Startup Leadership Salon: AI Created New Legal Risks for Companies

There is a strange new confidence in boardrooms right now. Companies are wiring AI into operations, compliance, customer workflows, and internal tools at a velocity that would have felt reckless 18 months ago. Product teams are shipping. Legal teams are recalibrating. Somewhere between deployment and discovery, a new layer of exposure is forming. On February 24, 2026, an event titled “AI created new legal risks for companies, but also opens new possibilities” steps directly into that tension. Not as spectacle. As signal.

Hosted by Lawrence Krubner through the Respectful Leadership community, the format is disciplined: 6 speakers, 7-minute lightning talks, lunch, and audience Q&A. No theatrical keynotes. No inflated futurism. Just operators working through what AI adoption actually means inside real companies. In a startup ecosystem increasingly defined by AI acceleration and compressed decision cycles, that kind of density matters.

Edward Bridges, Head of Engineering at GreenLite, represents a venture-backed operator in motion. GreenLite raised $49.5M in a Series B led by Insight Partners, building AI infrastructure to modernize construction permitting. Bridges has scaled engineering organizations at Squarespace and Aetion. Now he is applying machine intelligence to municipal code, documentation bottlenecks, and regulatory drag. AI in construction tech is not theory. It is throughput, compliance, and capital efficiency converging.

Michelle Bufano, Founder and CEO of Michelle Bufano Business Consulting LLC and Founder of the Law Offices of Michelle M. Bufano LLC, brings 25+ years of litigation experience, including her tenure as Partner at Patterson Belknap Webb and Tyler. Her focus is precise: AI misuse and the erosion of attorney client privilege. Founders tend to optimize for velocity. Courts optimize for record. That delta is where risk compounds. In a startup ecosystem obsessed with shipping, Bufano is mapping the liability layer few want to examine.

Sunitha Ray, MIT alumna with a Masters in Engineering in Supply Chain Management and AI, now Fractional CTO at Copperpod AI and Founder of Graphitix, approaches AI through operational math. After decades at Capgemini and executive roles at SharkNinja and Benjamin Moore, she understands enterprise scale. Productivity gains are not philosophical. They are measurable, repeatable, and fragile if misapplied.

Uvika Sharma, Founder and Managing Partner of INTLDA and Head of Advisory Services at AI 2030, frames responsible AI as governance embedded in execution. With experience across Pfizer, Accenture, S and P, Moody’s, and Citi, she understands how policy translates into process. AI without guardrails is not bold. It is exposed.

Thu Do, Head of Incubation and Experience Design at Merit America and member of the TAILORU Collective, examines how AI transforms workforce development. Adaptive learning systems and experience design are not academic trends. They determine how talent compounds across sectors increasingly shaped by automation.

Dan Maccarone, Co-founder and CEO of Charming Robot, has shaped product strategy and UX for Hulu, Foursquare, Rent the Runway, and The Wall Street Journal. His focus on agency incentives and AI-driven efficiency cuts into a structural friction point: when automation challenges billable hours, alignment must evolve. That conversation is long overdue across the startup ecosystem.

This gathering is not debating whether AI matters. That question has expired. It is interrogating how to deploy AI without destabilizing legal frameworks, vendor models, or enterprise governance. Possibility on one side. Exposure on the other. In a market recalibrating capital, risk, and trust simultaneously, rooms like this function less as meetups and more as inflection points inside the broader startup ecosystem.