A founder searches “how much does a privacy policy cost” and finds two answers: free, or about a thousand dollars.
Both numbers are real. Neither one was built for an AI product.
A privacy policy for an ordinary website explains cookies, contact forms, and analytics. A privacy policy for an AI product has to explain what happens to prompts, uploads, and outputs, whether any of it trains a model, which model providers receive it, and how long it lives in logs and embeddings. And because regulators treat a privacy policy as a set of promises, every one of those answers has to be true.
SaaS AI Lawyer Andrew S. Bosin, a two-time SaaS founder, hears this question on almost every first call, usually right after the Terms of Service question. This article explains what an AI privacy policy actually costs, what drives the price, and what a flat fee should include.
For what the document itself must say, see Andrew’s page on AI privacy policies for artificial intelligence companies. For the companion document, see what an AI Terms of Service costs. This article is about the price of the privacy policy.
Quick Answer
An AI privacy policy can cost anywhere from nothing to several thousand dollars, depending on who drafts it and what your product does with personal data:
- Generators: free to roughly $10–$15 a month. Termly, for example, has a free plan and paid plans in that range, according to third-party pricing comparisons. A generator produces a document from a questionnaire. It doesn’t check whether the answers match your data flows.
- Marketplace lawyers, generic privacy policy: Contracts Counsel reports an average flat fee of about $970 to draft a privacy policy and about $1,130 for a Terms of Service and privacy policy together. Those averages cover all kinds of businesses, most of which use no AI at all.
- Hourly billing at a tech-focused firm: rates commonly run $400–$600 an hour, so the total depends on how long it takes to map your data flows and draft the AI-specific disclosures. Ask for an hours estimate before you start.
- Flat-fee AI SaaS counsel: Andrew usually drafts the privacy policy as part of a fixed-fee package. His AI SaaS package runs $5,500 to $7,500 and includes the privacy policy, Terms of Service, customer subscription agreement, acceptable use policy, and cookie policy. AI products in healthcare run approximately $7,500 to $9,500.
The cheapest privacy policy is the one that turns out to be accurate. The most expensive is the one that promises something your product doesn’t do.
Why the $970 Average Doesn’t Fit an AI Product
A standard privacy policy covers the basics: what information you collect, why, who you share it with, how long you keep it, and how users exercise their rights.
An AI privacy policy needs all of that, plus disclosures a generic document never contemplates:
- Prompts, uploads, and outputs: what users type and upload, what the AI generates, and whether any of it is stored
- Training and model improvement: whether user data trains your model, a third party’s model, or nothing at all
- Model providers as recipients: which AI providers receive user data, and what they’re allowed to do with it
- Logs, embeddings, and retention: where AI data persists, including vector stores and conversation history, and how deletion works
- Automated decisions: whether the AI makes or informs significant decisions about people, and the notices and opt-outs that triggers
- Sensitive data: health, biometric, children’s, and financial information that users may submit whether you ask for it or not
Each of these requires a drafting decision tied to how your product actually works. That’s where the extra time, and the extra cost, comes from.
Andrew’s article on what adding AI costs you in legal fees covers the AI premium across the whole contract stack. The rest of this article focuses on the privacy policy.
What Drives the Cost of an AI Privacy Policy
Two AI startups can get very different quotes for “a privacy policy.” These are the factors that usually explain the difference.
1. What Your AI Actually Touches
The first question is what personal data passes through the AI. A tool that summarizes public web pages touches very little. A meeting assistant, a support chatbot, or a document-review tool touches whatever users feed it, which often includes other people’s personal data.
The more personal data flows through prompts, uploads, and outputs, the more the policy has to explain.
2. Your Training Position
If your model never trains on user data, the training disclosure is short.
If you want to train on user inputs, now or later, the disclosure has to be specific, made before the data is collected, and consistent with your Terms of Service and customer contracts. In January 2024, the FTC warned AI companies that it will hold them to their privacy commitments, including promises not to use data for training, wherever those commitments are made. Andrew’s guide to using customer data to train AI models explains why getting this wrong is expensive to fix.
3. Consumers or Businesses
Consumer-facing AI products carry the heaviest privacy policy burden, because the policy is the primary notice to the people whose data you collect.
B2B products are different. For data your business customers upload, you’re usually acting as their service provider or processor, and the obligations live mainly in your customer agreement and data processing agreement. Your privacy policy still covers your own website, your account holders, and any data you use for your own purposes. Andrew’s AI SaaS DPA guide covers the processor side.
