EmergingAI law, regulation and intellectual property

AI Contract and Liability Specialist

Also called AI Commercial Counsel

An AI Contract and Liability Specialist writes the terms that decide who is responsible when an AI-enabled service goes wrong. They protect the company by making obligations, remedies and change handling clear before a dispute starts.

What they do

The work starts with how the service behaves in practice. They talk to engineers and product teams about what the system does, where it fails and what customers rely on. Then they draft and negotiate terms that match: warranties, indemnities, limits of liability, service commitments, data and output rights. They build obligation matrices so each duty has a named owner. They review customer and supplier paper, flag risks in plain language, and set out who acts when an incident or a model change affects a customer.

What a strong hire delivers

In the first months, a strong hire gives the company contract terms it can actually stand behind and a clear view of where its risk sits. Expect a reusable set of positions for common negotiations, an obligation matrix with named owners, and an agreed route for incidents and changes. Sales cycles should slow less on legal review, and engineers should know what they have promised.

How you can tell they are good

Ask them to take a real or invented AI service and explain who should bear the loss when it produces a harmful output. A strong candidate asks how the system works before drafting anything. They separate what can be controlled from what cannot, and explain their reasoning in plain words. Ask for a clause they drafted and why. Be wary of generic boilerplate or answers that ignore technical facts.

Why it is hard to fill

The title barely exists yet, so the work often sits inside commercial counsel, privacy, procurement or compliance jobs. Candidates rarely call themselves this. Few lawyers have drafted for systems whose behaviour shifts with model updates, and few technologists can draft terms. Most hires are mixed backgrounds, so a search on job title alone misses many of the best people.

Where to find them

Look at commercial and technology lawyers in law firms and in-house teams, especially those who have worked on software, data or cloud agreements. Regulatory policy advisers, rights and licensing managers, and technology compliance leads are also good sources. Many sit in AI start-ups, model providers, enterprise software companies and legal technology businesses, often under a general counsel or commercial title.

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 Contract and Liability Specialist

  1. Tell us about a contract you drafted where liability depended on how a technical system behaved. How did you learn what you needed to know?

    A strong answer shows they went to engineers, read system documentation and turned behaviour into terms. They name specific clauses and trade-offs. Worry if they only describe template use or relied on assumptions about how the technology works.

  2. A customer wants unlimited liability for harmful model outputs. How do you respond?

    They should explore the actual risk, propose tiered caps, carve-outs, insurance or controls, and explain what they would trade. They should involve product and finance. Worry about flat refusal, or about conceding without understanding exposure.

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

Job description you can post

We build and sell AI-enabled services, and customers rely on them. We are hiring someone to write the terms that make responsibility clear. You will work with product, engineering and sales so that what we promise matches what the systems do, and so that everyone knows who acts when something changes or goes wrong.

What you will do

  • Draft and negotiate customer, supplier and partner agreements for AI-enabled services
  • Set clear positions on liability, warranties, indemnities and remedies
  • Build and maintain obligation matrices with named owners
  • Review upstream model and data terms and flag gaps in our commitments
  • Define how incidents and service changes are handled and communicated
  • Explain legal risk in plain language to technical and commercial colleagues
  • Track relevant AI law and regulation and reflect it in our terms

What you will bring

  • Drafted and negotiated technology, data or software agreements with real commercial stakes
  • Shown the ability to turn technical behaviour into contract terms
  • Working knowledge of intellectual property, licensing and data consent issues
  • Clear written and spoken communication with engineers and non-lawyers
  • Practical judgement on which risks to accept, trade or refuse
  • Experience applying regulatory requirements to contract terms

Nice to have

  • Experience handling a customer incident or dispute involving a technical service
  • Familiarity with rights catalogues or licensing management
  • Background in regulatory policy or technology 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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