Note: The job is a remote job and is open to candidates in USA. TruLegal is an innovative global law firm seeking a Data Scientist with a strong litigation support focus. The role involves partnering with legal teams to design and deploy custom data workflows and build scalable solutions using advanced analytics and AI-driven tools.
Responsibilities
- Support the collection of requirements and the design and building of in-house solutions
- Consult with case teams on data strategies and execute rapid solution development including custom scripting, data management, database development, and visualization design
- Complete requests requiring advanced technologies such as document layout analysis, LLM-based information extraction, semantic chunking, and entity recognition, while maintaining comprehensive documentation throughout
- Support matter-specific needs as a subject matter resource, analyzing and troubleshooting data processing and analytics issues
- Develop custom eDiscovery workflows and execute data-heavy, data-modeling projects that require creative problem-solving and technical depth
- Work closely with other data science teams and Firm leadership to evaluate and test internal solutions and emerging technology
- Serve as a go-to resource for technical knowledge in AI, contributing your expertise to the team’s continuous advancement of its capabilities
Skills
- 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, TensorFlow); 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, LangFlow, LangChain), 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
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