Vendor AI Training on Customer Data: Key Considerations for Organizations

Vendor AI Training on Customer Data: Key Considerations for Organizations

21h ago Morganlewis 100% similarity 39.7
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Organizations are increasingly allowing vendors to use customer data for AI model training, which raises significant legal and technical considerations. Vendors often seek broad rights to use this data, potentially impacting data ownership and control. Organizations must assess how their data will be used and the risks involved, particularly concerning confidentiality and trade secrets. The implications of granting such rights can be extensive, including the potential loss of competitive advantage. Technical safeguards and contractual protections are essential in mitigating risks associated with vendor data usage. Organizations are advised to negotiate terms that align with their risk tolerance and data sensitivity. As AI technologies evolve, the importance of understanding these dynamics becomes critical for data security.

Key Points: • Vendors increasingly seek rights to use customer data for AI training. • Organizations must evaluate the risks of data exposure and loss of control. • Technical safeguards and contractual protections are crucial for managing risks.

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Timeline

2026-06-12
Article published on vendor AI training considerations
Morgan Lewis discusses the implications of allowing vendors to train AI models on customer data, emphasizing the need for careful evaluation.
Morganlewis
2026-06-13
Updated article published on vendor AI training considerations
Morgan Lewis releases an updated article reiterating the importance of understanding data usage rights and associated risks.
Morganlewis

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