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April 10, 2026
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AI is moving faster than your legal risk model.
In the last six months, nearly every organization we have worked with has adopted AI somewhere—marketing, HR, finance, contracts, sales, operations.
Very few have robust governance around it, which creates risk.
Many courts and regulators, however, are no longer treating AI as “experimental.” They’re treating it as foreseeable risk. Below are some of the legal issues we see arising:
- Liability for Bad Outputs – AI hallucinates. The liability doesn’t necessarily.
- Customer & Investor Representations – What are you actually promising about AI use? Can a company decrease liability with waivers, terms and conditions?
- Confidentiality & Shadow AI – Employees are already using tools you didn’t approve, increasing the risk of confidentiality violations.
- IP Ownership & Infringement – AI outputs aren’t automatically protectable—and may infringe.
- Vendor Contracts & Risk Allocation – Most terms quietly push AI risk back to the other party.
The winners won’t necessarily be the fastest adopters. They’ll be the ones who adopted intentionally:
Policy. Procedure. Accountability. Training.
If AI is inside your business, governance needs to be there too.
