  3. Prompting for Ban & High-Protection States (California, Minnesota, Oklahoma, North Dakota)
  4. Prompting for Wage Threshold & Notice Requirement States (Washington, Illinois, Colorado, Massachusetts)
  5. Step-by-Step Workflow: How to Review Your Non-Compete with AI

Using targeted AI prompts for non-compete agreement US reviews allows employees, executives, and legal teams to rapidly extract restrictive clauses, spot enforceability red flags, and benchmark terms against current state laws and Federal Trade Commission (FTC) guidance. By feeding structured text into Large Language Models (LLMs) like ChatGPT, Claude, or Gemini, you can translate dense legal jargon into actionable negotiation points in seconds. However, because non-compete enforceability varies dramatically across state lines, utilizing precise, jurisdiction-aware AI prompts is essential to get accurate analysis.

A non-compete agreement is a legally binding contract that prevents an employee or contractor from working for a competitor or launching a competing business within a specified geographic area for a set duration. Whether you are reviewing an employment offer, preparing to exit a company, or updating employee handbooks, using AI for initial contract triage can save thousands of dollars in legal fees. Below is a comprehensive guide to analyzing US non-competes with AI, complete with copy-and-paste prompts tailored to federal and state legal frameworks.

Understanding the US Non-Compete Landscape: FTC and State Rules

To write effective AI prompts, you must understand the legal context that the AI needs to evaluate. The landscape governing US restrictive covenants has shifted dramatically in recent years, creating a complex patchwork of federal standards and state statutes.

The Federal Trade Commission (FTC) Regulatory Context

In April 2024, the Federal Trade Commission issued a final rule seeking to ban most non-compete clauses nationwide, classifying them as unfair methods of competition under Section 5 of the FTC Act. However, federal courts subsequently issued injunctions blocking the rule from taking effect nationwide. As a result, non-compete enforceability remains primarily dictated by state law, though the FTC continues to scrutinize non-compete abuse under existing antitrust authority.

State Law Fragmentations

Because federal blanket rules face ongoing litigation, state laws dictate the enforceability of your agreement. States generally fall into three categories:

  • Complete Bans: States like California, Minnesota, North Dakota, and Oklahoma prohibit post-employment non-competes almost entirely, regardless of income or job title. California law (including SB 699 and AB 1076) renders non-competes void regardless of where or when the contract was signed.
  • Wage Threshold States: States like Washington, Illinois, Colorado, Maryland, Oregon, Nevada, Virginia, and Washington D.C. permit non-competes only for workers earning above specific annual salary thresholds (e.g., over $100,000+ depending on state index adjustments).
  • Reasonableness & Reformation States: Many traditional jurisdictions (such as Texas, Florida, and Pennsylvania) enforce non-competes if they are “reasonable” in geographic scope, time, and business interest. Some allow courts to “blue-pencil” (rewrite) overly broad terms, while others strike down the entire agreement if one clause is invalid.

When prompting AI, you must explicitly instruct the model to cross-reference the contract terms against the governing state’s specific statutory limits.

You are a senior US legal editor specializing in employment law and restrictive covenants. Analyze the provided non-compete agreement clause under [INSERT STATE] law and FTC regulatory guidance. 

Provide your response in the following structured format:
1. Clause Summary: A 2-sentence plain-English summary of what this clause restricts.
2. Temporal & Geographic Scope Evaluation: Assess whether the duration and geographic boundaries are typically considered reasonable in [INSERT STATE].
3. Statutory & Threshold Risks: Check if this agreement violates any state-specific wage thresholds, notice requirements, or statutory bans (e.g., CA Business and Professions Code 16600, WA RCW 49.62, or IL Workplace Transparency Act).
4. FTC Enforcement Context: Note any potential issues under FTC Section 5 unfair competition guidelines.
5. Overall Enforceability Risk Rating: Assign a rating of Low, Medium, or High Risk with a brief justification.

