The opportunity
Anthropic's legal team operates at the frontier of some of the most consequential legal and regulatory questions of our time — from landmark copyright matters to first-of-their-kind AI regulatory frameworks emerging across dozens of jurisdictions simultaneously. As we scale, the…
What you'll do
Design and operate discovery operations across the full EDRM lifecycle: (preservation, collection, processing, hosting, review, and production including for novel and AI-specific data types)
Own the operational design and execution of the legal hold program including: custodian identification workflows, hold issuance and tracking, periodic re-notification, custodian acknowledgments, and defensible release
Stand up and administer the discovery technology stack RelativityOne,: in-place preservation and collection tooling across Slack, Google Workspace, and internal systems, and supporting analytics and review platforms including configuration, access controls, templates, and reusable workspaces
Design and document standard operating procedures and playbooks that make: discovery work defensible, repeatable, and onboardable as the team scales
Operate the discovery vendor program selection, onboarding, statements of: work, pricing models, SLAs, performance reviews, and continuous improvement across review providers, ALSPs, forensic specialists, and platform vendors
Serve as a primary day-to-day point of contact between in-house counsel,: outside counsel, vendors, and internal technical teams; coordinate matter execution, status, and escalations
What they're looking for
- + years of hands-on discovery experience across the full EDRM lifecycle
- Experience standing up discovery operations at a young and/or fast-scaling: company, particularly in the context of new kinds of ESI
- Experience embedding with engineering or product teams to define discovery: and information governance requirements, prioritize roadmap, and ship hold-capable and collection-capable features into core enterprise tools
- Hands-on integration of generative AI and agentic workflows (e.g., Claude,: Claude Code, or similar) into operational discovery work project tracking, status reporting, internal documentation, custom tooling, and script maintenance
- Technical fluency working with engineering teams and modern infrastructure: APIs, cloud (AWS, GCP), data pipelines, and version control and comfort writing, reading, or maintaining small scripts where useful
- Experience operating information governance programs at scale including: retention scheduling, data classification, defensible disposition, and data mapping across heterogeneous enterprise data sources
- Experience managing significant discovery operating budgets and vendor: portfolios, including pricing strategy, cost recovery, and operational efficiency
- Experience with applying AI and automation to discovery operations, including: generative AI for review, agentic automation, and operational tooling for hold tracking, reporting, and documentation
