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Syllo

AI-powered document review and case strategy

Data Specialist

Legal Counsel & Legal SupportUpdated on Nov 10
Full-timeRemote in USA

About the Job

Requirements

  • At least 3 years of experience in eDiscovery, litigation support, or a data-focused legal role.
  • Hands-on EDRM lifecycle experience from collection through production on complex commercial cases.
  • Proficiency with at least one major eDiscovery platform.
  • Comfort working with metadata, large datasets, and technically complex data requests.

Responsibilities

  • Own data operations by managing ingestion, processing, and production workflows across active cases, and validate every output before it reaches the client.
  • Apply systematic quality-control standards across all data outputs, document findings, and resolve issues before they reach the client or pod.
  • Diagnose and resolve collection anomalies, processing failures, metadata errors, and production format disputes.
  • Help clients structure data workflows, processing specifications, and review protocols for efficiency and defensibility.
  • 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 proactively communicate capacity and timelines.
  • Partner with Engineering and Product by surfacing recurring data-layer issues, documenting edge cases, and contributing to platform improvement through product testing and timely feedback.
  • Create and maintain processing guides, quality-control checklists, and workflow standards as the client base grows.

Desired Qualifications

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

About the Company

Syllo

AI-powered document review and case strategy

Syllo.ai provides an AI-powered workspace for litigation that helps lawyers and paralegals manage cases by reviewing millions of documents quickly, aiding in proof charting, and delivering deep case insights across the discovery-to-trial process. How it works: an in-house AI analyzes large data volumes to extract relevant information and surface insights, while human lawyers provide judgment and strategic input within a secure platform. Why it stands out: it targets elite litigators with an end-to-end, litigation-focused workspace that combines large-scale document processing, specialized features, and customizable solutions. Its goal is to streamline the litigation process, save time, reduce manual work, and help legal teams build stronger, data-driven strategies.

Company size
51-200
Company stage
Early VC
Total funding
$35.2M
Headquarters
New York City, New York
Founded
2019

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