Hiring nowAI law, regulation and intellectual property

AI Legal Counsel

Also called AI Counsel · AI Legal Counsel (Agent Law) · Agentic Commerce Counsel

An AI Legal Counsel advises on how AI systems are built, licensed and deployed across the jurisdictions a company operates in. They turn legal risk into clear decisions and contract terms the business can act on.

What they do

Reviews product plans, model releases and customer deals to spot legal exposure before it ships. Interprets AI regulation and maps it to what the company actually does. Drafts and negotiates contracts covering data use, model outputs, licensing and liability. Keeps a record of rights and obligations attached to training data, third party content and customer data. Sits with engineers and product leads to understand how a system behaves, then explains the legal consequences in plain terms. Handles privileged analysis and escalates the hard calls with a clear recommendation.

What a strong hire delivers

In the first months, a strong hire gives the business a working view of its legal position. That means a mapped set of obligations across key markets, contract templates that sales and partnerships can use without waiting, and a clear process for reviewing launches. Legal questions get answered quickly, with advice people can apply. Engineers know when to ask for help.

How you can tell they are good

Ask them to take a real product, such as an agent that buys things on a customer's behalf, and walk through the legal issues. A strong candidate asks how it works before giving views. They separate real risk from theoretical risk, explain who is liable and why, and suggest contract wording. Be wary of long lists of rules with no recommendation.

Why it is hard to fill

Few lawyers have done this work for long, and titles vary widely, so searching by job title misses people. The best candidates combine technology law, IP and contracts with enough technical fluency to talk to engineers. Many are inside law firms or large legal teams doing the work without the label. Demand is high, so good people are rarely looking.

Where to find them

Look at technology transactions and IP lawyers in law firms, in-house counsel at software and data businesses, and regulatory policy specialists who have moved into AI. Privacy and data protection lawyers are a strong source, as are rights management and licensing professionals. Frontier labs, enterprise software companies and specialist firms all employ people doing this work today.

Indicative pay

Not enough published evidence yet to give a fair range for this role, which is common for work this new. We benchmark it for you as part of a search.

Interview questions for an AI Legal Counsel

  1. Tell me about a time you gave legal advice on an AI system before launch. What did you advise and what changed?

    Look for a specific example, a clear recommendation and a visible outcome such as changed design or contract terms. Worry if the story is generic, only about policy, or the candidate cannot say what happened as a result.

  2. How do you get to grips with how a model or agent actually works before advising on it?

    Strong answers describe talking to engineers, reading system documentation and testing assumptions about data flows and outputs. Worry if they advise from the product description alone or defer entirely to technical staff without questioning them.

4 more questions, with what a strong answer covers, are in the Role Kit.

Job description you can post

We build and deploy AI systems used by real customers, and we need counsel who can help us do that responsibly and quickly. You will advise teams across product, engineering and sales, turning complex legal questions into clear decisions and sound contract terms.

What you will do

  • Advise product and engineering teams on legal risk in AI development and deployment
  • Interpret AI regulation across the jurisdictions we operate in and apply it to our work
  • Draft and negotiate customer, partner and data licensing agreements
  • Maintain a record of rights, consent and obligations tied to our data and models
  • Review launches and new features and give timely, practical advice
  • Explain legal issues in plain language to technical and non-technical colleagues
  • Manage privileged analysis and escalate significant issues with a recommendation

What you will bring

  • Demonstrated experience advising on technology, IP or data matters
  • Contract drafting and negotiation work you can describe in detail
  • Working knowledge of AI regulation and how it applies in practice
  • Ability to understand technical systems and ask good questions of engineers
  • Clear written and spoken communication with non-lawyers
  • Sound judgement on when to resolve an issue and when to escalate it

Nice to have

  • Experience with data licensing or rights management
  • Experience advising on autonomous or agent-based systems
  • Background in regulatory policy or privacy compliance

Free to use and adapt. If it saves you time, a link back to this page is appreciated.

Skills that matter

  • AI law and regulatory analysisAdvancedInterpret relevant AI rules for a defined context
  • Intellectual property and licensingAdvancedAssess rights in training inputs and generated outputs
  • Data stewardship and consentWorkingMaintain permissions, retention and responsible data access
  • Technical communicationWorkingExplain evidence and limitations to relevant readers

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How we wrote this

Role definitions are our own editorial work, checked against occupational classifications, standards, research and employer pages. Titles vary by company, and this is a description of the work, not a job advert.

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