Our management team includes a mass tort executive with over 18 years of mass tort experience who has co-founded a successful mass tort law firm; a data scientist who studied statistics and data mining as a graduate student at Harvard University; a medical coding professional with over 20 years of experience and four medical coding certifications; an IT and AI architect with more than 30 years of experience; and an information technology professional who speaks at national conferences and has co-authored two technical books published by Microsoft Press.

Meet the Paragon Analytics Team

James Mitchell

James Mitchell

CEO, Senior Mass Tort Executive and Senior Data Scientist

James has over 18 years of mass tort experience. He entered the industry as a lead originator for mass tort law firms, and then he migrated to founding a law firm that originated cases and co-counseled these cases with other law firms. He then co-founded a successful mass tort law firm which processed its own cases.

W. Sean Harrison

W. Sean Harrison

Senior Medical Data Scientist and Co-Chief Technology Officer

Sean is a highly accomplished CTO and Enterprise Architect specializing in healthcare IT infrastructure, medical big data, and fiduciary automation

Daniel L. Stolts II

Daniel L. Stolts II

Co-Chief Technology Officer

Dan is a nationally recognized IT executive with over 32 years of experience. He has spoken at AngelBeat as well as dozens of Microsoft national conferences, including TechReady, TechNet Events, and Ignite, as well as numerous Microsoft product launches.

Lisa Whitlock

Lisa Whitlock

Clinical Director

Lisa brings over 27 years of expertise in medical billing, coding, and compliance. With a deep understanding of ICD-9/10, CPT, HCPCS, NDC, and other coding frameworks, she has built a career dedicated to ensuring accuracy, compliance, and strategic optimization in medical coding and reimbursement.

Fuad Lawal

Sean Bethard

Senior Machine Learning Engineer

Since 2013, Sean has been a machine learning engineer, focusing on developing and deploying production-grade NLP systems. For Curiouser AI, he engineered the core backend of a generative AI service designed to automate the creation of strategic marketing content for CEOs. For Rain Agency, he lead NLP development on the Ortho product team, focusing on designing entity lookups and mapping taxonomy entries unambiguously.

Richard Shoemake

Richard Shoemake

Senior AI Architect / Engineer

Richard has over 30 years of IT experience, including architecture, J2EE, messaging, and Amazon Web Services (“AWS”). He has substantial experience in artificial intelligence (“AI”), particularly in generative AI, large language models, Retrieval-Augmented Generation (“RAG”), and Tensor Flow 2.