Senior RelativityOne eDiscovery Analyst - Flexible Schedule

Hire Consulting Services; Denver (CO); On-site; USD 90,000 - 130,000; Full time

Job summary

Our client, a law firm, seeks an experienced eDiscovery professional to manage electronic evidence, apply RelativityOne analytics, and develop scripts for efficient, secure results in complex litigation.

You will partner with attorneys and project managers to translate case needs into data workflows, maintain RelativityOne case databases, and ensure timely, compliant deliverables across intake, processing, production, and archival.

Qualifications

• Five years of litigation support experience using Relativity and advanced analytics.
• Proficiency with RelativityOne workspace management, analytics, and scripting.
• Knowledge of EDRM and ACEDS principles.

Responsibilities

• Partner with attorneys and project managers to translate case needs into practical data workflows.
• Apply RelativityOne analytics, AI, and scripts to improve review efficiency and solve workspace challenges.
• Manage electronic evidence through intake, processing, loading, production, and archival.
• Configure and maintain RelativityOne case databases and support users with basic and advanced functionality.
• Validate data and deliverables through quality control checks and resolve accuracy or consistency issues.
• Protect confidential information through secure storage, chain-of-custody documentation, and detailed activity tracking.

Skills

Analytical thinking

Attention to detail

Communication

Education

High school diploma or equivalent

Tools

RelativityOne

Relativity Analytics

Scripting

Job description

Our client, a law firm, seeks an experienced eDiscovery professional to manage electronic evidence, apply RelativityOne analytics, and develop scripts for efficient, secure results in complex litigation.

You will partner with attorneys and project managers to translate case needs into data workflows, maintain RelativityOne case databases, and ensure timely, compliant deliverables across intake, processing, production, and archival.