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.
320k – 385k
Hybrid10+ YOELegal
About the role
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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