Senior eDiscovery Analyst

Overview

This role is part of a remote-first Litigation eDiscovery team. Responsibilities include advising case teams and clients on best practices for preserving, collecting, processing, analyzing, reviewing, and producing electronically stored information (ESI), and supporting both traditional and AI-assisted review workflows.

This is a remote-first position, with a focus on candidates in GA, TX, MA, IL, DE, MN, NY, and DC. The ability to work eastern time zone hours is required.

Responsibilities

• Consult case teams and client representatives on best practices surrounding 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 devise and implement defensible plans to preserve, collect, process, review, and produce ESI.
• Develop and maintain documentation related to ESI analysis and document review plans (e.g., reviewer statistics, responsiveness metrics, error logs).
• Accurately maintain and support the firm’s eDiscovery applications.
• 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 wide variety of electronic discovery issues and recommend technical solutions.
• Research and stay current on relevant software and technology solutions to support client needs.
• Maintain advanced technical and professional knowledge through training, vendor meetings, seminars, vendor materials, documentation, self-study, internal and 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 and aiR for Privilege, and where applicable aiR for Case Strategy and aiR for Data Breach Response). Responsibilities include:
  • Drafting and iterating natural-language prompts/issue descriptions
  • Sampling and quality-checking model output
  • Documenting a defensible validation protocol
• Serve as a subject-matter resource for generative AI and analytics tools, 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 (e.g., Microsoft 365 / Purview, Google Workspace, Slack, and 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 work eastern time zone hours is required.
• Ability to meet the billable goal of 1400 hours per year.

Preferred Qualifications

• Relativity Analytics Specialist and Relativity Processing Specialist certifications.
• Relativity aiR and other AI-related credentials (preferred as they become available).
• eDiscovery vendor-side experience, such as processing, hosting, or vendor project management.
• Understanding of the ESI life cycle and related industry standards.
• Knowledge of SQL databases, Python and/or PowerShell, Excel, regular expressions, and other tools and skills useful in data manipulation.
• 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 and 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, and defensibility of AI-assisted workflows.
• Working knowledge of modern ESI data sources and 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 customer service skills for internal and external clients.
• Demonstrated advanced project and time management skills, including the ability to handle multiple projects simultaneously and set priorities.
• Ability to adapt to changing responsibilities and circumstances while consistently following firm policies and procedures.

Compensation & Benefits

• Competitive pay and discretionary bonus opportunities.
• Comprehensive benefits package including comprehensive medical and dental coverage, generous paid time off, and tuition reimbursement.
• Retirement and profit sharing plans with employer contribution.
• Back-up child care and health and wellness initiatives.
• Final compensation will be based on factors including education, experience, skills, professional background, overall qualifications, and location.

Estimated starting salary (per hour and annual equivalent)

• In Boston and New York: $56.59 - $81.31 per hour (based on a 35-hour workweek), equivalent to $103,000 - $148,000 annually.
• In Chicago, Minneapolis, and Washington., D.C.: $52.82 - $75.89 per hour (based on a 37.5-hour workweek), equivalent to $103,000 - $148,000 annually.

Location

Remote-first. Focus on candidates in GA, TX, MA, IL, DE, MN, NY, and DC. Eastern time zone hours required.