Nashville, Tennessee Job Description Primary Responsibilities: KEY RESPONSIBILITIES Collaborate with Senior Discovery Analysts, Project Managers, Attorneys, and Litigation Support staff to support all phases of the electronic discovery lifecycle. Process, load, validate, and maintain client data within Axcelerate and other eDiscovery review platforms while ensuring data integrity and defensibility. Perform data imports, exports, productions, and database maintenance activities in accordance with established workflows and project specifications. Execute quality control (QC) procedures to verify successful data processing, metadata integrity, document counts, searchable text, imaging, and load file accuracy. Troubleshoot data loading issues, investigate processing exceptions, and escalate complex technical issues when appropriate. Manage departmental data inventories, track chain of custody, and maintain accurate documentation for all data received and produced. Support document review teams by preparing review databases, updating workspace configurations, and assisting with user access and workflow issues. Assist with creating and delivering production sets, including native files, images, load files, and metadata, ensuring compliance with client specifications and court requirements. Work with structured and unstructured data from a variety of sources while maintaining defensible eDiscovery practices. Participate in continuous improvement of departmental workflows, documentation, and best practices. Qualifications: REQUIRED EDUCATION, KNOWLEDGE & EXPERIENCE Bachelor's degree or equivalent combination of education and experience. 2+ years of experience in eDiscovery, litigation support, legal technology, or a related technical role. Hands-on experience with Axcelerate or another enterprise eDiscovery platform is strongly preferred. Candidates should be comfortable loading data, validating imports, performing quality control, and supporting document review workflows. Experience using Axcelerate or another enterprise eDiscovery review platform (Relativity, Everlaw, Reveal, DISCO, Nuix Discover, etc.). Experience loading, validating, and exporting data within eDiscovery platforms. Working knowledge of litigation support load files, including DAT, OPT, LFP, CSV, and associated image and native file formats. Understanding of eDiscovery workflows including collection, processing, review, production, and quality control. Familiarity with metadata, OCR, text files, document families, deduplication, and document productions. Strong understanding of database concepts and maintaining data integrity throughout the litigation lifecycle. Advanced Microsoft Excel skills including filtering, formulas, pivot tables, VLOOKUP/XLOOKUP, and working with large datasets. Strong analytical and troubleshooting skills with the ability to identify and resolve data issues. Excellent organizational skills with the ability to manage multiple projects and competing deadlines. Strong written and verbal communication skills with the ability to work effectively with attorneys, vendors, and technical teams. Experience in a law firm or legal services environment preferred. Familiarity with scripting or data manipulation tools (PowerShell, SQL, Python, or similar) is a plus but not required. PHYSICAL REQUIREMENTS Ability to sit and stand for extended periods. Ability to lift up to 25 pounds. The expected salary range for this position is $75,000-$95,000. Final compensation will be determined based on several factors, including but not limited to, relevant experience, qualifications, skill set, and geographic location. Pillsbury Winthrop Shaw Pittman LLP is an Equal Opportunity Employer. If you require an accommodation in order to apply for a position, please contact us at PillsburyWorkday@pillsburylaw.com. We set a high bar for client service and regularly ask clients how we can do better. Our responsiveness has placed us among the Top 25 Most Recommended Law Firms Among GCs for five years running in BTI’s benchmark survey of corporate counsel. This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators and application developers to more easily access and analyze data.

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