Data Specialist
- Role
- Data Engineering
- Experience
- Mid
- Company size
- Startup
Open to US only. Set where you work from to check your eligibility.
No BS summary
Data specialist with 3+ years in eDiscovery, litigation support, or a data-focused legal role. Must have hands-on EDRM lifecycle experience, eDiscovery platform fluency, and be based in the USA.
Core skills
Required skills
Optional skills
Data Specialist Location: Remote, USA Department: Customer Success About Syllo Syllo is defining the Litigation AI category. We are the first unified platform designed to autonomously manage the entire litigation lifecycle end-to-end. Founded in 2019 by a team of litigators and engineers, Syllo enables legal teams to securely harness the power of AI across any matter, regardless of complexity or scale. Our technology supports Fortune 500 companies and AmLaw 200 firms managing their most complex litigation portfolios. Awarded ILTA Transformative Project of the Year and ALM eDiscovery Technology of the Year for 2026, we are the market leader in enterprise-grade litigation AI. Backed by top-tier VCs, we are at a clear inflection point — the team has doubled in the last six months and growth is accelerating. About the role Own the data layer that makes complex litigation possible. This role is responsible for the technical data operations that underpin every case on Syllo's platform, from collection and processing through production and quality control. You will work directly with Client Services pods and internally with Product and Engineering to ensure data integrity at every stage. We are looking for someone with hands-on EDRM lifecycle experience, deep platform fluency, and the judgment to know when a data issue is a technical quirk versus a signal something is wrong. What you will do 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, documenting findings and resolving issues before they reach the client or the 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 their data workflows, processing specs, 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 all 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 hold up as the client base grows. What you bring EDRM depth: You have owned the full lifecycle, from collection through production, on complex commercial cases with high data volumes. Quality discipline: Your QC process is systematic, documented, and does not depend on memory. Platform fluency: Hands-on experience with Relativity, Everlaw, Nuix, or comparable platforms. You can troubleshoot, not just operate. Metadata and data structure knowledge: You understand file formats, processing parameters, load file specs, and why metadata integrity matters. Cross-functional communication: You can explain a data issue to an attorney and a technical root cause to an engineer. Experience and qualifications 3+ years 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; Relativity RCA or equivalent preferred. Comfort working with metadata, large datasets, and technically complex data requests. Experience 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. Total rewards and benefits At Syllo, we believe in taking care of our team so they can focus on building the future of legal tech. 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. Growth: Annual learning and development budget and real career growth in a fast-scaling organization. Equal opportunity employer We celebrate diversity and are committed to creating an inclusive environment for all employees. We provide a fair and accessible hiring process. If you require accommodations during the application or interview stage, please let us know. United States - Remote Pay Range $120,000 — $140,000 USD
What you'll do
- 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, documenting findings and resolving issues before they reach the client or the 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 their data workflows, processing specs, 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 all 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 hold up as the client base grows.
What they require
- EDRM depth: You have owned the full lifecycle, from collection through production, on complex commercial cases with high data volumes.
- Quality discipline: Your QC process is systematic, documented, and does not depend on memory.
- Platform fluency: Hands-on experience with Relativity, Everlaw, Nuix, or comparable platforms. You can troubleshoot, not just operate.
- Metadata and data structure knowledge: You understand file formats, processing parameters, load file specs, and why metadata integrity matters.
- Cross-functional communication: You can explain a data issue to an attorney and a technical root cause to an engineer.
- 3+ years 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.
- High aptitude for learning new software tools and enthusiasm for AI-powered products.
- Preferred: Relativity RCA or equivalent.
- Preferred: Experience with ticketing systems such as Jira or Linear.
- Preferred: Experience collaborating with engineering or product teams.
Benefits
- Competitive base salary + equity options.
- Medical, dental, vision, and voluntary insurance options.
- Vacation, sick leave, and paid holidays.
- Access to benefit counselors and fitness class reimbursements.
- Annual learning and development budget and real career growth in a fast-scaling organization.
Syllo is defining the Litigation AI category. We are the first unified platform designed to autonomously manage the entire litigation lifecycle end-to-end.