AI Product Counsel Job Description

An AI Product Counsel is the lawyer embedded with the people who build artificial intelligence products. The counsel joins at the design stage: when a product manager writes the spec for a new chatbot, a document summarizer or an agent that takes actions inside a customer's account, the counsel reads it and asks what data goes in, what comes out, who owns it and what the company is promising users.

The work splits into four streams.

Product counseling. The core of the job is launch review. A team proposes a feature, and the counsel works out which rules touch it: privacy law if it processes personal data, copyright if it ingests or generates creative works, consumer protection if it makes claims to users, and AI-specific state statutes if it makes or shapes consequential decisions about people. The output is a set of requirements engineers can build to, such as a disclosure in the interface, a retention limit, an opt-out, an output filter or a human review step before an action runs.

Model and data terms. AI products are built on other people's models and other people's data. The counsel negotiates API and license agreements with model providers, reads open-weight model licenses for use restrictions, and checks the provenance of training and fine-tuning datasets. The outbound side of this stream is the company's own paper: terms of service, the acceptable use policy, enterprise order forms and the clauses that say whether customer prompts and files may be used to train models.

Intellectual property. Questions about who owns AI output, whether a generated image or block of code infringes someone else's work, and whether to offer customers an indemnity for output claims all land here. The counsel works with patent and trademark colleagues on protecting the company's own models and with marketing on how features are named and described.

Regulatory tracking. The counsel reads new state AI statutes, federal executive actions and agency guidance as they appear, decides which products each one reaches, and turns the answer into internal guidance that a product team can act on without a meeting.

Day to day, the closest partners are product managers, machine learning engineers, privacy and security staff, trust and safety teams, and the sales and partnerships people who need deals closed. The reporting line runs to a head of product legal, a deputy general counsel or the general counsel.

The role is distinct from two neighbors. An AI compliance officer runs a governance program: policies, system inventories, audits and controls measured against a framework. A legal technology specialist deploys AI tools inside a legal department to speed up the lawyers' own work. The AI Product Counsel does neither as a primary job. This person gives privileged legal advice on what the company builds and sells, drafts the contracts that carry that advice, and signs off on the risk.

Good counsel in this seat look for the version of a launch that can ship, then write the conditions in language an engineer can turn into a ticket.

The baseline is a law license. BLS says lawyers typically need a law degree and a state license, which usually requires passing a bar examination, and that most states and jurisdictions require lawyers to earn a Juris Doctor (J.D.) degree from an accredited law school. Because the counsel advises on live products, active bar admission in at least one state matters from the first day. BLS also notes that states may require lawyers to take continuing legal education to maintain licensure, and AI law is a natural place to spend those hours.

As a rough guide, people move into this seat after three to eight years of practice. Routes that prepare someone well:

• Technology transactions at a law firm, drafting SaaS, licensing and data agreements for software clients.
• Privacy practice, in-house or at a firm, which supplies the data mapping and notice drafting skills the job uses every week.
• Intellectual property counseling, especially copyright and open source license work.
• General product counsel roles at software companies, with AI features added to the portfolio over time.

Technical fluency is part of the job; a technical degree is not required. The counsel has to read a system design document, understand the difference between fine-tuning a model and retrieving documents at query time, know what a model card discloses, and ask where a dataset came from and what license it carries.

Familiarity with the NIST AI Risk Management Framework also helps. NIST released the framework on January 26, 2023, for voluntary use, and on July 26, 2024 released NIST-AI-600-1, a profile of the framework for generative AI. Product, security and governance staff work from documents like these, and counsel who know them can speak the same language in a launch review.

Credentials that signal depth, both awarded by the IAPP (International Association of Privacy Professionals):

• CIPP/US (Certified Information Privacy Professional/United States), covering US privacy law.
• AIGP (Artificial Intelligence Governance Professional), covering AI governance concepts and law.

Neither substitutes for bar admission, and neither is a legal requirement to practice.

Skills the job draws on daily:

• Writing short, decisive advice memos and launch sign-offs that a product manager can read in two minutes.
• Redlining under deal deadlines without losing the terms that matter most here: data use, model training rights, liability caps and indemnity.
• Translating a statute into a checklist an engineer can implement and test.
• Holding a position with a senior product leader when a launch needs changes, then helping find the version that can ship.
• Keeping clean records of advice, since a launch decision may be questioned by a regulator or in litigation years later.

