eDiscovery Processing Engineer/Analyst
We are seeking an experienced and highly technical eDiscovery Processing Engineer to serve as a critical component of our Operations team. This hands-on role is responsible for the end-to-end technical execution of the data processing workflow, ensuring the efficient, accurate, and defensible transformation of large, complex data sets into review-ready formats. The ideal candidate is an expert in industry-leading processing platforms, meticulous in exception handling, and committed to upholding the rigorous quality control and chain-of-custody standards required for complex litigation and investigations.
Responsibilities
- Data Ingestion & Processing
Execute end-to-end processing of diverse data sources (email, chat, cloud exports, mobile images), including deduplication, metadata normalization, text extraction, and publishing to review platforms.
- Exception Handling & Quality Control
Troubleshoot complex file issues (encrypted, corrupted, proprietary formats) and perform rigorous QC checks to ensure data integrity and defensibility.
- Platform Management & Publication
Prepare and publish processed data to hosting platforms (Relativity, Everlaw, DISCO), ensuring accurate field mapping, family relationships, and analytics readiness.
- Data Export and Delivery
- Cross-Functional Collaboration
Partner with Project Managers, meet deadlines, and provide technical guidance on best practices.
- Documentation & Compliance
Maintain detailed SOPs, audit logs, and processing notes to uphold chain-of-custody and defensibility standards.
- Continuous Improvement & Mentorship
Identify opportunities for process enhancements, evaluate new tools, and mentor junior team members on technical and operational best practices.
Qualifications
- 5–8+ years in eDiscovery data processing within an Operations or Managed Services environment.
- Expert-level proficiency with one or more eDiscovery processing platforms (e.g., Nuix, Relativity Processing/RIP, FTK/Imager), including large-scale jobs (multi‑TB).
- Strong scripting/automation skills preferred (Python and/or PowerShell); experience with CLI tools and batch processing.
- Deep understanding of EDRM, chain of custody, metadata standards (e.g., parent/child relationships, time zones, hash values, MIME types), and defensibility requirements.
- Hands-on experience processing common sources: Microsoft 365 (Exchange/Teams/SharePoint), Google Workspace, Slack, Zoom/Meet, Bloomberg/Refinitiv, mobile/forensic images (Cellebrite/GrayKey exports), and archives/containers (ZIP/RAR/7z).
- Proficiency with OCR, exception handling, text extraction, and encoding challenges (e.g., Unicode, code pages, right‑to‑left languages).
- Familiarity with hosting platforms (e.g., Relativity, Everlaw, DISCO) and publication best practices.
- Strong documentation skills; comfort with ticketing systems and change management.
- Pacific hours are a plus!
The base Compensation range for this role will $75,000-85,000+ and will be dependent upon the individual's location, skills, experience and qualifications. In addition to the base pay, this role will be eligible for a discretionary bonus program. What we offer..
- Competitive salary and benefits package.
- Opportunity to work with a dynamic and growing team.
- Professional development and growth opportunities.
- A collaborative and inclusive work environment.
About Array Array is a dynamic, rapidly growing legal services firm that's redefining the industry. Our name, Array, encapsulates both the comprehensive scope of our offerings and the assemblage of industry-leading experts that form our core. With a synergy of creativity, dedication, and seasoned experience, we craft innovative solutions that not only resolve our clients’ challenges but consistently surpass their expectations. Array offers electronic discovery and data processing, managed document review, traditional paper services, records and subpoena services, court reporting and contract legal staffing services. We have over 450 employees and 600 legal contractors in locations across ten major cities across the US and one in Canada. #LI-REMOTE Apply tot his job Apply To this Job