Litigation & Practice Technology Senior Analyst

Job Description

About Kirkland & EllisAt Kirkland & Ellis, we don’t just meet the standard for legal excellence — we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 22 offices worldwide.

Our dedicated professionals share our lawyers’ commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward. What You’ll DoAre you energized by solving complex data challenges and delivering high-quality technical solutions that drive litigation success? As a Litigation & Practice Technology (LPT) Senior Analyst at Kirkland & Ellis, you’ll play a critical role in supporting case teams through hands-on management of data, databases, document productions, and advanced litigation technology tools. Working closely with LPT Project Managers and firm leadership, you’ll help ensure the secure, efficient, and accurate handling of client data across all phases of discovery and litigation support.

This role offers a chance to apply your expertise in eDiscovery tools, analytics, and process improvement within a fast-paced, collaborative environment that values precision, problem-solving, and innovation. This position may occasionally require travel and after-hours support to meet client or project needs.

• Data & Database Management: Process, convert, and manage electronically stored information (ESI) in accordance with case-specific requirements. • Technical Execution: Create, configure, and administer Relativity workspaces, Brainspace environments, and other eDiscovery applications. • Quality & Compliance: Conduct quality control checks on data processing and production deliverables to ensure accuracy, consistency, and compliance with project specifications.

• Production Support: Generate custom load files, metadata, native files, and text files; ensure proper optical character recognition (OCR), redaction, and production formatting. • Troubleshooting & Support: Resolve complex data loading and application issues, providing timely, hands-on technical support to case teams. • Analytics & Reporting: Utilize analytics tools such as Relativity Analytics and Brainspace to support deduplication, email threading, privilege review, and predictive modeling.

• Collaboration & Communication: Partner with Project Managers, Operations, and case teams to meet deadlines, manage deliverables, and maintain clear communication across offices. • Process Improvement: Contribute to documentation, training materials, and process refinement initiatives that advance departmental efficiency.

• Training & Knowledge Sharing: Deliver training sessions for case teams and provide briefings to department leadership as requested. What You’ll Bring• Education: Bachelor’s degree preferred; an associate degree combined with relevant experience will be considered. • Experience: Minimum of 6 years (preferred) in legal technology or eDiscovery support, ideally within an Am Law 100 firm or equivalent service provider.

• Technical Expertise: At least 3 years of hands-on experience with leading eDiscovery platforms (e. g. , Relativity, Reveal), including database setup, search design, and workflow configuration.

• Production & Processing Skills: Strong knowledge of eDiscovery processing tools (Relativity, Nuix, LAW) and demonstrated experience in creating complex document productions. • Analytics Proficiency: Minimum of 1 year using analytics tools (e. g.

, Relativity Analytics, Brainspace, NexLP) for machine learning–based review and quality control. • Programming & Scripting: Working knowledge of SQL, Python, and scripting languages to convert and analyze data effectively. • Communication & Problem-Solving: Ability to convey technical concepts clearly, respond effectively to stakeholder needs, and identify solutions under tight timelines.

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