IP Counsel, Copyright

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

We are seeking an experienced IP Counsel to join our IP legal team with a focus on copyright. In this role, you will work cross-functionally with our AI product development and research teams and in-house legal team members across product, research, and litigation to navigate emerging copyright challenges unique to frontier AI systems. You will tackle novel legal questions around model outputs, product features, and AI training data, and help establish copyright frameworks that will shape the future of AI development and deployment. You will also advance Anthropic's views on copyright and AI through external engagement, including policy papers and in-person engagements.

Key responsibilities

• Serve as an internal expert resource on copyright law for research, product, litigation, and policy stakeholders

• Advise in-house legal teams on a range of copyright issues across model and product development and litigation

• Provide day-to-day copyright guidance to product, engineering, and safety teams on features, launches, and content policies

• Monitor and translate US and international copyright developments to internal stakeholders

• Collaborate on evolving and implementing Anthropic's global strategy on copyright issues, including monitoring, researching, and advising on emerging developments

• Help shape public positions and create advocacy materials on copyright issues

• Collaborate with fellow IP counsel and other in-house legal teams and outside counsel on litigation and monitor copyright developments involving other organizations

• Engage with academics, industry groups, and other stakeholders to develop norms and best practices around copyright and AI

Minimum qualifications

• JD and active membership in at least one U.S. state bar (California preferred)

• Expertise in U.S. copyright law and its application to emerging technologies, with working knowledge of international copyright frameworks

• A creative problem-solving approach, with the ability to translate complex legal concepts for technical teams and develop practical solutions in uncharted legal territory

• A track record of thriving in fast-paced environments, wearing multiple hats while balancing innovation with responsible risk management

• Exceptional communication skills with a track record of cross-functional collaboration, particularly with technical and policy stakeholders

• At least 10 years of relevant legal experience advising on copyright issues for technology companies or AI/ML products (in-house experience preferred)

• Demonstrated experience advising in-house teams on machine learning development lifecycles, AI products, and the unique copyright challenges they present

Role-specific policy: For this role, we expect staff to be able to work from our San Francisco, Seattle, Washington D.C., or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

• A passion for AI's potential while maintaining a realistic assessment of its risks, with a commitment to building ethical and trustworthy systems

$320,000—$385,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.