Is it safe to license your company data to AI?
It can be, if the scope is narrow, the most sensitive data never leaves, and the agreement says in writing what the buyer may do, for how long, and when copies are deleted. The risk is less about AI and more about an ordinary data transfer to a third party. Treat it like one.
What never leaves
In every deal we help with, these stay out, and we want the exclusions written into the agreement:
- Customer personal information. Names, contact details, account data, anything a customer gave you to serve them.
- Financial account data. Bank, card, brokerage and payroll accounts.
- Health information. We do not handle it at all. If your data includes health information (benefits, injury claims, clinical work), those systems are out.
- Secrets. Passwords, API keys and credentials. Rotate them anyway before any transfer.
- Data your contracts or the law restrict. Client-confidential work, privileged material, tax return information, export-controlled technical data.
How de-identification works, and where it fails
Buyers say they remove names, emails, phone numbers, account numbers and addresses before the data is used or shown to anyone else. Methods range from pattern matching to AI models that rewrite text. Two cautions:
- No method is perfect. At least one buyer we track says so plainly on its own site. Some identifiers will be missed, especially in free text.
- Context can identify people. A message about "the only accountant in our Tampa office" names someone without a name. Narrow scope is a better defence than clever filtering.
Employees
Internal email and chat are what buyers value most, and they are written by your staff. Before anything is shared, check that your handbook says company systems belong to the company, exclude HR, medical and compensation channels, and consider telling staff what is happening and why. It is their work history too.
Clients
If you hold information for clients (law, accounting, agencies, IT services), that information usually is not yours to license. Check engagement letters, NDAs and data processing agreements. Several buyers we track say client-held data is out of scope; your contracts may be stricter. See the industry guides for specifics.
Eight questions to ask a buyer before you sign
- 1
Exactly what is in scope?
Which tools, which workspaces or mailboxes, which date range. "All your Slack" is not a scope. Ask for a written list.
- 2
Is it exclusive, and for how long?
Exclusivity stops you licensing the same data to anyone else. If a buyer wants it, it should say for how long and pay for it.
- 3
When is our data deleted, and how do we know?
Get a deletion date in writing and a certificate of deletion. Ask whether models trained on the data must be deleted too; usually they are not.
- 4
Who sees the raw data?
Before de-identification, someone sees names and content. Ask who (employees, contractors, which countries) and under what confidentiality terms.
- 5
How is personal information removed?
Ask for the method, the error rate they measured, and what happens if something is missed. No method is perfect, and good buyers say so.
- 6
Can the buyer resell or relicense it?
Some buyers use the data themselves; aggregators license it on to AI labs. Know which you are dealing with and whether you can veto end buyers.
- 7
Have you had a breach?
Ask about past security incidents, current certifications (for example SOC 2 Type II) and whether they will notify you of a breach involving your data.
- 8
How and when do we get paid?
One-time or revenue share, payment trigger (signing, delivery, acceptance), net terms, and what happens if data is rejected.
We are not a law firm and this is not legal advice. Have your own counsel read the agreement.
Questions
Is it legal to license company data to AI companies?
Generally, a company can license data it owns. The limits come from privacy laws, sector rules (such as tax-preparer confidentiality, HIPAA or export controls), your customer contracts and your own privacy policy. Those limits are why scope and exclusions matter more than price.
Do we need employee consent to license internal email and chat?
US law usually treats work accounts on company systems as company records, but rules vary by state and your own policies matter. Check what your handbook and acceptable-use policy say, and consider telling staff before anything is shared. Talk to your employment lawyer.
Is de-identified data really anonymous?
Not always. Researchers have shown that de-identified records can sometimes be re-identified when combined with other data. Treat de-identification as a strong safeguard, not a guarantee, and keep the most sensitive categories out entirely.
Can we license data about our customers?
Customer personal information should stay out. If your privacy policy did not tell customers their data might be licensed for AI training, the FTC has warned that changing terms quietly to allow it can be unfair or deceptive.
See which buyers fit your company
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