Anthropic
Commercial Legal Specialist, Technical AI Implementation
$170K–$220K
San Francisco, CA +2 · Full-time · Posted Sep 22, 2026
- Location
- San Francisco, CA
New York City, NY
San Francisco, California, United States - Experience
- Years required correlate with internal job level; preferred qualification: at least 5 years of relevant experience.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; field relevant to the role as demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; the company says it will make every reasonable effort to obtain a visa if it makes an offer.
About the job
Implements AI-enabled legal operations solutions and integrations to improve commercial contracting workflows, productivity, and governance.
What you'll do
- Build AI tools and automated workflows for contract review, diligence, and high-volume contracting.
- Integrate and optimize legal systems and AI tools; coordinate solution development with Engineering and Product.
- Manage project plans, track efficiency metrics, and establish AI governance and risk-management processes.
What they ask for
- Experience evaluating and implementing legal technology platforms.
- Hands-on experience with LLM tools and genuine curiosity about AI/ML applications.
- Ability to translate legal business needs into scalable technical solutions.
- Strong cross-functional collaboration and communication with technical and legal stakeholders.
Nice to have
- At least 5 years of relevant experience in legal operations, legal technology, or technical roles supporting legal teams.
- System integration knowledge, familiarity with LLM frameworks and tools, or a background in machine learning or data science.
Pay
$170,000 — $220,000 USD annual base salary
Tools
Claude, LLM tools
AI focus
Applies AI/LLMs to legal operations, including contract review and redlining, self-service contracting, diligence, contract management, and workflow governance.
Model-written summary · the original posting is authoritative