4. Where Your Users Are
As of 2026, 20 states have comprehensive consumer privacy laws in effect, with Indiana, Kentucky, and Rhode Island joining on January 1, 2026. Each has its own thresholds, rights, and disclosure requirements, and a policy has to account for every regime that applies to your users.
Users in the EU add the GDPR’s transparency requirements, and AI products may also need EU AI Act disclosures. Andrew’s guide to navigating data privacy laws for SaaS companies covers the general framework.
5. Automated Decisions About People
This is the factor that changed most in 2026.
California’s updated CCPA regulations took effect January 1, 2026. Businesses that use automated decision-making technology to make significant decisions about California residents have until January 1, 2027 to comply with new ADMT rules. “Significant decisions” include decisions about lending, housing, education, employment, and healthcare.
Covered businesses must give a pre-use notice explaining the purpose of the ADMT and the consumer’s rights to opt out and to access information about it. The notice can be combined with the CCPA notice at collection, but a cookie banner alone won’t satisfy it.
If your AI scores applicants, screens tenants, routes patients, or ranks job candidates, budget for this work now.
6. Sensitive Data and Children
Health data, biometric data, and children’s data each bring their own rules.
The FTC’s amended COPPA Rule became fully enforceable on April 22, 2026. Among other changes, it adds biometric identifiers to the definition of personal information, requires separate parental consent for disclosures that aren’t integral to the service, and requires a written data retention policy. An AI product that processes voices or faces, or that children may use, needs a policy drafted with those rules in mind.
A healthcare AI product usually needs HIPAA analysis alongside the privacy policy, which is why Andrew’s healthcare AI package is priced higher.
7. New Document or Rewrite
Drafting from scratch and fixing an existing policy are different jobs. Updating a pre-AI privacy policy can cost less, unless the existing policy made promises your product no longer keeps. Then the question isn’t only what the new policy says. It’s what you can do with data collected under the old one.
The Hidden Cost: A Policy That Doesn’t Match Your Product
Founders tend to think of a privacy policy as a disclosure. Regulators read it as a list of promises.
The FTC treats a company’s failure to keep its own privacy promises as a deceptive practice. That means your privacy policy can be enforced against you even where no state privacy law applies.
State enforcement is following the same logic. In July 2025, California’s Attorney General announced a $1.55 million settlement with Healthline Media, then the largest CCPA penalty to date. One of the core allegations was a violation of the CCPA’s purpose limitation principle: using personal information for purposes consumers wouldn’t have expected when it was collected. The settlement also faulted vendor contracts that allowed data use for vague, catch-all purposes, according to analysis of the settlement.
For an AI startup, purpose limitation is the training question in another form. If your policy says data is used “to provide the service” and your team quietly starts using it to improve the model, the policy and the product no longer match.
The Other Hidden Cost: Changing the Policy Later
The usual founder plan is to launch with a simple policy and update it when the product grows.
That works for most changes. It doesn’t work well for training. In February 2024, the FTC warned that quietly changing a privacy policy or Terms of Service to start using consumer data for AI training could be unfair or deceptive. A retroactive update generally can’t authorize training on data collected under the old promise.
Andrew’s guide to getting training consent that holds up explains how to build that consent in from the start. The cost of a privacy policy that addresses training on day one is small. The cost of fixing one later can include retraining a model.
Generator, Template, or Lawyer?
Each option has a place.
A generator may be enough if:
- The product doesn’t use AI to process user data, or the AI never sees personal information
- You collect little beyond account details and basic analytics
- You’re validating an idea and will replace the policy before launch
An AI-specific privacy policy is worth paying for if:
- Users submit prompts, documents, recordings, or images to an AI feature
- You want to train on user data, now or later
- Your AI makes or informs decisions about people in hiring, lending, housing, education, or healthcare
- Your product processes health, biometric, or children’s data, or may receive it from users
- You sell to businesses whose procurement and security teams will read your policy
- You plan to raise money (investors’ counsel will read it too)
A generator asks what you collect. A lawyer asks what actually happens to it, then writes a policy that matches.
What a Flat Fee for an AI Privacy Policy Should Include
Before you compare quotes, confirm what each one covers. A complete AI privacy policy engagement should include:
- A call to understand the product, the AI features, the users, and the data flows
- A map of what personal data passes through prompts, uploads, outputs, logs, and embeddings
- Review of your model providers’ data terms, so your policy describes what they actually do with user data
- A clear, specific training disclosure that matches your Terms of Service and customer contracts
- Disclosures for the state privacy laws, GDPR, and sector rules that apply to your users
- ADMT notice analysis if your AI makes or informs significant decisions
- Retention and deletion language that your engineering team can actually carry out
- Alignment with your Terms of Service, acceptable use policy, and cookie policy
- All revisions and all calls and emails during the engagement, without extra charges
Watch for flat fees with an hours cap or a limited number of revision rounds in the fine print. A “flat fee” that converts to hourly billing after two rounds of changes isn’t flat.
