Relativity eDiscovery Lead for Litigation Analytics

Connectly Recruiting; Washington (District of Columbia); On-site; USD 110,000 - 160,000; Full time

Job summary

Our client, an established law firm in Washington, DC, seeks an experienced eDiscovery professional to manage electronic evidence and support complex litigation matters. You will work closely with attorneys and project managers to deliver accurate, secure results using RelativityOne.

Responsibilities include translating case needs into data workflows, applying analytics and scripts, and handling intake, processing, production, and archival while ensuring quality control and secure

Qualifications

• Five+ years of litigation support experience using Relativity and advanced analytics.
• Proficiency with RelativityOne, including workspace management, analytics, and scripting.
• Familiarity with EDRM and ACEDS principles.
• Experience with electronic data processing, document production, quality control, and evidence tracking.
• Proficient in Microsoft Office.

Responsibilities

• Partner with attorneys and project managers to translate case needs into data workflows.
• Apply RelativityOne analytics and scripts to improve review efficiency.
• Manage electronic evidence through intake, processing, loading, production, and archival.
• Configure and maintain RelativityOne case databases and support users.
• Validate data and deliverables through quality control checks.
• Maintain confidentiality with secure storage and chain-of-custody documentation.

Skills

Analytical judgment

Attention to detail

Communication skills

Education

High school diploma or equivalent

Tools

Relativity

RelativityOne

Scripting

Job description

Our client, an established law firm in Washington, DC, seeks an experienced eDiscovery professional to manage electronic evidence and support complex litigation matters. You will work closely with attorneys and project managers to deliver accurate, secure results using RelativityOne.

Responsibilities include translating case needs into data workflows, applying analytics and scripts, and handling intake, processing, production, and archival while ensuring quality control and secure