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Jobs / Legal Document Reviewer in United States of America
1 month ago
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Davispolk·1 month ago
1 month ago

Senior AI Enablement Analyst, eDiscovery

New York, United States of AmericaMid · 5-8 yearsLegal Document Reviewer

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Must-have skills for this role

  • artificial intelligence
  • generative ai
  • ediscovery
  • relativity

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About this role

Davis Polk & Wardwell LLP (including its associated entities) is an elite global law firm with world-class practices across the board. Clients know they can rely on Davis Polk for their most challenging legal and business matters. From offices in the world's key financial centers and political capitals, our more than 1,000 lawyers collaborate seamlessly to deliver exceptional service, sophisticated advice and creative, practical solutions. Visit davispolk.com.

Position Summary

The eDiscovery AI Enablement Analyst will serve as a bridge between AI technology deployed at the firm (and through eDiscovery vendors) and the litigation practice group, playing a critical role in identifying, developing and deploying AI-driven solutions to common eDiscovery and litigation challenges. In this role you design and implement workflows, drive AI adoption among litigation attorneys, track results and help continuously evolve the department’s AI capabilities.  This role requires a mix of technical fluency in eDiscovery platforms and AI tools, strong client-service orientation, project management skills and the ability to map emerging AI capabilities to practical litigation needs.

Essential Duties and Responsibilities

Typical responsibilities include, but are not limited to, the following:

  • Lead the eDiscovery department’s AI enablement and adoption workstreams, helping move initiatives from concept and pilot stages into practical, scalable solutions for litigation attorneys and business services personnel.

  • Serve as the primary point of contact for attorneys and business services personnel to identify, design and implement AI-driven solutions addressing eDiscovery and litigation challenges, coordinating testing and rollout of new features, integrations and processes, and corresponding with eDiscovery vendors on external solutions.

  • Develop and maintain deep subject matter expertise of eDiscovery AI-enabled tools, serving as a go-to resource and trusted authority on tool capabilities, configurations and best practices for litigation attorneys.

  • Track and analyze user feedback, adoption metrics and emerging AI use cases, translating insights into practical recommendations for tool configuration, workflow design, internal development priorities, training improvements and vendor discussions.

  • Stay current on emerging AI technologies relevant to eDiscovery and litigation, conduct testing and evaluation of new tools for functional viability and fit with firm needs, and drive implementation.

  • Develop and deliver training materials, reference guides, walkthroughs, best-practices, and other enablement sessions on the effective and responsible use of AI solutions in eDiscovery.

  • Partner with eDiscovery Project Managers, Knowledge & Innovation Attorneys, IT and external vendors on adoption strategies, use-case development and workflow design.

Qualifications/Position Requirements

  • Strong working knowledge of artificial intelligence and its applications in the legal industry, with a particular focus on generative AI, natural language processing and their use in eDiscovery and litigation workflows.

  • Demonstrated expertise with eDiscovery platforms and tools (e.g., Relativity, including Relativity aiR), document review workflows and litigation support technologies.

  • Strong project management and organizational skills, with the ability to work well under pressure, manage multiple workstreams, prioritize effectively and adapt quickly to shifting priorities.

  • Excellent written, verbal and presentation skills, including the ability to communicate technical concepts clearly to non-technical audiences such as partners, associates and senior leadership.

  • Excellent client service skills required, including the ability to build trust quickly, communicate clearly and professionally, respond promptly to attorney and client needs, and deliver a high-quality experience with sound judgment and attention to detail.

  • Demonstrated ability to gather, synthesize and translate user feedback, business needs and usage trends into practical recommendations, support resources and solution improvements.

  • Experience developing and delivering training, reference materials, best practices and other enablement resources for end users.

  • Ability to work independently and as part of a team, with a proactive, collaborative, adaptable and solution-oriented approach.

Education and/or Experience

  • Bachelor’s degree, preferably in data science, computer or information science. 

  • 5+ years of overall professional experience required, with at least 3 years in eDiscovery, litigation support, legal technology, knowledge management or a related field in a law firm or professional services environment.

  • Prior coursework or certifications in artificial intelligence, natural language processing, eDiscovery (e.g., Relativity Certified Administrator), project management (PMP) or change management are a significant plus.

Compensation

The expected base salary for this position ranges from $125,000 - $150,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, anticipated assignment, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. Davis Polk offers a competitive salary and comprehensive benefits package including, but not limited to, paid time off, medical, dental, vision care, 401(k) and substantial health club discounts.

Company

Davispolk
New York, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Davispolk's careers site·first seen 21 Aug 2026·last verified 8 Sept 2026·How we source jobs

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