Venture Capital and AI: Legal preparation of the investment round

Venture Capital and AI: Legal preparation of the investment round Practical guide for AI startups and investors in Europe

Mainstream

An investment round in an AI startup is not just about getting money in exchange for a share. It is the structuring of relationships that will determine the fate of technology, team and product for years to come.

The key question is not how much the company is valued. The main question is whether the company is legally ready for the investment, and whether hidden risks will turn into fatal after the round closes.

Therefore, effective legal preparation of the round is based on three tests:

• Does the company have clean and secure intellectual property in AI technology?
• Does the business model and the data on which the models were trained comply with European regulations (GDPR, AI Act, Data Act).
• How much the corporate structure, team and contractual base are ready for the entry of a venture investor.

If these three blocks are not closed before the start of negotiations with the fund, the round can either fall apart at the finish line or pass on conditions imposed by the investor, with adjustments to price, liability and management.

When there is a need for legal preparation of the round

Legal preparation of an investment round is necessary if:

• The startup plans to pre-seed, seed, Series A or follow-up rounds in Europe or with a European investor.
• The investor has requested a comprehensive legal due diligence;
• the product is based on machine learning algorithms, generative AI, NLP, computer vision or other AI solutions;
• The team uses third party data or open-source components with limitations.
• the company is operating or planning to enter regulated EU markets (Med Tech, FinTech, HR, insurance, critical infrastructure);
• The AI solution is subject to the EU AI Act as a high-risk system.
• there is uncertainty about the identity of the code or models created by the founders before the registration of the legal entity;
• The capital already has business angels, government grants or strategic partners with special rights.

The mistake most founders make.

Many AI startups start with the following question:

How much are we worth and on what terms will we be given the money?

That's the wrong first question.

The right question is:

What legal risks will investors see and what needs to be eliminated to close the round on better terms without reevaluating the valuation and without losing control?

Sometimes the main obstacle is not business metrics, but the lack of IP transmission, GDPR mismatch in training data, or an unsecured model architecture that makes patenting impossible. Sometimes, it is not ready for the mandatory requirements of the AI Act, which the investor is not ready to take on without a deep restructuring of the product.

The round does not require a passive response to the fund’s requests, but rather a forward-looking legal architecture of the deal.

Step 1. Check the corporate structure and constituent documents

The first thing an investor learns is not the technology, but how the company is organized.

Key points of verification:

• Registration jurisdiction (in the EU, Luxembourg, the Netherlands, Germany, Estonia, Ireland are often chosen);
• the presence of a holding structure and the reasons for its choice;
• rights of different classes of shares/shares;
• powers of management bodies to attract investments;
• restrictions on the transfer of shares (preferential rights, consents);
• Employee Options (ESOP) and their legal status
• Corporate or shareholders’ agreement, if any;
• minutes of meetings and written decisions;
• Prohibition of blurring or anti-dilution rights;
• encumbrances of shares (deposits, options, convertible loans);
• Tax residency and IP ownership structure.

If a structure is created without considering future rounds, it may prove impassable for the fund. But this does not always mean failure – in many cases, a structure can be prepared and restructured before the investor enters.

Step 2. Checking Intellectual Property for AI Technology

For an AI startup, IP is not an additional asset, but the core of value itself.

You need to cook:

• Product chain: Idea → code → data → learning → model → inferencing → final solution;
• the source code and models;
• Agreements with developers and founders (assignment of IP);
• licenses for the use of frameworks, libraries, open-source components (especially copyleft licenses such as GPL);
• contracts with data providers;
• registration of patents, utility models, trademarks;
• Protection of know-how and confidential information;
• agreements with counterparties on the right to improvements (improvements);
• Commercialization policy of AI solutions;
• No infringement of third parties’ rights to data, algorithms and models.

Of particular value are documents confirming that key developers have transferred all rights to the legal entity created before registration and that model training has not affected other people’s databases without a legal basis.

