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.

Lead design and validation of AI-driven legal product capabilities: develop NLP/LLM and generative AI solutions (RAG, prompts), design agentic workflows, build retrieval/hybrid search strategies with embeddings and vector DBs, analyze large legal datasets, establish model evaluation best practices, translate results into product recommendations, collaborate with product and engineering, and mentor junior team members.

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.