Program Manager, eDiscovery and Legal Operations
Amazon is hiring a Program Manager, eDiscovery and Legal Operations in Seattle, United States. It pays $116k-$160k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions Generative AI, NLP and Tar among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Lead eDiscovery program delivery and drive the implementation of AI-powered tools and legal analytics within Amazon's Legal Operations team.
The Legal Operations team is data-driven and systems-oriented— we measure what matters, automate what we can, and build for scale. This role requires someone who can troubleshoot an eDiscovery escalation, run an AI pilot, negotiate a vendor SOW, and present results to VP-level stakeholders in the same week. You will operate with high autonomy in ambiguous environments, working across engineering, legal, and vendor teams to deliver without direct authority over resources. This role involves access to confidential legal information and requires a high level of professionalism, integrity, and discretion.
Key job responsibilities
- Program Ownership & Delivery: Own the eDiscovery Transformation Program end-to-end: define the roadmap, set milestones, manage cross-team dependencies, proactively identify risks, and drive resolution or escalation with appropriate judgment. Define success metrics for program initiatives and build reporting frameworks that give leadership visibility into matter health, vendor performance, and operational efficiency.
- Technology & Architecture: Define technical requirements and drive design reviews for vendor integrations, data pipelines, and system interoperability between eDiscovery platforms and internal tools. Collaborate with IT, Security, and Microsoft 365/Purview teams on legal hold automation, custodian data collection, and preservation workflows. Drive process automation by identifying opportunities to eliminate manual steps through scripting, API orchestration, or platform configuration.
- AI & Tool Strategy: Lead the evaluation, piloting, and procurement of AI-powered tools (TAR, generative AI, NLP classification) for document review and legal analytics—defining evaluation frameworks, success metrics, and defensibility standards, and building business cases that quantify ROI.
- Vendor & Standards: Own the vendor strategy: manage the preferred partner program, drive RFP processes, negotiate rate cards and SLAs, conduct performance reviews, and define quality standards for ESI processing, review, and production workflows.
- Stakeholder Alignment & Communication: Drive alignment across legal, engineering, and vendor stakeholders with competing priorities; author program narratives and business cases for senior leadership. Mentor team members and contribute to hiring, interview processes, and talent development within the organization.
A day in the life
Your morning might be a program review for a vendor API integration you're managing. By mid-morning you're configuring an AI pilot—tuning recall thresholds on a document review model. After lunch you're drafting a business case for a platform migration, pulling cost and throughput data into a narrative for senior leadership. Late afternoon, a legal hold workflow breaks and you're coordinating the fix across IT and compliance before a preservation deadline. No two days look the same—some weeks are technical delivery, others are vendor negotiations and program roadmaps. You connect the technical reality to the business outcome, and you own both.
About the team
Legal Operations enables Amazon Legal to operate with maximum efficiency, quality, and cost-effectiveness through world-class operational support and technology solutions. Our programs include:
- Outside Counsel Management: Building long-term relationships with outside counsel and preferred law firms, including pricing negotiations, budget management, value-added services utilization, diversity tracking, billing, onboarding, and conflict waiver reviews.
- eDiscovery: Providing technology-enabled discovery services leveraging AI and advanced analytics for litigation and investigation matters.
- Paralegal & Litigation Program Management: Delivering paralegal support and program management expertise to litigation teams.
- Legal Infrastructure: Supporting technology infrastructure, systems, and processes including knowledge management, communications, attorney licensing, records management, and CLE programs.
Basic qualifications
- 5+ years of program or project management experience
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership
- Experience using data and metrics to determine and drive improvements
- 5+ years of eDiscovery program management experience including end-to-end ownership
- Experience with eDiscovery platforms (Relativity, RelativityOne, Nuix, or equivalent) and the EDRM lifecycle
Preferred qualifications
- Experience communicating with customers, technical, regulatory, business teams, and management to collect requirements, describe product features, and technical designs
- Experience designing or managing system integrations, data pipelines, or platform migrations
- Experience building programs from scratch in ambiguous environments with minimal precedent
- Hands-on experience evaluating or deploying AI/ML tools in a legal or compliance context—TAR, predictive coding, NLP classification, or generative AI
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, SEATTLE - 115,600.00 - 160,000.00 USD annually
How we rate this
Program Manager, eDiscovery and Legal Operations at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where ediscovery was part of your work. What did you do?
- Tell me about a project where legal operations was part of your work. What did you do?
- Tell me about a project where vendor management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: NLP, Program Management, Ediscovery, Legal Operations, and Vendor Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new operations jobs (Works on AI ●●●○ or higher) by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Operations roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step