eDiscovery Lead

About Anthropic

Anthropics 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.

Anthropics legal team operates at the frontier of some of the most consequential legal and regulatory questions of our timefrom 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 eDiscovery and Information Governance obligations are growing rapidly.

We are looking for an eDiscovery Lead to join our Litigation and Regulatory team and build out Anthropics eDiscovery 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 eDiscovery 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 eDiscovery systems and processes you will also help shape the development of Anthropics broader information governance program including helping establish retention policies data classification standards and defensible disposal practices that keep pace with a rapidly scaling AI companys evolving data landscape.

The right person for this role will be equal parts technical operator and strategic thinkeryou will help write the playbook for a first in class eDiscovery and Information Governance program.

Responsibilities:

• Design and manage Anthropics end-to-end eDiscovery 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 eDiscovery 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 inquiriesserving as the day-to-day coordinator between our internal teams outside counsel and eDiscovery vendor
• Develop and maintain eDiscovery 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 eDiscovery law legal technology and AI advances in eDiscovery 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 Anthropics 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 eDiscovery experience in a law firm in-house legal department eDiscovery vendor or government agency with demonstrated ownership of matters across the EDRM lifecycle
• Working knowledge of at least one major eDiscovery platform (Anthropic currently uses RelativityOne) 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 eDiscovery 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 eDiscovery concepts clearly to attorneys executives and non-technical stakeholders
• Experience coordinating with outside counsel and eDiscovery 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 eDiscovery at a young and scaling company and/or in the context of new kinds of ESI
• Experience building eDiscovery programs or functions from scratchselecting 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.

Logistics

Education requirements: We require at least a Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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 aboutour policyfor using AI in our application process