Teams at LexisNexis

Lead a team of data scientists and ML engineers building production-scale NLP, LLM, RAG, and agentic content systems. Set AI strategy, develop evaluation and monitoring practices, prototype and deploy models, and integrate AI into distributed platforms. Partner with engineering, product, legal, and design teams to deliver reliable, scalable solutions while balancing latency, cost, accuracy, and business impact. Mentor team members and establish responsible AI, experimentation, data preparation, and model-serving standards.

Student Representative position for a law school student supporting LexisNexis Legal & Professional. The posting provides company and equal opportunity information but does not specify detailed responsibilities, compensation, travel, or security requirements.

Supports legal content operations through legal and factual research, document analysis, citation verification, contract administration, content preparation, and lifecycle coordination. Develops reports, dashboards, and performance metrics; manages content sorting and processing handoffs; supports vendor onboarding and evaluation; identifies operational issues; and contributes to automation, workflow optimization, strategic initiatives, and continuous improvement across legal, technology, operations, and product teams.