We’re Adding AI Features to Our Product. Do We Need to Update Our Terms and Privacy Policy?

Your product is doing well.

Customers are asking for AI-powered features, your engineering team has identified a model provider, and you’re preparing to launch capabilities such as AI search, content generation, or chat assistance.

From a technical perspective, the rollout seems straightforward.

Then someone asks whether your legal documents need to change.

At first, the answer might seem obvious.

Your company already has Terms of Service, a Privacy Policy, and a Data Processing Agreement (DPA).

Why wouldn’t those still work?

The answer is that adding AI often changes how your product collects, processes, stores, and shares personal information. Once those data practices change, your legal documents should accurately reflect the new reality. If they don’t, customers, enterprise buyers, and regulators may quickly notice the mismatch.

Adding AI Often Changes Your Data Practices

Many founders think of AI as simply another software feature. In practice, AI usually changes the types of information your product handles.

AI features can:

• Process user prompts that were never previously collected.
• Generate AI-created outputs linked to individual users.
• Retain certain information for longer periods to improve the feature.

These changes affect your privacy practices and should be reflected in your legal documentation.

Your AI Provider May Become a New Subprocessor

Many AI features rely on third-party model providers rather than models hosted entirely within your own infrastructure.

That these providers often become subprocessors because they receive or process customer information on your behalf.

As a result:

• Your Privacy Policy should explain the categories of third parties that receive customer data.
• Your Data Processing Agreement should address the new subprocessor and the safeguards that apply.

Enterprise customers frequently review these provisions during procurement.

Explain Whether Customer Data Is Used to Train AI Models

One of the first questions enterprise customers ask is whether their information is used to train AI systems.

Your legal documents should clearly state:

• Whether user inputs are used for training or fine-tuning.
• Whether your AI provider uses customer information to improve its own models.

If your contracts prohibit model training, your documentation should clearly reflect that position.

If training occurs, your disclosures should explain it accurately rather than leaving customers to make assumptions.

Your Terms, Privacy Policy, and DPA Should Work Together

Updating only one legal document is rarely enough.

Your Terms of Service, Privacy Policy, and Data Processing Agreement should all describe the same product and the same data practices.

For example:

• Your Terms should explain how AI features are used within the product.
• Your Privacy Policy should describe what personal information is collected, shared, and retained.
• Your DPA should explain how customer data is processed on behalf of business customers.

Keeping these documents aligned helps avoid conflicting contractual commitments.

Don’t Quietly Change How Customer Data Is Used

Some businesses simply update their website terms after launching AI functionality.

Regulators have raised concerns about quietly changing legal terms to authorize new AI-related uses of customer information without appropriate notice or consent.

When AI changes how customer information is processed, founders should carefully consider:

• Whether existing users should receive notice.
• Whether additional consent is appropriate.
• Whether updated documentation accurately reflects the revised data practices.

These issues become especially important when existing customer information is used differently from what users originally expected.

Enterprise Customers Will Review More Than Your Privacy Policy

Enterprise procurement teams typically request much more than a public-facing privacy notice.

Many business customers also expect an updated Data Processing Agreement identifying AI subprocessors and explaining how customer information is protected.

If those documents are incomplete or inconsistent, procurement reviews may take longer and negotiations may become more difficult.

Preparing the documentation before launching AI features often creates a smoother sales process.

Common Founder Mistakes

• Treating AI as a minor product update: AI features often introduce new categories of personal information, new data uses, and new sharing arrangements that should be reflected in your legal documents.
• Updating only the Privacy Policy: Your Terms of Service, Privacy Policy, and Data Processing Agreement should remain consistent with one another and accurately describe the same product.
• Changing data practices without notifying existing users: Introducing new AI-related uses of customer information may require careful consideration of notice, consent, and transparency.
• Forgetting to update enterprise documentation: Business customers often expect an updated Data Processing Agreement that addresses AI subprocessors and revised data processing activities.

10-Minute AI Compliance Self Check

• Does my Privacy Policy describe the new information collected by AI features?
• Have I identified my AI provider as a subprocessor where appropriate?
• Do my Terms clearly explain how AI features use customer information?
• Have I documented whether customer data is used for model training or fine-tuning?
• Have I established and disclosed retention periods for AI inputs and outputs?
• Did I notify existing users before changing how their information is processed?
• Do my Terms, Privacy Policy, and DPA accurately describe the same data practices?

If you cannot answer yes to each of these, your document set is behind your product.

Bottom Line

Adding AI to your product is more than a technical enhancement. It often changes how personal information is collected, processed, shared, and retained. Updating your Terms of Service, Privacy Policy, and Data Processing Agreement together helps ensure your legal documentation keeps pace with your product, reduces procurement delays, and provides greater transparency for customers.

Launch AI Features With Legal Documents That Match Your Product

Our launch-ready legal package is tailored to your software, your customers, and the way your product actually operates. Schedule a free 30-minute discovery call to discuss your business, your goals, and whether our team can help prepare your product for launch.

Book here: https://calendly.com/primumlaw/30min