Remote eDiscovery Solutions Engineer — RelativityOne Expert

JND Legal Administration; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) retirement plan

Job summary

JND eDiscovery seeks an experienced Solutions Engineer with deep RelativityOne mastery to tackle complex data challenges and build defensible production workflows.

In this remote role, you will analyze large, messy datasets, script automation with Python/PowerShell, and extend RelativityOne capabilities using its APIs, delivering end-to-end eDiscovery processing and production support.

Qualifications

• 5+ years of combined experience in eDiscovery data analysis and/or data engineering at a vendor, law firm, or in-house.
• Relativity Certified Administrator (RCA) with at least 3 years using Relativity at an administrator level.
• Experience scripting to parse, transform, or analyze complex data within eDiscovery or legal-tech environments.
• Bachelor's degree in Technology, Computer Science, Information Systems, Legal Studies, or related field.

Responsibilities

• Investigate and reverse-engineer abnormal, non-standard, proprietary, or malformed data types and file formats.
• Develop methods to parse, extract, transform, convert, and normalize complex data for RelativityOne processing.
• Analyze large datasets to isolate important elements and ensure defensibility.
• Write scripts to parse, convert, and analyze data and automate repetitive tasks.
• Manage end-to-end eDiscovery data lifecycle across the EDRM.

Skills

RelativityOne mastery

Scripting ability

Analytical thinking

Communication to stakeholders

Education

Bachelor's degree in Technology/CS/IS/Law

Tools

Python

PowerShell

Job description

JND eDiscovery seeks an experienced Solutions Engineer with deep RelativityOne mastery to tackle complex data challenges and build defensible production workflows.

In this remote role, you will analyze large, messy datasets, script automation with Python/PowerShell, and extend RelativityOne capabilities using its APIs, delivering end-to-end eDiscovery processing and production support.