Step 3. Conduct due diligence on AI regulation in the EU

EU law answers the question: Is it possible to legally market the product and what obligations will be borne by the company after the investment?

This has an impact on:

• AI system classification according to the EU AI Act (prohibited practices, high risk, limited risk, minimum risk);
• mandatory certification and conformity assessment;
• requirements for data management, transparency, human supervision;
• responsibilities for monitoring and reporting after placing on the market;
• Liability for algorithm errors;
• insurance and compensation mechanisms;
• requirements for documentation and maintenance of a technical file;
• the importer or distributor’s obligations if the company is not based in the EU;
• sanctions for non-compliance (up to EUR 35 million or 7% of global turnover – comparable to GDPR).

If the product is in an adjustable zone, a round without a ready-made compliance plan is virtually impossible. The investor will estimate not only the regulatory gap, but also the cost of closing it – and subtract that amount from the company’s valuation.

Step 4. Establishing relationships with the team and founders

People are the main risk and the main asset of an AI company. An investor will not invest in a project that key developers can leave without consequences.

It is necessary:

• Employment contracts or service contracts with full IP assignment;
• Founder vesting programs (gradual transfer of share rights over time, usually 4 years with cliff)
• Non-compete and non-solicit provisions;
• confidentiality agreements (NDA) and trade secret protection;
• Data and AI policies within the company;
• a plan to retain the team after the investment;
• mechanisms of compulsory redemption of shares upon the departure of the founder.

Incomplete relations with the team turn into negotiations with the fund into a lowering factor of evaluation or a condition for the closing of the round, requiring the signing of the necessary documents retroactively, which is not always possible.

Step 5. Analyze the contractual basis

In addition to corporate and IP-contour, the investor looks at commercial and operating contracts of the company.

Preparation is required:

• Data licensing agreements (data licensing agreements)
• contracts with clients (SaaS, API, corporate licenses);
• Privacy policy and terms of use;
• Service Level Agreements (SLAs)
• contracts with contractors, cloud providers, external AI services;
• state grant agreements (with special commercialization conditions);
• Commercial offers and memorandums of understanding (Mo U)
• history of claims and disputes.

Particularly important are the provisions on liability for AI errors, warranty obligations and loss limitation: The investor must understand what commercial risk has already been transferred to the counterparties.

Step 6. Determine the structure of the investment transaction

The legal preparation of the round is not limited to signing a term sheet. This is the design of the investor’s entry mechanism.

In Europe, it is common:

• direct equity (purchase of shares or shares);
• Convertible loan note with discount and/or valuation cap;
• SAFE (Simple Agreement for Future Equity) is less common in continental Europe, but is sometimes applicable.
• conditional increase in the authorized capital;
• A combination of equity and research grant (EIC Accelerator, etc.)

Each tool has different effects on:

• the blurring of the founders;
• corporate governance;
• rights in future rounds;
• tax consequences for the company and investors;
• the need for notarization;
• The possibility of returning investment if goals are not achieved.

Comparison table:

The choice of structure depends not on fashion, but on the specific business plan, round, regulatory jurisdiction and agreement of the parties.

Step 7. Prepare key round documents

Once the structure is defined, a package of investment documentation is prepared and agreed upon.

Main volume:

• term sheet (basic commercial terms and conditions);
• Shareholders’ Agreement (SHA) or Investment Agreement
• subscription agreement (subscription agreement for shares / shares);
• Updated Articles of Association/Articles of Association;
• Disclosure agreement (disclosure letter);
• consent to the processing of personal data;
• Corporate approvals (decisions of boards of directors/general meetings);
• Protocols on the issue of shares / shares.

The SHA records:

• rights to appoint directors;
• Protective provisions (veto rights) of the investor;
• The order of transfer of shares (drag-along, tag-along, ROFR);
• conditions of liquidation privileges;
• anti-dilution protection;
• Founder obligations (non-competition, IP transfer)
• Exit mechanisms and resolution of dead ends.

