Jobs at LexisNexis

Report on legal technology and artificial intelligence adoption across law firms, courts, and regulators. Break news, develop scoops, identify trends, and produce analysis, features, and enterprise stories for a professional legal audience. Build a source network across legal technology, law firms, startups, investors, academics, and regulators. Translate complex technical concepts into clear journalism while managing daily news and longer-term reporting.

Leads customer experience initiatives from scoping through measurement and iteration. Manages cross-functional projects, customer journey improvements, CX documentation, and AI-enabled customer-facing solutions. Analyzes NPS, CSAT, CES, feedback, and behavioral data to identify opportunities, partners with Product and Technology teams, and may lead a small team of CX specialists.

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.

Manage new sales and renewals for Research Intelligence across the Midwest. Use consultative selling to expand accounts, drive renewals, execute account strategies, maintain Salesforce/Clari accuracy, gather market feedback, support product/GT M, attend trade shows, and build relationships with senior stakeholders in academic and research institutions.

Build and own production-grade generative AI applications for legal technology, specializing in RAG, agentic systems, advanced search, embeddings, reranking, evaluation, and LLM workflows. Responsibilities include architecting modular Python applications, refactoring legacy code, implementing testing and observability, optimizing performance and costs, ensuring resilience and security, reviewing code, and supporting deployments and incident resolution.

Develop and deploy NLP and machine learning models for classification, sentiment analysis, entity extraction, information retrieval, and user intent detection across large-scale legal, financial, news, and business datasets. Design scalable data science pipelines, evaluate modern AI algorithms and tools, translate business needs into technical solutions, and collaborate with product and engineering teams. Mentor junior scientists and contribute to model deployment, monitoring, maintenance, and development best practices.

Manage a portfolio of large law firm accounts, driving adoption, workflow transformation, retention, usage growth, and measurable customer value. Build trusted advisor relationships, develop success plans, guide change management, analyze customer health and usage data, support renewals and expansion, and collaborate with Sales, Product, Marketing, and Enablement. Serve as the customer voice while promoting LexisNexis drafting, research, analytics, and AI-powered legal workflow solutions.

The Lexis Associate position is for law students to represent LexisNexis, providing support and guidance to peers regarding legal research and resources.

Posting contains company overview, equal opportunity and accommodation statements, and recruiter scam warning. No specific duties, responsibilities, or required qualifications are provided. Position noted as not eligible for benefits.

Partner with in-house legal teams to design and implement tailored LexisNexis AI and workflow solutions, lead demos and training, drive adoption, identify expansion opportunities, gather client feedback for product and development teams, and support clients in the field (50% travel).