Legal Practice Technology Data Scientist

Litigation & Practice Technology Data Scientist

Category: Litigation & Practice Technology

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 23 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

If you have spent your career in eDiscovery and litigation support and are ready to apply that foundation, along with a broader technical skill set, to a wider scope of work, this could be the role for you.

Impact. Data Scientists sit within a group of discovery, data management, and AI specialists dedicated to designing and executing client‑focused workflows on some of the most complex matters in our industry. You will report to the Associate Director of Technical Operations. The role is hands‑on and client‑facing; more than half of your time will be spent directly embedded in active matters.

This position sits within the firm’s Innovation Program.

Coordination and Execution of In‑house Solution Development. You will support the collection of requirements and the design and building of in‑house solutions. You will consult with case teams on data strategies and execute rapid solution development including custom scripting, data management, database development, and visualization design. You will complete requests requiring advanced technologies such as document layout analysis, LLM‑based information extraction, semantic chunking, and entity recognition, while maintaining comprehensive documentation throughout.

Data Project Service Delivery. You will support matter‑specific needs as a subject matter resource, analyzing and troubleshooting data processing and analytics issues. You will develop custom eDiscovery workflows and execute data‑heavy, data‑modeling projects that require creative problem‑solving and technical depth.

Department Initiatives. You will work closely with other data science teams and Litigation & Practice Technology (“LPT”) leadership to evaluate and test internal solutions and emerging technology. You will serve as a go‑to resource for technical knowledge in AI, contributing your expertise to the team’s continuous advancement of its capabilities.

What You’ll Bring

• 3+ years of experience in a law firm, legal services, or professional services organization with significant experience working in a team environment.
• Ability to translate complex concepts into client‑friendly language.
• Highly analytical with strong problem‑solving skills and the ability to translate ambiguous problems into structured solutions.
• Knowledge of statistical analysis and data modeling.
• Demonstrated hands‑on experience with Relativity custom development. Deep knowledge in eDiscovery‑focused data processing, structured analytics, and related troubleshooting.
• Expert‑level proficiency in Microsoft Excel, including VBA development, Power Query, complex formula construction, advanced data modeling, and chart design.
• Experience in creating data visualizations with hands‑on proficiency in tools such as Plotly, Tableau, and Microsoft Power BI.
• Strong Python skills for data analysis, statistical modeling, and AI/ML prototyping (e.g., pandas, PyTorch, Tensor Flow); advanced SQL proficiency; experience building data pipelines.
• Hands‑on experience with AI platforms and tools (e.g., OpenAI, Microsoft Azure OpenAI, Hugging Face, Lang Flow, Lang Chain), including practical implementation of RAG pipelines, vector databases, and knowledge graph construction.
• General knowledge of social network analysis, natural language processing, classification algorithms, and image processing.
• Familiarity with git, svn, JIRA, or other version control technologies.
• Familiarity with hardware platforms (e.g., CPUs, GPUs, FPGAs).
• Familiarity with leading legal technology…