In AI transactions, representations and warranties are particularly critical in relation to data and models. No violations of the GDPR/AI Act, reliability of technical documentation and compliance with applicable standards.

Step 8. Ensure data protection and compliance

Data is the foundation of any AI product. The investor wants to make sure the startup hasn’t created value out of legally toxic material.

Be sure to check:

• legal grounds for data collection and processing (consent, legitimate interest, contract);
• GDPR compliance: Subject rights, cross-border transfer, DPA with processors;
• the legality of using publicly available data (web scraping) for model training;
• DPIA (Data Protection Impact Assessment) for high-risk AI solutions
• Compliance with the future Data Act (access to data generated by Io T, sharing obligations);
• • lack of incompatibility with industry requirements (e Health, Finance, Critical Infrastructure, NIS2)
• Cybersecurity Architecture and Certification (ISO 27001, SOC 2)
• Procedure for responding to incidents and notifying the regulator.

A startup that fails to show a Compliance-Based Data Room risks either losing an investor or being asked to delay the round closing for months to get the data in order.

Step 9. Assess export controls and sanctions risks

Many AI technologies are subject to dual-use and export controls, especially in the EU.

It should be checked:

• Classification of the AI product according to Regulation (EU) 2021/821;
• Does the technology require an export license?
• Whether restrictions on technology transfer to developers apply in certain countries
• the presence of sanctioned jurisdictional links;
• Open source components with export restrictions
• involvement of sanctioned persons at the level of beneficiaries or counterparties.

Violation of export control can lead not only to the blocking of the transaction, but also to the personal liability of the founders and directors.

Step 10. Prepare for negotiations and post-closure

A strong negotiating position with a venture fund comes when the founders themselves worked on legal risks before the investor put up a list of 150 requests.

After the round closes, an equally important phase begins:

• Execution of post-closing covenants (IP transfer, restructuring);
• Bringing corporate governance into line with the new SHA;
• Compliance with regulatory obligations to which assurances have been given;
• timely reporting to the investor;
• Preparation for future rounds and exits.

The round does not end on the day of the signing. Failure to execute a post-closure gives the investor the right to adjust the price, claim for damages or block the next tranche.

Typical AI startup mistakes in round preparation

1. Apply for an investment without a full IP assignment from the founders and the Investor team will find a gap in rights and either lower the valuation or delay the transaction.

2. Ignore the AI Act classification: Believing a product is not high-risk without professional analysis. Then there is the mandatory conformity assessment and delay in market entry.

3. Collecting data from open sources without analyzing legitimate interest and opt-out mechanisms is one of the main stop factors for EU investors.

4. The absence of vesting and clear IP assignment leads to the risk of leaving a key person with a share that cannot be returned.

5. Copyleft licenses can “infect” a commercial solution and destroy the monetization model.

6. Signing a term sheet without legal analysis of the term-shit does not oblige to complete the transaction, but forms a negotiating framework, from which it is difficult to leave.

7. Not considering the tax structure before receiving an investment, the investor’s entry can cause unexpected tax consequences for the founders personally.

8. Unpreparedness creates the impression of immaturity and deprives the startup of leverage over the conditions.

Checklist of AI startup founder before round

Before starting to attract investments, you need to answer 15 questions:

1. Did all the founders and developers give IP to the company?
2. Has an open source license been audited?
3. Is there a legal basis for all datasets used for training?
4. Does the product fall under the high-risk categories of the EU AI Act?
5. Is the technical file and conformity assessment plan ready?
6. Does the company comply with the GDPR (including cross-border data transfers)?
7. Are there any employment and service contracts with IP provisions?
8. Does vesting work for founders?
9. Is the corporate structure cleared of unnecessary elements?
10. Are there any encumbrances or claims by third parties over shares or assets?
11. Are NDAs and non-competes signed with key parties?
12. Is the transaction structure (equity/convertible) defined?
13. Is the Data Room compiled with key documents?
14. Is there a plan to address the risks identified before and after closing?
15. Who will protect the interests of the company in negotiations with the Fund and coordinate compliance?