How Andrew Prices an AI Privacy Policy
Andrew charges a fixed fee, paid up front, and the fee covers all time spent drafting and revising, plus every call and email. Unless the scope of the project changes substantially, there are no additional charges.
Because the privacy policy and the Terms of Service have to say the same thing about data, Andrew usually drafts them together as part of a package:
- AI SaaS legal package: $5,500 to $7,500. Privacy policy, Terms of Service, customer subscription agreement, acceptable use policy, and cookie policy.
- SaaS AI healthcare package: approximately $7,500 to $9,500. The AI SaaS package plus HIPAA-focused advice.
- SaaS package with no AI feature: $4,500 to $5,500. Privacy policy, Terms of Service, and customer subscription agreement.
If you only need an AI privacy policy, or a review of an existing one, Andrew will quote a fixed fee after a short call about the product.
For how flat-fee pricing compares with hourly billing more broadly, see why AI startups prefer flat-fee legal services and how much an AI startup lawyer costs.
Questions to Ask Before You Hire Anyone
- Is this a flat fee or an estimate? What’s excluded?
- Is there a cap on revisions, calls, or hours?
- Will you map our AI data flows, or draft from a questionnaire?
- Will you review our model providers’ data terms?
- Does the fee include the Terms of Service, or is that separate?
- Will you tell us whether California’s ADMT rules apply to our product?
- How quickly will you respond when we have a question?
Frequently Asked Questions
How much does an AI privacy policy cost?
It ranges from free (a generator) to several thousand dollars (AI-specific drafting by a tech lawyer). Marketplace averages for drafting a generic privacy policy are around $970, but those figures cover ordinary websites, not AI products. Andrew drafts AI privacy policies as part of fixed-fee AI SaaS packages of $5,500 to $7,500, which include the Terms of Service, subscription agreement, acceptable use policy, and cookie policy.
Why does an AI privacy policy cost more than a regular one?
Because it has to explain things a regular policy doesn’t: what happens to prompts, uploads, and outputs, whether user data trains a model, which AI providers receive data, how long it persists in logs and embeddings, and whether the AI makes decisions about people. Each answer depends on how your product actually works.
Can I use a free privacy policy generator for an AI app?
For a prototype where the AI never touches personal data, possibly. For a product where users submit personal information to an AI feature, a generator usually leaves gaps in training disclosures, model-provider sharing, and retention, and it can’t check whether its answers match your data flows.
Do I need a separate privacy policy for my AI features?
Usually not a separate document, but your existing policy needs AI-specific sections. What matters is that one policy accurately covers everything the product does, including the AI.
Does California’s ADMT rule apply to my AI startup?
It applies to businesses subject to the CCPA that use automated decisionmaking technology to make significant decisions about California residents, such as decisions about lending, housing, education, employment, or healthcare. Compliance is required by January 1, 2027. Many AI products fall outside it, but products that score, screen, or rank people often fall inside it.
How often should an AI privacy policy be updated?
Whenever the product’s data practices change: a new AI feature, a new model provider, a decision to train on user data, a new category of data, or a new market. Material changes should be communicated clearly and, for training, usually require fresh consent rather than a quiet update.
Get a Fixed Fee for Your AI Privacy Policy
Andrew S. Bosin is a New Jersey technology attorney and two-time SaaS founder who represents AI and SaaS startups nationwide on a flat-fee basis. He drafts AI privacy policies, Terms of Service, and subscription agreements based on how your product actually uses data, so your policy stands up to users, regulators, enterprise customers, and investors.
He personally drafts every agreement, gives every client his personal cell phone number, and responds quickly.
Andrew S. Bosin LLC
36 Highland Road, Glen Rock, NJ 07452
📞 (201) 446-9643
📧 andrewbosin@gmail.com
🌐 www.njbusiness-attorney.com
Call for a consultation. Flat-fee legal services for AI and SaaS startups, nationwide.
This post is provided for general informational purposes and does not constitute legal advice. Attorney Advertising.
#AISaaSLawyer #AIStartupLawyer #BestAISaaSLawyer #AIPrivacyPolicy #FlatFeeLawyer #AILegalCosts #DataPrivacy #StartupLaw