Data Specialist
S
SylloEDiscovery, legal technology
Remote, USA, Pacific time zone; 9AM - 6 PM PTFull-TimeMiddle
SalaryCompetitive base salary + equity options. United States - Remote Pay Range $120,000 — $140,000 USD
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Job Details
- Experience
- 3+ years in eDiscovery, litigation support, or a data-focused legal role.
- Required Skills
- JiraCreativity
Requirements
- Have 3+ years of experience in eDiscovery, litigation support, or a data-focused legal role.
- Have hands-on EDRM lifecycle experience from collection through production on complex commercial cases.
- Have owned the full lifecycle on complex commercial cases with high data volumes.
- Be proficient with at least one major eDiscovery platform; Relativity RCA or equivalent is preferred.
- Have hands-on experience with Relativity, Everlaw, Nuix, or comparable platforms.
- Be able to troubleshoot eDiscovery platforms, not just operate them.
- Understand file formats, processing parameters, load file specifications, and metadata integrity.
- Be comfortable working with metadata, large datasets, and technically complex data requests.
- Use a systematic, documented QC process.
- Be able to explain data issues to attorneys and technical root causes to engineers.
- Experience with ticketing systems such as Jira or Linear is a plus.
- Experience collaborating with engineering or product teams is a plus.
Responsibilities
- Manage ingestion, processing, and production workflows across active cases, and validate outputs before they reach clients.
- Apply systematic QC standards, document findings, and resolve issues before they reach clients or the pod.
- Diagnose and resolve collection anomalies, processing failures, metadata errors, and production format disputes.
- Help clients structure data workflows, processing specifications, and review protocols.
- Receive data handoffs from Client Services pods, document chain of custody, and capture requirements before work begins.
- Manage intake through a dedicated queue and communicate proactively about capacity and timelines.
- Surface recurring data-layer issues, document edge cases, and contribute platform feedback through testing.
- Create and maintain processing guides, QC checklists, and workflow standards.
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