September 8, 2026Tim Robberts/Getty ImagesPostBuy CopiesSummary. “AI Sherlocking” poses a severe strategic risk where AI platforms absorb a company’s hard-won problem-solving logic rather than just its rawPostBuy CopiesFor years, corporate lawyers have obsessed over one question when it comes to AI: Is our data going into someone else’s training set? Most companies feel they’ve solved that. They’ve signed contracts saying the AI provider can’t train on the prompts their employees type in.PostBuy Copies
Is Your AI Training the Competition?
“AI Sherlocking” poses a severe strategic risk where AI platforms absorb a company’s hard-won problem-solving logic rather than just its raw data . While modern enterprise contracts typically protect prompts and outputs, critical intellectual property leaks through employee interaction feedback, synthetic data reuse in future models, and the general capability improvements platforms gain from observing top-tier problem solvers . Coupled with widespread “shadow AI” use through unsecured personal accounts, organizations risk unwittingly training their future competitors . To protect their “logic sovereignty,” business leaders must tighten vendor terms around feedback logs, isolate core IP using fully private or on-premises models, and modularize workflows to keep master methods entirely in-house .
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