Legal Practice Technology Senior Analyst

Kirkland & Ellis; Houston (TX); On-site; USD 133,000 - 183,000; Full time

Job summary

Kirkland & Ellis seeks a Senior Analyst in Legal Practice Technology to drive complex data management, eDiscovery workflows, and analytics. You will manage Relativity and Brainspace environments, support production, and ensure data quality across discovery phases with a focus on accuracy and efficiency.

The role emphasizes collaboration with project managers and case teams, with opportunities to grow into data science-related work and AI-focused engagements, including occasional travel and

Qualifications

• Bachelor’s degree preferred; an associate degree combined with relevant experience will be considered.
• Minimum 6 years in legal technology or eDiscovery support within a large firm or equivalent service provider.
• Hands-on experience with leading eDiscovery platforms (Relativity, Reveal).
• Experience with data processing tools (Relativity, Nuix, LAW).
• Experience using analytics tools (Relativity Analytics, Brainspace, NexLP).
• Knowledge of SQL, Python, and scripting languages.

Responsibilities

• Data & Database Management: process, convert, and manage electronically stored information (ESI).
• Technical Execution: configure and administer Relativity workspaces, Brainspace, and other eDiscovery apps.
• Quality & Compliance: perform quality control on data processing and production deliverables.
• Production Support: generate load files, metadata, native files, and text; ensure OCR and redaction quality.
• Troubleshooting & Support: resolve data loading and application issues for case teams.
• Analytics & Reporting: use Relativity Analytics and Brainspace for deduplication, threading, privilege review, and predictive modeling.
• Collaboration & Communication: coordinate with project teams to meet deadlines and maintain clear communication.
• Process Improvement: contribute to documentation and training material to improve efficiency.
• Training & Knowledge Sharing: deliver training sessions and briefings to leadership.

Skills

Data management

Relativity

Brainspace

SQL

Python

Project management

Communication

Problem solving

Education

Bachelor’s degree preferred; associate degree considered

Tools

Relativity

Brainspace

Nuix

LAW

NexLP

Job description

About Kirkland & Ellis At 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 24 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 Do Are you energized by solving complex data challenges and delivering high-quality technical solutions that drive litigation success? As a Legal 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.

Based on firm need and individual interest, qualified Senior Analysts may eventually have an opportunity to transition into a Data Scientist role focused on data analysis and AI engineering for client engagements.

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.
• Project Management: Proven ability to manage multiple priorities simultaneously with a high degree of accuracy and professionalism.
• Certifications: Relativity Certified Administrator (RCA) required; Brainspace Analyst Certification preferred.
• Adaptability: A proactive, “can-do” mindset with the flexibility to handle changing priorities and evolving technologies.

Compensation The base salary range below represents the low and high end of the salary range for this position in each of the below locations. This range may differ based on your geographic location and cost of living considerations. At Kirkland & Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.

Compensation Range
Chicago: $133,000 - $166,000
New York City: $133,000 - $183,000
Los Angeles: $133,000 - $183,000
Boston: $133,000 - $183,000
Washington D.C.: $133,000 - $183,000

Equal Employment Opportunity All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law.