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.
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
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
A passion for AI's potential while maintaining a realistic assessment of its risks, with a commitment to building ethical and trustworthy systems
Role-specific policy: 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.
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.
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
Location-based hybrid policy: 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.
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 view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Learn about our policy for using AI in our application process.
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.
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
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
A passion for AI's potential while maintaining a realistic assessment of its risks, with a commitment to building ethical and trustworthy systems
Role-specific policy: 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.
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.
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
Location-based hybrid policy: 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.
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 view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Learn about our policy for using AI in our application process.