For Tech Teams & AI Builders
Build and deploy AI with a clearer understanding of the risk.
Technical choices become legal, privacy, governance and operational questions once AI systems touch real users, business data, connected applications, or consequential decisions.
What changes in deployment
Risk lives in the details of how the system is built and used.
01
data flows and data handling
02
access and permissions
03
privacy and confidentiality
04
human oversight
05
accountability
06
vendor/model dependencies
07
documentation and governance
08
operational failure modes
Practical evidence
AI Teardown shows how I look at systems in practice.
I test AI tools, agents, automations and workflows, then examine the data, permissions, integrations, human review points and failure modes underneath the interface. That same systems-level lens informs implementation and risk conversations with organizations.
Research & conversations
Legal and governance thinking grounded in the technology itself.
Research paper
Legal Issues Associated with AI
A research paper examining key legal issues arising from artificial intelligence systems.
White paper
AI and National Competitiveness
Legal and policy pathways for U.S. technology leadership in an AI-driven economy.
Creator & Host
Everything AI & Law Podcast
Conversations with experts at the frontier of artificial intelligence, law, governance, business, and practical adoption.