What a strong legal preparation strategy for the round looks like

A strong strategy includes five levels:

1. IP & Data Foundation is a complete chain of rights for algorithms, models and data, ready for detailed due diligence.

2. Regulatory Readiness Classification by AI Act, GDPR, industry legislation and compliance roadmap, understandable to the layman.

3. Team & Corporate Hygiene Cleared corporate documents, vesting, employment IP agreements, protocols.

4. Deal Architecture: A well-thought-out deal structure, term sheet tactics, understanding the impact on future rounds and exits.

5. Negotiation & Execution Prepared position, ability to explain to the investor legal risks and ways to reduce them, rapid closing of post-closure.

Without the first three levels, the fourth and fifth levels will not produce a sustainable result. Without a fifth, even perfect preparation risks turning into poor conditions.

FAQ

How does the EU AI Act affect venture capital?

Directly. Investors check the product classification, estimate the cost of compliance and put risk into the valuation. An unprepared startup either loses investors or makes money on tough terms.

What's more important to an investor: Technology or purity of IP?

Both. The technology creates value, the purity of IP ensures that this value is truly owned by the company and protected from third-party claims.

Can a round be closed if the training data was collected without a clear legal basis?

Risky. Many funds will not go into a deal until the problem is resolved or a reasonable legal opinion is given about the legality of data processing with the minimization of claims.

SAFE or convertible loan: What to choose in the EU?

Convertible loans are more common in continental Europe, with established practices and predictable tax consequences. SAFE is used if a company plans to use Delaware flip or target American investors. The choice should be deliberate, not “because all startups do that.”

Do I need to register AI algorithm patents before the round?

No, but the patent strategy should be clear. Sometimes a combination of trade secrets, copyright and contract protection is enough. The absence of a patent application is not a stop factor if the protection of know-how is built correctly.

Can I prepare a round without outside lawyers?

Technically, yes. In practice, without a specialist in venture law and EU AI regulation, the founders risk missing out on critical gaps that will reoccur in the late stages or exits.

How long does the legal preparation for the round last?

From 2-3 weeks for quick validation and clearing of obvious gaps to 2-3 months for complex restructurings and data and IP tidying.

Related services

• Venture Capital, Private Equity & Corporate Transactions
• AI, Data & Digital Regulation (EU AI Act, GDPR, Data Act)
• Intellectual Property & Technology Protection
• Corporate Structuring & Reorganisations
• Cross-Border M&A and Joint Ventures
• Regulatory Compliance & Market Entry in the EU
• Commercial Contracts & Technology Licensing
• Export Controls, Sanctions & Dual-Use Compliance

Related material

• EU AI Act: Classification and Responsibilities for Startups and Investors
• GDPR and machine learning: How to legally use data to train models
• Intellectual Property in AI: How to Protect Before the Round
• Convertible Loan or SAFE: What to Choose for a European Startup
• Due diligence of the venture fund in the AI company: founder-list
• Vesting and repurchase of shares: Investor protection and team motivation
• Transfer of data across borders from the EU: practical guide
• How to Build an AI Startup Corporate Structure for the Future Round
• Data scraping and intellectual property: Legal Risks in Europe
• Export control of AI technologies: What to Know Before a Deal

Conclusion

The legal preparation of an investment round in an AI startup is not a formality at the end of negotiations, but the foundation on which the investor’s trust and the protection of the created value are built.

The founder’s strong position is formed before the foundation enters the Data Room: Proven corporate and IP hygiene, clear compliance roadmap with EU AI Act and GDPR, well-chosen transaction structure and documented team.

In the AI investment market, it is not the project with the best algorithm that wins, but the project that an investor can enter without the legal ticking of the clock mechanism. The winner is the one who has cleared the barriers to money, product and scaling in a regulated European environment.