Senior eDiscovery Analyst

Overview

This role is part of the Litigation Department and supports case teams and client representatives with electronic discovery (eDiscovery) matters. The position is remote-first, with no expectation of a regular in-office presence.

Location/Time Zone: Focused on candidates in GA, TX, MA, IL, DE, MN, NY, and DC, with a requirement to work Eastern time zone hours.

Responsibilities

• Consult case teams and client representatives on best practices for the preservation, collection, processing, analysis, review, and production of ESI.
• Use software tools (e.g., Relativity Analytics and Active Learning / continuous active learning (CAL)) to reduce the size of potentially relevant data sets.
• Work with case teams, client representatives, and vendors to design and implement defensible plans for preserving, collecting, processing, reviewing, and producing ESI.
• Develop and maintain documentation for ESI analysis and document review plans, including:
  • reviewer statistics
  • responsiveness metrics
  • error logs
• Accurately maintain and support the eDiscovery applications used by the firm.
• Design and create databases containing discovery data and other ESI.
• Process and troubleshoot ESI; manipulate and load data.
• Update, organize, and maintain logs, reports, and other project management materials.
• Research and troubleshoot a variety of electronic discovery issues and recommend technical solutions.
• Research and stay current on relevant software and technology solutions to support effective client work.
• Maintain advanced technical and professional knowledge through training, vendor meetings, seminars, vendor materials, documentation, self-study, internal/external user group meetings, industry networking, and professional journals.
• Design, execute, and validate AI-assisted review workflows using the Relativity aiR suite, including:
  • aiR for Review
  • aiR for Privilege
  • (where applicable) aiR for Case Strategy and aiR for Data Breach Response
  • Draft and iterate natural-language prompts/issue descriptions
  • Sample and quality-check model output
  • Document a defensible validation protocol
• Serve as a subject-matter resource for generative AI and analytics tools by mentoring analysts and advising case teams on appropriate use, limitations, and defensibility of AI-assisted review.
• Process and review data from cloud and collaboration sources, including:
  • Microsoft 365 / Purview
  • Google Workspace
  • Slack
  • Microsoft Teams

Requirements

• Minimum of 5 years’ experience across litigation, investigations, and regulatory matters, with significant working knowledge of document review technologies (e.g., RelativityOne, Active Learning/technology-assisted review, and generative AI review tools).
• Relativity Certified Administrator certification is required for the Senior level.
• Ability to meet the billable goal of 1400 hours per year.
• Ability to work Eastern time zone hours is required.
• Strong customer service and interpersonal communication skills, with excellent written and oral communication.
• Professional demeanor and exacting attention to detail; ability to prioritize and perform effectively under pressure, including responsiveness to inquiries.
• Must be able to manage stress in a fast-paced environment and handle multiple tasks daily.
• Knowledge of SQL databases, Python and/or PowerShell, Excel, regular expressions, and other tools/skills useful for data manipulation is preferred.

Preferred Qualifications

• Relativity Analytics Specialist and Relativity Processing Specialist certifications.
• Relativity aiR and other AI-related credentials as they become available.
• eDiscovery vendor-side experience (processing, hosting, or vendor project management).
• Understanding of the ESI lifecycle and related industry standards.
• Hands-on experience with the Relativity aiR suite of generative-AI tools (at minimum aiR for Review and aiR for Privilege), including:
  • prompt drafting/iteration
  • validation of results within RelativityOne
• Fundamental working knowledge of large language models (LLMs) and generative AI as applied to document review, including:
  • prompt engineering
  • model limitations and hallucination risk
  • human-in-the-loop quality control
  • data-security considerations
  • defensibility of AI-assisted workflows
• Working knowledge of modern ESI data sources/types (cloud email and files, chat and collaboration data, and mobile/short-message data) and data privacy considerations such as PII/PHI identification and redaction.
• Demonstrated advanced project and time management skills, including handling multiple projects simultaneously and setting priorities.
• Ability to adapt to current and future responsibilities while consistently adhering to firm policies and procedures.
• Demonstrated advanced customer service skills for both internal and external clients.

Compensation & Benefits

Competitive pay with discretionary bonus opportunities and a rich benefits package, including:

• comprehensive medical and dental coverage
• generous paid time off
• tuition reimbursement
• award-winning retirement and profit sharing plans with employer contribution
• back-up child care and health and wellness initiatives

Estimated starting salary (based on 35- or 37.5-hour workweeks):

• In Boston and New York: $56.59 - $81.31 per hour, equivalent to $103,000 - $148,000 annually
• In Chicago, Minneapolis, and Washington., D.C.: $52.82 - $75.89 per hour, equivalent to $103,000 - $148,000 annually

Final compensation is based on factors including education, experience, skills, professional background, overall qualifications, and location.