Agreement Clause Text:
"[PASTE CLAUSE HERE]"

Critical Elements to Audit in a US Non-Compete Agreement

Before prompting an AI tool, isolate the core restrictive covenants within your document. A typical US employment contract contains several overlapping restraints. The AI must be prompted to break these down systematically:

  • Temporal Duration: How long does the restriction last? Restrictions exceeding 1 to 2 years face high judicial scrutiny in most states.
  • Geographic Scope: Does the restriction cover a specific city, radius, state, nation, or a blanket “global” restriction? Nationwide bans are rarely enforceable unless the employer operates globally and the employee is a high-level executive.
  • Definition of Competitive Activity: Is the definition narrowly focused on direct competitors, or does it broadly restrict working for any business in the same industry?
  • Consideration Requirements: Did you receive something of value (a job offer, monetary bonus, equity) specifically in exchange for signing the non-compete? Some states require independent consideration if signed after employment begins.
  • Governing Law and Forum Selection: Does the contract force a California resident to arbitrate under Delaware or Texas law? Many states outlaw out-of-state choice-of-law provisions for local employees.

Use the following prompt to extract and categorize these core legal elements automatically:

Act as an expert legal reviewer. Audit the attached contract text and construct a breakdown table identifying all restrictive covenants. 

For each identified restriction, extract:
- Type of Restriction (Non-Compete, Non-Solicitation of Customers, Non-Solicitation of Employees, Non-Disclosure)
- Duration (Months/Years post-employment)
- Geographic Reach (Specific miles/counties/states/global)
- Restricted Activities (Exact job functions prohibited)
- Governing Law & Venue (State listed in choice of law clause)

Identify any ambiguous phrases (such as "any competitor," "directly or indirectly," or "similar business") that render the scope overly broad.

Contract Text:
"[PASTE RESTRICTIVE COVENANT SECTION HERE]"

Because state laws differ drastically, generic prompts yield generic and dangerous answers. Tailor your AI prompts according to the jurisdiction specified in the agreement.

Prompting for Ban & High-Protection States (California, Minnesota, Oklahoma, North Dakota)

In states where non-competes are void by law, employers sometimes still insert them to deter employees who do not know their rights. Use this prompt to spot unlawful non-compete clauses:

Review this contract clause under California Business and Professions Code Section 16600 and SB 699 / AB 1076. 

Determine:
1. Is this non-compete clause void as a matter of law in California?
2. Does the agreement contain unlawful non-solicitation language that functions as an illegal restraint on trade?
3. What statutory notices or civil damages might apply if an employer requires a California employee to sign this clause?
4. Draft a formal letter or email requesting the employer remove this void clause prior to signature.

Clause Text:
"[PASTE CLAUSE HERE]"

Prompting for Wage Threshold & Notice Requirement States (Washington, Illinois, Colorado, Massachusetts)

If you live in a state that ties non-competes to income levels or mandates advance notice, use this prompt:

Evaluate this non-compete clause under [INSERT STATE, e.g., Washington state law RCW 49.62]. 

Input Data:
- Employee Job Title: [INSERT TITLE, e.g., Mid-Level Software Engineer]
- Base Salary / Total Compensation: $[INSERT SALARY]
- Date Notice Was Provided: [e.g., At time of job offer / 3 days after starting]

Tasks:
1. Compare the employee's compensation against the current state statutory earnings threshold required for a valid non-compete.
2. Verify if the employer complied with statutory advance-notice rules.
3. Check if garden leave or mandatory post-employment compensation is required by state law (e.g., Massachusetts Noncompetition Agreement Act).
4. Summarize whether this agreement is enforceable against this specific employee tier.

Step-by-Step Workflow: How to Review Your Non-Compete with AI

Follow this four-step engineering workflow when using generative AI to analyze non-compete agreements safely and efficiently.

  1. Anonymize the Document: Remove personal identifiable information (PII), such as company names, personal names, addresses, specific salary figures, and proprietary client lists before uploading text to an AI platform.
  2. Extract and Categorize Terms: Run an initial extraction prompt to isolate the non-compete, non-solicit, non-disclosure, and remedies clauses.
  3. Apply Jurisdictional Stress Testing: Prompt the AI using the exact state statutes where the employee performs work.
  4. Generate Balanced Counter-Proposals: Use the AI to convert aggressive non-compete restrictions into enforceable, fair non-solicitation or non-disclosure clauses.

When preparing to negotiate, use the following prompt to generate counter-proposal language that protects the employer’s business while safeguarding your right to work:

You are a corporate negotiations strategist and labor attorney. 

