The eDiscovery Automated Litigation Support (ALS) Lab Manager leads the team and technical operations responsible for processing electronically stored information for complex litigation matters. The ALS lab is an eDiscovery processing environment where electronic files are received, processed, converted, filtered, quality checked, loaded into review platforms, and prepared for production. The manager ensures these services are delivered accurately, consistently, and on time so attorneys and litigation teams can efficiently review evidence, meet discovery obligations, and respond to demanding case schedules.
This position combines technical leadership, people management, and direct support to litigation professionals. The manager oversees daily processing activities, assigns and monitors technical work orders, resolves complex data and production issues, and ensures incoming and outgoing productions comply with applicable electronically stored information specifications. The successful candidate will also advise attorneys, paralegals, and case managers throughout the eDiscovery lifecycle and design technical solutions responsive to their litigation needs.
Key Responsibilities:
Preferred:
Compensation & Benefits
This position is contingent upon contract award. HeiTech Services is proactively identifying qualified candidates in anticipation of a potential federal contract award. Qualified applicants may be contacted for prescreening and interviews prior to award. Employment is contingent upon successful contract award and completion of all required pre-employment and security requirements.
HeiTech Services is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, or any other protected status under applicable law.
If you require a reasonable accommodation during the application process, please contact us at [email protected].
HeiTech Services may utilize technology-assisted tools, including artificial intelligence, to support the review of application materials. These tools are used to enhance efficiency; however, all hiring decisions are made by human reviewers in accordance with federal hiring guidelines.
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