IP Counsel, Copyright
Provide expert copyright counsel to AI product, research, and litigation teams, advising on model outputs, training data, and emerging legal challenges. Requires JD, 10+ years copyright experience in tech/AI, and active U.S. bar membership.
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
Preferred Qualifications
- 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
- A passion for AI's potential while maintaining a realistic assessment of its risks, with a commitment to building ethical and trustworthy systems
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