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Proprietary AI data labels are often unprotected trade secrets

By Nick Robertson ( January 2, 2026, 21:24 GMT | Comment) -- As companies increasingly customize AI models with proprietary software, agents and data-labeling frameworks, Saul Ewing partner Matthew Kohel told MLex that IP practitioners must remain keenly aware of the commercially valuable trade secrets in data filtering and data set creation. While the trade secret implications of AI training data sets and models have received significant attention from IP practitioners, custom tools used to filter and manage data within proprietary models represent an overlooked trade secret protection opportunity, Saul Ewing partner Matthew Kohel told MLex....

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