Private equity and portfolios
Data privacy reps in purchase agreements: AI training questions buyers now add
By SourceX Editorial · Reviewed by Noah Loul ·
Short answer
Buyers now add AI training questions to the data privacy representations in purchase agreements. Four categories cover most of them: lawful collection and notice, permitted AI use, no prior unauthorized licensing or disclosure, and vendor terms. A rep is only as useful as the evidence behind it, so request documents that support each statement before signing.
Key takeaways
- Test lawful collection reps against the privacy notices and consents in force when the records were collected, not only the current notice.
- A permitted AI use rep should separate the company's own use of records from disclosure or licensing to third parties.
- A no prior licensing rep should reach data licenses, research shares and records sent to AI vendors under training-permissive terms.
- Vendor terms reps matter because AI features in business software may process target records under defaults nobody chose.
- Disclosure schedules, knowledge qualifiers and special indemnities decide how much protection a rep actually gives.
Why are buyers adding AI training questions to privacy reps?#
Buyers are adding AI training questions because traditional privacy reps were written for collection, security and breach, not for whether records can be used to build models. A target's records may matter for its own AI features, for licensing to AI developers, or for a sponsor's plans across a portfolio, and each use depends on rights the older reps never addressed.
For a sponsor or holdco general counsel, reps do two jobs: they allocate risk if a statement proves wrong, and they force the seller to disclose facts before signing. The second job is often worth more. A seller asked to represent that no company data has been licensed for AI training will search its own records before it signs.
The four rep categories and the evidence behind each#
The four rep categories below cover most AI training questions. Counsel drafts the wording deal by deal; the evidence column lists what a buyer can request in diligence to test each statement before relying on it.
Published provenance standards can help structure the request. The Data and Trust Alliance's Data Provenance Standards, for example, include Use elements for confidentiality classification, consent documentation location, license to use and intended data use, which map closely onto the questions these reps raise.
| Rep category | What it typically addresses | Evidence to request |
|---|---|---|
| Lawful collection and notice | Personal information was collected in line with applicable law and the company's own notices | Privacy notice history with dates in force, consent records, call recording disclosures |
| Permitted AI use | The company holds the rights needed for its current and planned AI uses of its records | Customer contract templates, negotiated data clauses, terms of service, an internal AI use inventory |
| No prior unauthorized licensing or disclosure | Company data has not been licensed, sold or disclosed for AI training except as scheduled | Data licenses, data sharing and research agreements, sharing logs |
| Vendor terms | Vendors processing company records have no right to train on them, except as scheduled | Vendor agreements, AI feature settings, opt-out records for each system |
Lawful collection and notice#
Lawful collection reps need the history of what people were told, not just today's notice. Request every version of the privacy notice, the dates each was in force, and the consents or disclosures used for call recording, marketing and product telemetry.
Laws such as CCPA and GDPR may apply depending on where customers and employees are and what the company collects, and other state privacy laws may add requirements of their own. Which ones apply is assessed deal by deal with counsel. Test the rep against the records the company actually holds, which a current system register makes possible.
Permitted AI use#
A permitted AI use rep should separate two rights: the company's right to use records for its own products and operations, and its right to disclose or license records to third parties. Customer contracts often allow the first in narrow terms, such as improving the service, and say nothing about the second.
Ask the seller to list current and planned AI uses, then test each against contract language. Where the target relies on aggregated or de-identified data clauses, request the clause and a description of how de-identification is done. Automated detection tools help but are not complete; one widely used open-source tool's own documentation warns there is no guarantee it will find all sensitive information and that additional systems and protections should be employed. Ask whether human review was part of the process.
No prior unauthorized licensing or disclosure#
The no prior licensing rep asks whether the target's records have already left the company for AI purposes. That covers formal data licenses and research partnerships, and also records sent to AI vendors whose terms allowed training, and bulk exports staff loaded into outside AI tools.