Review the overly restrictive non-compete clause below and provide three alternative negotiation drafts:
1. Conservative Revision: Keeps a narrow non-compete, but restricts it strictly to direct, named competitors, cuts the duration to 6 months, and limits the geographic scope to a 25-mile radius.
2. Modern Alternative (Non-Solicit Replacement): Completely strikes the non-compete and replaces it with a robust Non-Solicitation of Clients/Employees clause and a strong Non-Disclosure Agreement (NDA).
3. Executive Option (Garden Leave): Retains the non-compete term only if the employer pays 100% of base salary during the restricted period ("garden leave").

Include short, professional talking points I can send to HR to explain why these edits reflect modern legal standards and mutual protection.

Original Clause:
"[PASTE OVERLY BROAD CLAUSE HERE]"

Non-Compete State Law Comparison Matrix

The table below summarizes critical enforcement standards across key US jurisdictions to help you construct parameters for your AI queries.

State General Non-Compete Status Income/Salary Thresholds Judicial Modification (Blue-Penciling)
California Void / Unlawful N/A (Banned for all workers) No (Strict voiding policy)
Minnesota Void / Unlawful N/A (Banned post-July 2023) No (Strict voiding policy)
Washington Enforceable with restrictions Requires indexed high-earner threshold (~$120k+ for W-2) Limited (Can modify or strike)
Illinois Enforceable with restrictions Minimum $75,000/year base income Discretionary (Courts hesitate to rewrite)
Texas Enforceable No specific wage threshold Mandatory (Courts must reform broad terms)
Florida Highly Enforceable No specific wage threshold Mandatory (Statutory presumption favors employer)

While artificial intelligence accelerates legal review, reliance on LLMs without human oversight carries distinct legal risks. Avoid these critical mistakes when reviewing restrictive covenants:

1. Uploading Confidential Information to Public Models
Standard commercial LLM interfaces may use user inputs to train future models unless you opt out. Never paste unredacted contracts, trade secrets, or personal identities into public AI prompts. Always strip out names, dollar amounts, and specific product lines.

2. Relying on Hallucinated State Code Citations
Generative AI tools can hallucinate statutory section numbers or quote overturned precedent. Always verify statutory citations (e.g., verifying whether a state’s salary threshold updated for the current calendar year) using official legislative portals or databases like Legal Information Institute (LII) at Cornell Law School.

3. Confusing Non-Competes with Non-Solicits
An AI model might evaluate a clause as a non-compete when it is legally a non-solicitation or non-disclosure agreement. Ensure your prompt explicitly directs the AI to differentiate between preventing an employee from accepting *any job* versus preventing them from *contacting specific former clients*.

4. Treating AI Output as Final Legal Advice
AI prompts serve as contract triage and preparation tools. They do not create an attorney-client relationship. Before taking legal action, breaching an existing agreement, or signing an executive covenant, consult a licensed employment attorney in your state.

Frequently Asked Questions

No. Generative AI tools provide information analysis, contract triage, and drafting assistance, but they cannot provide licensed legal representation or binding legal advice. Always have a qualified employment attorney review final agreements before signing or taking action.

Is the FTC non-compete ban currently in effect across the United States?

No. While the FTC attempted to issue a nationwide rule banning most non-compete clauses in 2024, federal courts issued nationwide preliminary injunctions blocking the rule’s implementation. Non-compete enforceability continues to be governed primarily by individual state laws and court decisions.

How do I write an AI prompt to check if my salary meets my state’s non-compete threshold?

Specify your exact state of employment, job classification (W-2 vs. 1099), total annualized compensation, and the date the agreement was signed within the prompt. Ask the AI to compare those numbers directly against that state’s codified statutory wage minimums for non-competes.

What is “blue-penciling” and how can an AI prompt analyze it?

“Blue-penciling” refers to a court’s authority to modify, rewrite, or cross out overly broad terms in a non-compete agreement to make it enforceable. You can prompt an AI to check whether your governing state permits judicial modification or enforces a “red-pencil” doctrine where an overly broad restriction invalidates the entire clause.

Conclusion

Prompting generative AI tools offers a fast, structured method for evaluating non-compete agreements in the US. By combining targeted legal prompts with explicit state-level details, employees and legal teams can quickly isolate unreasonable restrictions, benchmark clauses against state statutory limits, and generate balanced negotiation points. However, because restrictive covenant law evolves rapidly through courts and state legislatures, always use AI as a first-pass analysis tool and consult a licensed legal professional before making final decisions.

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