What Courts Will Ask For (Not What Marketing Claims Say)
When legal scrutiny hits, courts care about evidence, not marketing claims. Discover the six critical factors courts and litigators examine in AI-related harm cases, from foreseeability and design decisions to internal communications and actual safety practices. Learn how founders and investors can prepare robust documentation that stands up under scrutiny
Why “No Harm Intended” Backfires in Healthcare AI: Intent Has Never Protected Healthcare Organizations in Litigation
Healthcare has always been judged by outcomes, not intent. As AI systems enter clinical and mental health environments, the same legal standards apply. This article explains why ‘no harm intended’ backfires in healthcare AI and how liability is actually determined.
Healthcare’s Long Memory
Healthcare doesn’t meet new technology with a blank slate. It meets it with memory.
From EHR rollouts to today’s AI tools, institutional trauma shapes how clinicians interpret, resist, or quietly reject innovation. This piece explores why adoption failures are rarely technical problems and how founders and investors who ignore human and organizational memory underestimate one of the biggest risk factors in health and mental-health tech.