Discovery Operations Lead, Litigation & Regulatory

4 дн. назад

USALead

information governancelitigation supportdata retentiondata preservation

Lead discovery operations for litigation and regulatory support, managing electronically stored information and driving information governance maturation at .

Обязанности

'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 volume and complexity of our discovery and information governance obligations are growing rapidly.
We are looking for a Discovery Operations Lead to join our Litigation and Regulatory team and build out 's discovery operations from the ground up, support active matters, and help drive information governance maturation. This is a unique opportunity to own 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, discovery vendors, and cross-functional partners such as Security and IT to manage retention, preservation, collection, and production of electronically stored information (ESI) across active matters. Beyond matter-level support and programmatic development of discovery systems and processes, you will also help execute the development of 's broader inform
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 discovery and information governance program.
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
Partner with Security, IT, and product engineering to support 's data landscape, instrument new data sources for hold and collection, and ensure each ESI source has a governed retention, hold, and disposition path
Develop and operate the operational layer of 's information governance program: retention schedule execution, classification rollout, defensible disposition workflows, and data-inventory maintenance in close partnership with the Discovery Lead and information governance stakeholders
Build the program's measurement and reporting matter status, hold population, data volumes, vendor spend, cycle time, review quality and use it to drive decisions and demonstrate defensibility
Integrate AI and automation into the EDRM lifecycle: generative-AI-assisted review, advanced analytics, custom Relativity applications, and agentic workflow automation for intake, hold tracking, status reporting, and internal documentation
Support active litigation, government investigations, and regulatory inquiries as the operational counterpart on the matter team coordinating workstreams, managing vendor execution, and surfacing operational risk and cost trade-offs to counsel
Design and build internal tools to streamline and manage critical discovery workflows (legal holds, preservation, collection, ECA, and production), and develop dashboards that report on data management trends and cross-matter discovery status

Требования

Hands-on discovery experience across the full EDRM lifecycle, with demonstrated ownership of operations on complex matters in an in-house legal department, government agency, law firm, or vendor
A track record of founding or rebuilding discovery operations functions defining the operating model, selecting platforms and vendors, and writing the playbooks that make the work defensible at scale
Working knowledge of major discovery platforms ( uses RelativityOne), including administration, search and analytics, TAR / predictive coding workflows, custom application development, and AI workflows
Strong understanding of the Federal Rules on discovery and evidence, ESI preservation obligations, and proportionality, with the operational fluency to translate those obligations into workflows
Experience operating discovery across modern enterprise data sources Slack, Google Workspace, Microsoft 365, Box, mobile, and engineering systems and an understanding of how to bring novel data sources under preservation and collection
Experience designing and running discovery vendor programs, including evaluation, contracting, SLAs, pricing models, and performance management across multiple concurrent providers
Strong project management instincts and a track record of running multiple concurrent matters and programs under tight deadlines, with composure and precision
Demonstrated ability to communicate technical discovery and operational concepts clearly to attorneys, executives, engineers, and non-technical stakeholders

Будет плюсом

8+ 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
A collaborative, hands-on orientation, with integrity and genuine curiosity about building operational programs in a fast-moving environment
 
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.

Другое

’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.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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 recruiters only contact you
We believe that the highest-impact AI research will be big science. At 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 , including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
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.