AI Reps and Warranties in Dutch M&A and VC Deals

AI risk should be translated into diligence, disclosure and governance — not only into broad warranty language

AI representations and warranties are transaction clauses that allocate risk around a target’s AI-related assets, data use, model development, third-party tools, customer claims, IP ownership and internal governance.

In Dutch M&A and VC transactions, AI is increasingly relevant to valuation, diligence and post-closing risk allocation. That does not mean every transaction has become an “AI deal”. It does mean that buyers and investors are asking more specific questions: what has the target built, trained, licensed, used, promised and documented, and how should that risk be allocated in the Dutch transaction documents?

For US and UK investors looking at Dutch targets, the issue is usually not whether AI risk matters. The real issue is how to paper that risk in a way that works in a Dutch BV structure, a Dutch disclosure process and a transaction package that may combine Dutch and international documentation.

This article is part of this website’s practical insights on AI & Dutch Transactions, Dutch M&A and Dutch VC financing.

AI risk is wider than software ownership

A common mistake is to treat AI risk as a normal software diligence point. Traditional software diligence asks whether the target owns or validly licenses its source code. AI diligence goes further.

The legal risk may sit in training data, fine-tuning rights, customer data use, third-party model dependency, open-source components, cloud infrastructure, contractor arrangements, prompts, model outputs, product claims or regulatory statements. Many Dutch targets do not build foundation models themselves. They use third-party models, APIs, external datasets or mixed human-machine workflows.

That creates a different risk profile. If the SPA or investment agreement only contains standard IP and IT warranties, important AI-specific issues may fall between the cracks.

How AI reps should be drafted

Broad AI warranties may look protective, but they often create avoidable negotiation friction. A better approach is to identify the actual AI risk categories and decide how each should be treated.

Some points belong in core warranties, such as ownership or valid use of AI-related IP, datasets and tools. Some points may require specific disclosure, such as known model limitations, third-party dependencies or customer claims. Other points may require operational covenants, such as board reporting, internal controls or restrictions on high-risk AI commitments.

In M&A deals, AI warranties should align with the SPA, disclosure letter, limitation regime and any specific indemnities. In VC deals, they should align with the investment agreement, shareholders’ agreement, information rights, reserved matters and founder undertakings.

This matters because Dutch BV documentation is flexible, but that flexibility must be used deliberately. A generic AI warranty is often less useful than a focused package of diligence, disclosure, warranties and governance controls.

Buyer and investor position

US and UK investors often start by requesting broad protections: compliance with law, valid use of AI assets, no infringement, no misleading product claims, no undisclosed dependency and reasonable safeguards.

That instinct is understandable. But for Dutch implementation, the drafting should stay connected to the actual business. A target that only uses third-party AI tools for internal productivity should not receive the same warranty package as a company whose core product depends on AI-generated output, proprietary model training or automated decision-making.

The strongest legal position usually comes from precision: what is material, what is known, what has been disclosed, what is operationally controlled, and what risk remains with the seller, founder or company.

Founder and target company position

Founders sometimes see AI-specific warranties as buyer-friendly drafting that should simply be resisted. That is usually the wrong approach.

A Dutch target that can clearly explain its AI use, data rights, vendor dependencies, development process and customer claims is often in a better position to narrow the warranties. Good preparation can reduce overbroad risk allocation. A clean AI story is commercially useful: it supports valuation, speeds up diligence and gives investors more confidence.

For founders, the practical question is not whether AI warranties can be avoided. The question is whether the company can disclose and document its AI position well enough to avoid giving warranties it cannot properly stand behind.

Practical conclusion

AI is no longer only a diligence topic. In Dutch M&A and VC transactions, it is increasingly a drafting, disclosure and governance topic.

For US and UK investors, the key task is to convert AI concerns into a focused Dutch implementation package: targeted diligence, realistic warranties, disciplined disclosure and governance rights that still make sense after signing, closing and future financing rounds.

FAQ

Are standard IP warranties enough for AI businesses?

Often not. AI businesses may raise additional questions around training data, third-party models, output rights, customer data use, open-source components and product claims.

Should AI risks be disclosed separately?

Yes, where the risk is material. Known AI dependencies, data restrictions, model limitations, customer commitments or licensing issues should usually be disclosed specifically rather than hidden in general data room disclosure.

Where should AI governance rights be documented?

Depending on the deal, AI governance can be addressed in information rights, reserved matters, board reporting obligations, founder undertakings, internal policies or post-closing covenants.

Is AI warranty drafting only relevant for AI companies?

No. It can also be relevant for software, SaaS, data-heavy, automated workflow, compliance, HR tech, fintech, healthtech and analytics businesses that use AI materially.

About Dirk de Waard

Dirk de Waard is a Dutch corporate, M&A and venture capital lawyer, partner at Venture Lawyers in Amsterdam, focusing on Dutch BV transactions, investor rights, governance and cross-border deal implementation. He advises investors, founders, management teams and companies on Dutch M&A, VC, PE and governance matters, including AI-related transaction risks.

Negotiating a Dutch M&A or VC transaction involving AI-enabled products, data-heavy workflows or investor-side AI protections?

Dirk de Waard helps US and UK investors, founders and deal counsel translate AI risk into workable Dutch diligence, warranty, disclosure and governance mechanics. Contact dirk.dewaard@viottalaw.com to align AI-related transaction risk with the SPA, investment agreement, shareholders’ agreement and Dutch BV governance package.