Bring examples of real work to interviews: a set of terms you drafted, a launch playbook, or a privacy assessment process you built and ran.

BLS does not track AI product counsel as its own occupation; the title falls under lawyers. For that group, BLS projects employment to grow 5 percent from 2025 to 2035, faster than the average for all occupations, with about 28,700 openings a year on average over the decade. BLS counted 754,500 lawyers nationally in May 2025, and 10,510 of them in the Information sector (NAICS 51), the industry group whose pay this page uses.

What shapes this specific job is US AI law, which as of November 2026 is a mix of state statutes and federal pushback. Three states show what lands on the counsel's desk:

• Texas. HB 149, the Texas Responsible Artificial Intelligence Governance Act, carried a Jan. 1, 2026 effective date.
• California. Governor Newsom signed SB 53, the Transparency in Frontier Artificial Intelligence Act, on Sept. 29, 2025. It requires large frontier developers to publicly publish a framework on their websites describing how they have incorporated national and international standards, creates a way to report potential critical safety incidents to the state's Office of Emergency Services, and protects whistleblowers who disclose significant health and safety risks from frontier models.
• Colorado. The state's 2024 AI law, SB 24-205, had its implementation delayed until June 2026 in an August 2025 special session. Lawmakers then passed SB 26-189, signed into law in May 2026, which repeals and reenacts the AI provisions of the Colorado Consumer Protection Act as an automated decision-making technology law. Beginning Jan. 1, 2027, developers and deployers of AI systems must provide certain disclosures about that technology, and violations are a deceptive trade practice enforced by the attorney general.

Federal policy pulls the other way. Executive Order 14365, signed Dec. 11, 2025, set a policy of a "minimally burdensome national policy framework for AI." It directed the Attorney General to establish an AI Litigation Task Force whose sole responsibility is to challenge state AI laws inconsistent with that policy, and it called for a legislative recommendation for a uniform federal framework that preempts conflicting state laws. For a product lawyer, that means building compliance plans for state rules that may be challenged, amended or replaced, and keeping the plan easy to change.

Copyright is unsettled as well. The US Copyright Office released a pre-publication version of Part 3 of its AI report, on generative AI training, on May 9, 2025, and as of November 2026 its AI page still lists Part 3 as pre-publication. The report says the Office expects that some uses of copyrighted works for generative AI training will qualify as fair use, and some will not. A product lawyer turns that kind of answer into dataset-by-dataset judgment calls.

Advancement runs from AI product counsel to senior or lead counsel, then head of product legal, deputy general counsel and general counsel. Other paths lead to public policy roles at AI companies or back to private practice in technology transactions. Pairing privacy, IP and contract skills lets one lawyer cover every stream of this job, which makes the pairing worth building early in a career.

Dear Hiring Team,

I am applying for the AI Product Counsel role on your legal team. For the past five years I have advised software companies on technology transactions and privacy, first at a law firm and for the last two years in-house at a mid-sized SaaS company, where I became the lawyer our machine learning team called before a launch rather than after one.

In that seat I built the legal review process for our first generative AI features: a meeting-notes summarizer and an assistant that drafts customer support replies. I wrote the intake form engineers fill out before a design review, so I see the data flows, the model provider and the retention settings up front. I negotiated our agreement with our model provider, including the clause that bars the provider from training on our customers' data, and rewrote our terms of service and acceptable use policy to cover prompts, outputs and ownership.

The work I am proudest of is less visible. I turned a long privacy memo into a one-page checklist that product managers now use on their own, and I meet with the engineering leads every two weeks so new statutes reach them as tickets instead of surprises. When a sales team wanted to promise customers an indemnity for AI output, I worked with finance to scope one we could stand behind.

I hold an active bar license in California and the CIPP/US certification, and I am studying for the AIGP. Your product moves fast, and I want to be the lawyer who helps it move fast safely.

Thank you for your consideration. I would welcome the chance to walk through a launch review with your team.

Sincerely, Jordan Reyes