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.
Anthropic's Legal Operations team builds the systems, workflows, and tools that let our legal team operate at the speed of the company. We've made significant investments in tooling and automation — and now the challenge is keeping that work coordinated, visible, and actually used.
As a Legal Operations Specialist, Tooling & Enablement, you'll sit at the intersection of three things: keeping our tooling work organized and moving, partnering with the team on getting tools into the legal team’s hands, and contributing directly to technical builds. The right balance across these will depend on what you bring — we're open to someone who leans toward the technical side and can think through solutions end-to-end, as well as someone who leans toward coordination and enablement with meaningful technical contribution.
What's non-negotiable: you need to be genuinely comfortable with technology, curious about AI, and able to hold your own in a technical conversation. Above all else, you want to solve hard problems with a human-centric approach that thoughtfully weaves together a technical solution.
Responsibilities
- Coordinate the legal team's AI tooling roadmap — maintaining visibility into what's in progress, tracking timelines across multiple concurrent workstreams, and communicating status to stakeholders
- Triage incoming tooling requests, assess complexity and scope, and route work appropriately — handling straightforward builds yourself and flagging those that need deeper technical review
- Build no-code and low-code solutions end-to-end: Claude.ai Projects, AppSheet apps, Slack workflows, and similar tools that solve real pain points without requiring deployment infrastructure
- Partner with the team on AI adoption efforts — contributing to training materials, documentation, and user guides as new tools ship
- Support the legal team onboarding process and maintain onboarding content as our tooling evolves
- Track adoption signals and surface patterns: what's being used, what isn't, and what that tells us about where to focus
You may be a good fit if you:
- Have at least 4–7 years of experience in legal operations, legal technology, or a technical operations role
- Are comfortable keeping multiple projects organized and visible simultaneously — you can track dependencies, flag risks early, and keep stakeholders informed without being asked
- Are comfortable building lightweight technical solutions — Claude Projects, no-code apps, Slack automations — and know how to scope what's appropriate for DIY versus what needs engineering input
- Have worked alongside teams building and shipping tools, and understand what it takes to get a new workflow actually adopted
- Lead with curiosity — you ask good questions, want to understand how things work, and are honest when you don't know something
- Bring empathy to the work: you understand that change is hard, especially for busy lawyers, and you meet people where they are rather than where you wish they were
- Are collaborative and low-ego — you'll flex into adjacent work as the team grows and don't protect scope at the expense of outcomes
- Have enough of a sense of humor to keep the work enjoyable, even when it's complex
Strong candidates may also have:
- Experience in legal operations at a law firm, in-house legal department, or legal technology company
- Hands-on experience with Claude, Claude Code, or MCP integrations
- A track record of building or contributing to training programs or onboarding processes in a technical environment
- Familiarity with change management in professional services environments, where skepticism about new tools is real and earned
- Experience with tools like AppSheet, Tines, Zapier, or similar no-code/low-code platforms
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco 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.
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
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.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. 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 think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. 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. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process