Data Scientist; Litigation

Our client, an innovative and dynamic global law firm, is seeking a Data Scientist to join its team with a strong litigation support focus, working at the intersection of eDiscovery, advanced analytics, and AI-driven solutions. In this highly hands‑on, client‑facing role, you’ll partner directly with legal teams to design and deploy custom data workflows, build scalable solutions using Python, SQL, and modern AI/ML tools, and contribute to cutting‑edge initiatives like LLM‑based extraction, knowledge graphs, and data visualization.

With over 50% of time spent embedded on active matters, this is an ideal opportunity for someone with a strong legal or eDiscovery background who wants to expand into broader data science and innovation work while solving complex, high‑impact challenges.

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.

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.

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.

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.

You will work closely with other data science teams and Firm 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.

• Some 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.
• Proficiency in front‑end web technologies including JavaScript, HTML, and CSS, with the ability to develop interactive web-based tools and dashboards.
• 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).
• Bachelor’s degree.
• Familiarity with leading legal technology platforms is preferred (docketing systems, document management systems, case management systems, eDiscovery, data collection and web capture solutions).
• Experience evaluating LLM output quality through benchmarking, precision, recall, and extraction accuracy assessment is preferred.

Expected salary for this role is $133,000 - $191,000, commensurate with experience, training, skills, qualifications, and other market factors.