Senior RelativityOne eDiscovery Analyst

Modern Machining Solutions Inc; Cincinnati (OH); Vor Ort; USD 70.000 - 120.000; Vollzeit

Zusammenfassung

Our client, a law firm, seeks an experienced eDiscovery professional to manage electronic evidence and apply RelativityOne tools for complex litigation. You will work with attorneys and project managers to deliver accurate, secure, and timely results.

Responsibilities include managing intake to archival, configuring case databases, and applying analytics and scripts to improve review efficiency while maintaining data integrity and confidentiality.

Qualifikationen

• Five+ years of litigation support experience using Relativity in law firms or eDiscovery environments.
• Advanced RelativityOne proficiency including workspace management, analytics, and scripting.
• Familiarity with EDRM and ACEDS principles.
• Experience with electronic data processing, production, and evidence tracking.
• Proficient MS Office suite; strong attention to detail and communication skills.

Aufgaben

• 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 RelativityOne case databases and support users with functionality.
• Quality control checks to validate data and deliverables.
• Protect confidential information with secure storage and chain-of-custody documentation.

Kenntnisse

RelativityOne

EDRM knowledge

ACEDS familiarity

MS Office

Quality control

Ausbildung

High school diploma

Tools

Relativity

RelativityOne

Microsoft Office

Jobbeschreibung

Our client, a law firm, seeks an experienced eDiscovery professional to manage electronic evidence and apply RelativityOne tools for complex litigation. You will work with attorneys and project managers to deliver accurate, secure, and timely results.

Responsibilities include managing intake to archival, configuring case databases, and applying analytics and scripts to improve review efficiency while maintaining data integrity and confidentiality.