Teams at LexisNexis

Develop and validate agentic AI capabilities for patent analysis using machine learning, NLP, LLMs, RAG, hybrid search, and agentic workflows. Analyze large-scale intellectual property datasets, design experiments, evaluate and benchmark models, define reasoning strategies, and translate findings into product recommendations. Collaborate with product managers, IP experts, and engineers to deliver scalable, customer-facing solutions.

Develop and validate agentic AI capabilities for patent analysis using machine learning, NLP, LLMs, generative AI, retrieval, and hybrid search. Define multi-step reasoning workflows, analyze large-scale intellectual property datasets, establish model evaluation and benchmarking practices, and translate experiments into product recommendations. Collaborate with product teams, intellectual property experts, and engineers to deliver scalable, customer-facing solutions.

Own the AI architecture for an agentic patent-analysis assistant, defining scalable systems for reasoning, retrieval, semantic search, data enrichment, prompt engineering, evaluation, and LLM quality. Partner with engineering, product, data, security, and platform teams to shape the roadmap and ensure enterprise-grade security, privacy, reliability, observability, cost governance, regulatory compliance, and Responsible AI alignment. Document architectural decisions and communicate technical strategies to technical and executive stakeholders.