Patent analytics and workflow platform for IP decision-making
LexisNexis IP Solutions operates a machine learning-heavy platform for patent data, powered by Python, PyTorch, and scikit-learn on AWS infrastructure (EKS, Lambda, CDK). The tech stack and active projects—automated patent tagging, custom classifier deployment, AI research at scale—signal a shift from manual patent workflows toward automated ML-driven classification. Pain points around legacy modernization and scaling AI deployment indicate the org is in mid-transformation: moving core capabilities from monolithic architecture to cloud-native services while building production ML systems.
LexisNexis IP Solutions provides workflow and analytics software for patent professionals, legal teams, and innovators managing intellectual property. The product suite spans patent search, infringement analysis, and portfolio optimization, built on machine translation, OCR, and database management of patent data. Operating within the LexisNexis Reed Tech division of RELX Group, the unit serves customers across more than 160 countries. The team operates on AWS and Azure, with active hiring in the United States, United Kingdom, and Japan spanning engineering, data, and sales functions.
Python, PyTorch, scikit-learn, Angular, .NET, SQL, and AWS services (EKS, Lambda, CDK). The stack reflects ML-forward engineering for patent classification and data extraction.
Automated patent tagging, custom classifier deployment, modernizing legacy application architecture, and scaling AI research to production. Focus areas include reducing manual patent workflows and building new product architecture.
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