Lead eDiscovery Attorney — AI & Relativity Expert

TRU Staffing, Inc.; Philadelphia (Philadelphia County); Hybrid; USD 150,000 - 225,000; Full time

Job summary

TRU Staffing, Inc. in Philadelphia, PA, is seeking an eDiscovery Attorney to join its Litigation Department.

The attorney will manage eDiscovery projects end-to-end, including selecting technologies, coordinating review teams, and advising on strategy and best practices. The ideal candidate has advanced knowledge of eDiscovery platforms (Relativity), with experience in collections, privilege review, managed review, and emerging AI technologies.

Qualifications

• Significant experience participating in and managing eDiscovery projects.
• Advanced knowledge of common eDiscovery technologies, including Relativity.
• Understanding of case law related to discovery, collections, privilege, and managed review.
• Experience interacting with vendors and internal litigation stakeholders.
• Ability to support multiple matters in time-sensitive conditions.
• Bar admission in the jurisdiction where based is strongly preferred.

Responsibilities

• Manage eDiscovery projects end-to-end, including selecting and applying technologies for collection, early case assessment, document review, and production
• Select and manage document review teams, including contract reviewers
• Provide legal advice on discovery and eDiscovery issues, including case law, collections, privilege, and managed review
• Draft, negotiate, and implement ESI protocols, confidentiality orders, and discovery schedules
• Lead ESI within the litigation department; evaluate new technologies (including AI) and coordinate with vendors

Skills

eDiscovery

Relativity

Vendor management

Discovery protocols

Education

Bar admission (PA preferred)

Tools

Relativity

Job description

TRU Staffing, Inc. in Philadelphia, PA, is seeking an eDiscovery Attorney to join its Litigation Department.

The attorney will manage eDiscovery projects end-to-end, including selecting technologies, coordinating review teams, and advising on strategy and best practices. The ideal candidate has advanced knowledge of eDiscovery platforms (Relativity), with experience in collections, privilege review, managed review, and emerging AI technologies.