Our employees want to use AI to speed up their work, but our legal counsel is terrified of IP leaks. How do we write an AI policy that protects our client data without killing our team's operational momentum?

Question

Tyler Smith · Accepted Answer

You do not need a restrictive, fifty-page legal document that scares your team away from using modern tools. Instead, you need a highly practical policy that clearly defines the boundaries of data privacy while encouraging innovation.

Start by establishing a hard rule regarding public models. Your team must never input proprietary company data, client intellectual property, or sensitive personal information into any free, public AI tool. These public models use input data for training, which can lead to leaks. To maintain operational momentum, provide your team with secure alternatives. Set up enterprise-grade accounts with providers that offer strict data privacy terms. These agreements explicitly state that your data will not be used to train their models.

Document this simple distinction in a clear, one-page policy. Explain the why behind the rule so your team understands the risk to your business and your clients. Frame this policy around your Core Values. If you value being Humbly-Confident or helping first, show your team how protecting client data is the ultimate expression of that value. Review the policy during your quarterly meetings to ensure it remains relevant as the technology evolves. You protect your assets while keeping your team fast.