[Hiring] eDiscovery Processing Technician @Array

Role Description

The eDiscovery Processing Technician supports legal teams by managing the intake, processing, and organization of digital evidence. This entry-level role is ideal for a detail-oriented professional seeking to build expertise in data management workflows within a high-stakes legal environment. Working closely with Processing Engineers, the analyst helps ensure datasets are properly structured, secure, and ready for attorney review while gaining foundational experience in legal technology and the digital forensics lifecycle.

Key Responsibilities

• Securely receive, validate, and load electronic data into eDiscovery platforms while maintaining strict chain-of-custody protocols.
• Perform standardized data filtering, deduplication, and file extraction workflows under the guidance of senior team members.
• Organize document folder structures and configure review indexes to support efficient attorney review workflows.
• Validate document sets for formatting accuracy, metadata integrity, and completeness before release to the review team.
• Maintain project trackers, update case logs, and prepare recurring status reports to keep stakeholders informed of milestones and progress.

Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Legal Studies, or a related field, or equivalent professional experience.
• Entry-level of relevant experience; prior internship experience in a law firm, legal department, or IT environment is preferred.
• Advanced Microsoft Excel skills, including VLOOKUPs and PivotTables, with the ability to learn, troubleshoot, and work effectively with complex database software.
• Strong attention to detail, a methodical approach to problem-solving, and the ability to explain technical issues clearly to non-technical stakeholders.
• Ability to manage multiple concurrent tasks, adjust priorities quickly, and meet strict, court-mandated deadlines.

Preferred Qualifications

• Working knowledge of the Electronic Discovery Reference Model (EDRM) and its role in the eDiscovery lifecycle.
• Hands-on exposure to eDiscovery platforms, such as Relativity, Nuix, or Logikcull, gained through academic projects, internships, or related experience.

Benefits

• People-Focused Culture
• Competitive Pay & Quarterly Incentives
• Comprehensive Benefits, 401k & Wellbeing Programs
• Paid Time Off & Holidays
• Professional Development & Career Growth Opportunities