Lesson 512 of 2244
Non-Compete Enforceability: AI-Assisted State-Law Mapping in a Rapidly Shifting Landscape
The FTC's attempted non-compete ban, state-by-state legislative changes, and shifting court decisions have made non-compete enforceability a moving target. LLMs can produce a current state-of-the-law summary in minutes — when paired with a primary-source check.
Adults & Professionals · AI for Legal Work · ~7 min read
The premise
Non-compete law has changed more in three years than in the prior thirty; AI accelerates the survey but cannot be trusted on the specifics.
What AI does well here
- Produce a comparative summary of non-compete enforceability across multiple states
- Flag states that have recently passed restrictions (CA, MN, NY pending, etc.)
- Generate redline alternatives — non-solicit, garden leave, customer non-solicit — when a non-compete won't hold
- Draft the explanatory cover memo to the client
What AI cannot do
- Provide current case law without verification (LLM training data lags)
- Replace primary-source legal research
- Predict how a specific judge will rule on a specific clause
Key terms in this lesson
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