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Commercial Legal Specialist, Technical AI Implementation

Anthropic San Francisco, CA | New York City, NYEst. Est. USD 140,000–180,000 / yearSenior

Estimated range based on role, country and industry — not published by the company.

Key requirements

  • Machine Learning
  • Llm
  • Data Science
  • Project Management
About Anthropic 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. About the role Join Anthropic's Commercial Legal team as a Technical AI implementation specialist, where you'll be responsible for leveraging Claude and other technologies to scale and increase efficiency of legal operations. You'll drive AI adoption across team workflows, optimize internal tooling, and lead cross-functional initiatives to enhance productivity. This role offers the unique opportunity to shape the future of legal operations through technology while working with Claude and other business critical systems. Key responsibilities Implement AI-powered solutions to streamline contract review and redlining processes Manage integrations between existing legal systems and AI tools Develop automated self-service solutions for high-volume, low-touch contracting processes, including FAQ chatbots and guided workflows Create AI-based tools for handling commercial contract diligence requests Optimize contract management platforms with AI capabilities Create and manage comprehensive program plans, including timelines, budgets, and resource allocation, to guide project execution Build and maintain metrics dashboards to track efficiency improvements Establish practical governance processes for AI use in legal operations Coordinate with Engineering and Product teams on solution development Identify and mitigate potential risks and issues that could affect program success, ensuring proactive problem-solving Minimum qualifications Experience evaluating and implementing legal technology platforms such as contract management systems, workflow management systems, or document management tools Show genuine curiosity about AI/ML applications and hands-on experience with LLM tools (especially Claude!) Possess excellent problem-solving skills and can translate legal business needs into scalable technical solutions Excel at cross-functional collaboration and can communicate effectively with both technical and legal stakeholders Self-directed and can manage multiple technical projects simultaneously Preferred qualifications At least 5 years of relevant experience in legal operations, legal technology, or technical roles supporting legal teams Technical aptitude with system integration knowledge Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excellent verbal and written communication, analytical, collaboration, and interpersonal skills Proven project management skills, including the ability to prioritize tasks, meet deadlines, manage multiple projects simultaneously, and deliver quality results Collaborative team player mindset with genuine interest in technology development and AI, thriving in fast-paced environments Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco 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. Annual Salary: $170,000 $220,000 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

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