Senior eDiscovery & AI Analytics Lead (Remote-First)

Fish & Richardson P.C.

Minneapolis (MN)

Sur place

USD 103 000 - 148 000

Plein temps

Il y a 6 jours
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Avantages offerts par ce poste

Medical and dental coverage
Paid time off
Tuition reimbursement

Résumé du poste

Fish & Richardson P.C. is seeking a Senior eDiscovery Analyst for its remote-first Hub. You will guide preservation, collection, processing, review, and production of ESI for case teams while leveraging Relativity analytics and AI-powered workflows.

The role requires Relativity certifications and 5+ years of litigation experience; you will mentor analysts, design defensible workflows, and support cloud data sources in a fast-paced environment.

Qualifications

  • Minimum 5 years across litigation, investigations, and regulatory matters with knowledge of document review technologies.
  • Relativity Certifications required/preferred as applicable.
  • Experience with eDiscovery vendor-side processing, hosting, or project management is a plus.

Responsabilités

  • Consult case teams and clients on ESI preservation, collection, processing, analysis, review, and production.
  • Utilize Relativity Analytics and CAL to reduce data volumes.
  • Design and validate AI-assisted review workflows and defensible validation protocols.
  • Develop documentation on reviewer statistics, responsiveness metrics, and error logs.

Connaissances

Relativity One
Active Learning/ TAR
AI-assisted review
SQL
Python
PowerShell
Excel
Log management

Formation

Relativity Certified Administrator
Relativity Analytics Specialist

Outils

Relativity analytics
Relativity aiR suite

Description du poste

Fish & Richardson P.C. is seeking a Senior eDiscovery Analyst for its remote-first Hub. You will guide preservation, collection, processing, review, and production of ESI for case teams while leveraging Relativity analytics and AI-powered workflows.

The role requires Relativity certifications and 5+ years of litigation experience; you will mentor analysts, design defensible workflows, and support cloud data sources in a fast-paced environment.

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