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AI Regulatory Counsel

Policy and regulation, a senior role

What does AI Regulatory Counsel do?

Advises how laws, regulations, enforcement trends, contracts and legal duties apply to developing, buying, deploying and using AI, and helps leadership make defensible decisions under uncertainty.

What it decides: Which obligations bind, which are likely enforcement expectations, and the conditions for approving a use.

The competencies employers name

  • EU AI Act obligations and timelinescore, depth expected

    Classifies a system by role and risk tier, knows which obligations bind on which date after the Digital Omnibus, and what evidence conformity needs.

    24 graded topics teach this

  • US federal and state AI regulationcore, depth expected

    Tracks executive orders, OMB guidance, agency rules and the state patchwork, and knows which state laws reach hiring, insurance and consumer decisions.

    17 graded topics teach this

  • Privacy law applied to AIcore, depth expected

    Applies GDPR, CCPA and sector rules to training data, inference, automated decisions, lawful basis, individual rights and cross-border transfer.

    7 graded topics teach this

  • Contract terms that allocate AI riskcore, depth expected

    Turns controls into enforceable obligations: data use, change notice, audit rights, incident duties, subcontractors, IP, exit and deletion.

    4 graded topics teach this

  • AI in hiring and employment decisionsrequired, working knowledge

    Knows the rules on automated employment decisions, bias audits and notices, and treats hiring AI as the highest-risk use case it is.

    4 graded topics teach this

  • Regulatory change managementrequired, working knowledge

    Spots a regulatory change, decides applicability, assigns actions, updates controls and keeps the implementation evidence.

    7 graded topics teach this

  • AI risk and impact assessmentrequired, working knowledge

    Reviews purpose, data, affected people, accuracy, bias, security, oversight, vendors and law for a use case, scores likelihood and impact, and documents residual risk.

    14 graded topics teach this

  • Explainability, transparency and contestabilityrequired, working knowledge

    Decides what a person affected by an AI decision must be told, how an output can be explained, and how they can challenge it.

    11 graded topics teach this

  • How models work, at a governance depthrequired, working knowledge

    Explains training, tokens, context windows, embeddings, retrieval and fine-tuning well enough to ask an engineer a precise question and spot weak evidence.

    18 graded topics teach this

  • AI incident response and recoverypreferred, working knowledge

    Classifies AI incidents by severity, runs containment, preserves evidence, manages notification, and closes the loop with lessons learned.

    3 graded topics teach this

Where it is taught

Counted from the graded topics that teach this role's competencies. Your own path is shorter: it skips what you already cover.

Check your readiness for this role

Add what you already have (optional)
Signed in? Every topic you have passed already counts as proof.

Roles that feed into it

  • Privacy Counsel
  • Product Counsel
  • Technology Transactions Attorney
  • Employment Lawyer
  • Regulatory Enforcement Attorney

Where it leads

  • Director of AI Legal
  • Deputy General Counsel
  • General Counsel

Backgrounds that reach it fastest

What postings tend to name

Frameworks: EU AI Act, GDPR, State AI and privacy law.

Credentials often listed: Bar membership, AIGP, CIPP, CIPM. GAGE does not issue these and does not prepare for their exams; the record you earn here is your own graded evidence, which stands beside them.

Questions

Is AI regulatory counsel only about new AI statutes?
No. It integrates privacy, consumer protection, employment, discrimination, IP, product liability, cybersecurity, records, accessibility and sector regulation, and separates binding law from voluntary standards.
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