Prior disclosure matters to a buyer for two reasons. It can create obligations the buyer inherits, such as exclusivity or audit rights, and it can reduce the value of the records if the buyer later plans to license them. Request the following for every prior arrangement.
- Each data license and data sharing agreement, with amendments, term, exclusivity and field of use.
- Research or pilot agreements with AI developers or universities.
- Records of bulk exports to outside tools, contractors or advisors.
- Deletion confirmations for arrangements that have ended.
Vendor terms#
Vendor terms reps cover the help desks, CRMs, call platforms, notetakers and field service tools that process the target's records. Some vendors' terms permit use of customer data to improve their AI unless an admin opts out; others prohibit it. The answer sits in each contract and each admin console.
Request the vendor list with contract owners and, for every system holding customer or employee records, the AI feature settings and the date they were last reviewed. Where the target cannot produce settings, the rep may need a knowledge qualifier or a disclosure, and the gap becomes a post-closing action item.
How schedules, qualifiers and indemnities change a rep#
A rep's protection depends on the terms around it. Disclosure schedules carve known items out of the rep, knowledge qualifiers limit it to what named people knew, and materiality qualifiers raise the bar for a breach. A broad AI rep with a long schedule and a knowledge qualifier may protect far less than it appears to.
Buyers sometimes negotiate a special indemnity for specific known data issues, and representation and warranty insurance may exclude known matters or certain privacy risks. These points are negotiated deal by deal, and the outcome turns on counsel's drafting and the insurer's terms.
Where a target licensed records through SourceX, each package carries a SourceX Evidence Packet recording provenance, licensing rights, permitted use, the privacy record and release authorization. That single document answers most of the evidence requests above for the licensed records, though the rest of the company's records still need their own review.
Illustrative: a holdco general counsel tests the reps#
Illustrative: a fictional software holding company is acquiring a scheduling product for commercial cleaning companies. The holdco general counsel adds the four rep categories to the draft purchase agreement and sends a matching evidence request with the first diligence list.
The evidence changes the deal. The seller's privacy notice history shows a period when no notice was posted. A schedule discloses a pilot under which support tickets were shared with a model developer, with no deletion confirmation on file. The vendor list shows an AI notetaker on sales calls with training permitted by default.
The parties agree a specific disclosure for the notice gap, a closing condition requiring written deletion confirmation from the pilot partner, and a post-closing covenant to change the notetaker settings. The holdco's later licensing plans for the product leave out the records covered by the old pilot.
Frequently asked questions
Are AI training reps standard in purchase agreements now?
They are increasingly common but not standardized. Wording varies by buyer, target and counsel, and many deals still rely on general privacy and IP reps. Buyers with AI plans for the target, or targets with valuable records, tend to negotiate specific language. Ask counsel what fits the deal rather than relying on claims about market standard.
Do these reps apply in an asset purchase or carve-out?
Similar questions arise, but the drafting differs. In an asset purchase the buyer acquires specific records and contracts, so the reps focus on the transferred assets and the right to transfer them. A transition services agreement may also govern access to records that stay with the seller for a period.
What should a seller do if it cannot confirm vendor AI settings?
Disclose the gap rather than give an unqualified rep. Collect what can be confirmed, schedule the systems that cannot be, and offer a post-closing covenant to review and change settings. Buyers generally prefer an honest schedule to a broad rep that later proves wrong.
How do AI reps interact with representation and warranty insurance?
Insurers review the diligence and may exclude known issues or specific privacy and data risks from cover. The scope depends on the policy and underwriting. Counsel should compare the AI reps with the policy's exclusions early, so the buyer knows which risks need a special indemnity or a price discussion.
Sources
- The Use group of the Data & Trust Alliance Data Provenance Standards includes elements for confidentiality classification, consent documentation location, privacy-enhancing technologies applied, allowed and excluded processing and storage geographies, license to use, intended data use, and copyright, patent and trademark status. Source
- Presidio's own documentation warns that because it is using automated detection mechanisms, there is no guarantee that Presidio will find all sensitive information. Consequently, additional systems and protections should be employed. Source
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