Joe Kendall

Joe Kendall

AI Director
Austin
About

Joe Kendall is a director of AI product management within DLA Piper's AI Practice where he helps build scalable AI products for legal and compliance workflows. Joe works at the intersection of product strategy, systems design, engineering, and law, translating complex legal data into validated facts, insights, and practical workflows for high-stakes matters.

Joe often speaks and teaches on AI and technology, frequently focusing on how organizations can make emerging technology useful, reliable, and operationally durable.

Joe is not a lawyer.

Areas of FocusArtificial Intelligence and Data AnalyticsTechnology
Education
  • M.S., Engineering Product Design, Stanford University, 2015
  • B.S., Mechanical Engineering, Olin College of Engineering, 2009

EXPERIENCE

  • Managed AI-enabled review and analysis workflows for mass settlement matters, including the extraction, validation, and organization of information from large volumes of medical records, settlement documents, and related matter materials
  • Built scalable GenAI systems for litigation and compliance workflows, including cloud-based tools that processed more than 100,000 client documents using tiered validation methods for production-grade legal outputs
  • Developed automated risk screening tools that streamline evaluation of public information to identify signals and trends across broad ecosystems

Publications

Seminars

Prior Experience

  • Led data product development at CS Disco, a cloud-based legal technology company, across eDiscovery, legal hold, document review, and case management platforms supporting large-scale litigation workflows and high-volume legal data environments
  • Helped scale CS Disco through a period of significant growth and its transition to the public markets, including product leadership work that supported recurring revenue growth, platform expansion, and increased product usage
  • Led platform and product teams across enterprise technology, ecommerce, travel, manufacturing, and design environments, with work spanning data-intensive SaaS platforms, marketplace systems, fraud controls, identity, observability, and reliability
  • Taught at Stanford University's d.school, helping graduate students, executives, and interdisciplinary teams apply design thinking and systems methods to complex business and technology problems

Connect

Phone

+1 512 457 7079
(Work, Austin)
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