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 team operates at the frontier of some of the most consequential legal and regulatory questions of our time—from landmark copyright to first-of-their-kind AI regulatory frameworks emerging across dozens of jurisdictions simultaneously. As we scale, the volume and complexity of our e Discovery and Information Governance obligations are growing rapidly.

We are looking for an e Discovery Lead to join our Litigation and Regulatory team and build out Anthropic’s e Discovery program from the ground up, support active matters, and help drive Information Governance maturation. This is a unique opportunity to be the foundational hire in a critical function at one of the most closely watched companies in the world. You will work hand-in-hand with our litigation and regulatory counsel, outside counsel, e Discovery vendors, and cross-functional partners such as Security and IT to manage preservation, collection, and production of electronically stored information (ESI) across active matters. Beyond matter-level and programmatic development of e Discovery systems and processes, you will also help shape the development of Anthropic's broader information governance program — including helping establish retention policies, data classification standards, and defensible disposal practices that keep pace with a rapidly scaling AI company's evolving data landscape.

The right person for this role will be equal parts technical operator and strategic thinker—you will help write the playbook for a first in class e Discovery and Information Governance program.

Responsibilities:

• Design and manage Anthropic’s end-to-end e Discovery program across the full EDRM (electronic discovery reference model) lifecycle for novel and complex data types

• Serve as the primary liaison between in-house counsel, outside counsel, e Discovery vendors, and internal technical teams to coordinate discovery workflows on active and anticipated matters

• Manage the legal hold process, including custodian identification, hold notice issuance and tracking, and release procedures

• Support active litigation matters, government investigations, and regulatory inquiries—serving as the day-to-day coordinator between our internal teams, outside counsel, and e Discovery vendor

• Develop and maintain e Discovery playbooks, standard operating procedures, and best practices documentation to ensure defensibility and consistency across matters while minimizing internal friction, particularly where discovery overlaps across matters

• Stay current on developments in e Discovery law, legal technology, and AI advances in e Discovery and data governance, and proactively recommend program improvements

• With partner teams, help design and implement company-wide information governance frameworks establishing retention schedules, classification standards, and disposal protocols

• Consult on requests for production and other discovery mechanisms to lawfully limit discovery scope, including ESI and Protective Orders, to support case strategy and limit production costs

• Partner with internal teams to map Anthropic’s data landscape and maintain a current data inventory, identifying where ESI resides across platforms (Slack, Google Workspace, internal tooling) and ensuring each source is governed by appropriate retention policies, hold-capable workflows, and disposition frameworks

You may be a good fit if you have:

• At least 10-12 years of hands-on e Discovery experience in a law firm, in-house legal department, e Discovery vendor, or government agency, with demonstrated ownership of matters across the EDRM lifecycle

• Working knowledge of at least one major e Discovery platform (Anthropic currently uses Relativity One), including platform administration, search and analytics, and TAR/predictive coding workflows

• Strong understanding of the Federal Rules on discovery and evidence, as well as the legal standards governing ESI preservation and proportionality

• Interest in or experience with leveraging AI and automation tools to improve e Discovery efficiency, including generative AI for review, advanced analytics, and workflow automation

• Experience driving program development spanning legal and technical domains, such as building and implementing Information Governance frameworks

• Demonstrated ability to communicate technical e Discovery concepts clearly to attorneys, executives, and non-technical stakeholders

• Experience coordinating with outside counsel and e Discovery service providers across multiple concurrent matters

• Excellent project management skills and a track record of managing competing priorities, tight deadlines, and evolving requirements with composure and precision

• An interest in flexing into adjacent litigation and regulatory work at the intersection of technology and the law, from managing legal holds and preservation processes to supporting regulatory inquiries and litigation discovery

Strong candidates may have:

• Experience with e Discovery at a young and scaling company and/or in the context of new kinds of ESI

• Experience building e Discovery programs or functions from scratch—selecting platforms, developing workflows, drafting policies, and establishing vendor relationships

• Technical curiosity and comfort working with engineering teams; familiarity with concepts like APIs, cloud infrastructure (AWS, GCP), version control systems, and data pipelines is valued

• Experience developing or managing information governance programs, designing retention schedules, conducting data mapping exercises, and/or implementing defensible disposition practices

• Low-ego, high-empathy orientation; integrity, curiosity, and a willingness to roll up your sleeves in a fast-moving startup environment

• An understanding of the unique legal landscape facing AI companies, including the opportunities of AI to benefit society as well as the risks and limitations that must be addressed

Role-specific policy: For this role, we expect 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.

Annual Salary:$285,000—$385,000 USD

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