Data Specialist

Overview

Remote (USA)

This role involves owning the data layer that makes complex litigation possible. Responsibilities span technical data operations across the full lifecycle—from collection and processing through production and quality control. The position partners with Client Services pods and coordinates internally with Product and Engineering to maintain data integrity at every stage.

Responsibilities

• Own data operations: Manage ingestion, processing, and production workflows across active cases; validate every output before it reaches the client.
• Own quality control: Apply systematic QC standards across all data outputs, document findings, and resolve issues before delivery to the client or pod.
• Resolve complex data issues: Diagnose and resolve collection anomalies, processing failures, metadata errors, and production format disputes.
• Advise on data strategy: Help clients structure data workflows, processing specifications, and review protocols for efficiency and defensibility.
• Serve as the pod liaison: Receive data handoffs from Client Services pods, document chain of custody, and ensure requirements are captured before work begins; manage intake through a dedicated queue and communicate proactively about capacity and timelines.
• Partner with Engineering and Product: Surface recurring data-layer issues, document edge cases, and contribute to platform improvement through product testing and timely feedback.
• Build documentation: Create and maintain processing guides, QC checklists, and workflow standards that scale as the client base grows.

Requirements

• EDRM depth: Experience owning the full lifecycle (collection through production) on complex commercial cases with high data volumes.
• Quality discipline: Systematic, documented QC process that does not rely on memory.
• Platform fluency: Hands-on experience with Relativity, Everlaw, Nuix, or comparable eDiscovery platforms; ability to troubleshoot beyond day-to-day operation.
• Metadata and data structure knowledge: Understanding of file formats, processing parameters, load file specifications, and why metadata integrity matters.
• Cross-functional communication: Ability to explain data issues to attorneys and technical root causes to engineers.
• Experience and qualifications:
  • 3+ years in eDiscovery, litigation support, or a data-focused legal role.
  • Proficiency with at least one major eDiscovery platform (Relativity RCA or equivalent preferred).
  • Comfort working with metadata, large datasets, and technically complex data requests.
  • Familiarity with ticketing systems such as Jira or Linear is a plus.
  • Experience collaborating with engineering or product teams is a plus.
  • High aptitude for learning new software tools and enthusiasm for AI-powered products.

Preferred Qualifications

• Proficiency with Relativity RCA or an equivalent.
• Experience with ticketing systems such as Jira or Linear.
• Experience collaborating with engineering or product teams.

Compensation & Benefits

• Compensation: Competitive base salary + equity options.
• Benefits: Medical, dental, vision, and voluntary insurance options; vacation, sick leave, and paid holidays; access to benefit counselors and fitness class reimbursements.

Location & Time Zone Requirements

• Remote (United States)
• Time zone: Must be in the Pacific time zone and willing to work 9AM–6PM PT.

Pay Range

• $120,000—$140,000 USD