Legal Framework for AI Startups Seeking Funding

Summary

• UK AI companies face complex legal risks across intellectual property, data protection, and AI governance that can affect their ability to attract investment.
• Investors carry out detailed due diligence on how AI systems are developed, trained, deployed, and commercialised, so gaps in these areas can reduce funding opportunities.
• Preparing corporate, IP, data protection, and commercial documentation early helps businesses present a strong, investment-ready legal foundation.
• This is a plain-English guide explaining the key legal considerations for UK AI businesses preparing for investment.
• LegalVision’s business lawyers specialise in advising clients on legal preparation for AI investment readiness.

Tips for Businesses

Review your corporate filings, cap table, IP ownership, and data protection compliance before approaching investors. Ensure contractor agreements assign IP rights, contracts address data use and liability, and AI systems have documented human oversight, bias testing, and monitoring processes to support a smooth due diligence process.

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On this page

• Why Should You Prepare Early for Investment?
• Considering Your Corporate Structure
•  Understanding Your AI Systems
• Protecting Your Intellectual Property
• Understanding Your Data Obligations
• Using AI Responsibly
• Prioritising Strong Contracts 
• Key Takeaways
• Frequently Asked Questions

AI businesses operating in the UK are growing and attracting significant investor attention. However, since these companies are often more complex than traditional tech startups, legal risks or gaps can make investors hesitant. They could also reduce possible business funding opportunities. 

AI startups should begin preparing early when seeking funding. Investors look closely at many legal issues, especially in high-risk fields like AI. In practice, investors are increasingly structuring their questions in AI transactions around AI-specific considerations. For example, they may review bespoke issues around how AI systems are:

• developed; 
• trained; 
• deployed; and 
• commercialised. 

This article highlights a simplified introduction to some key legal areas to consider to set up a strong framework before seeking investment. This is a highly complex and developing area, so it is important to seek legal advice specific to your business. 

Why Should You Prepare Early for Investment?

Business founders should consider legal matters to ‘get their house in order’ long before seeking investment, as this can help handle potential issues proactively and mitigate risk.

Early legal preparation can help you present your business in a positive light to investors, and tackling legal issues from the outset can prevent risks from affecting investment potential and reassure investors. AI founders should be ready to answer detailed due diligence questions about:

• the type of AI used;
• the company’s role in the AI value chain; and
• the governance measures they have implemented.

Considering Your Corporate Structure

Investors will want to see that your company is built on a solid foundation. As such, you should make sure your Companies House filings are accurate and up to date. Your cap table must be current and show all issued shares. 

 Understanding Your AI Systems

Experienced investors will ask detailed questions about your AI systems. They will often want to know: 

• what kind of system you have; 
• if it uses machine learning or rules; and 
• what it can do.

Each of the roles in the company will raise its own legal considerations. Investors will look into this, such as whether you: 

• develop; 
• offer; 
• deploy; or
• distribute the system. 

Your risk level can change if you use third-party models or let others use your model. Internal tools may be viewed as less risky than automated systems that deal with customers. 

It is also important that you can demonstrate compliance with your AI technology, with key principles, such as: 

• safety; 
• transparency; 
• fairness; and 
• accountability.

Protecting Your Intellectual Property

For most AI companies, intellectual property is often the foundation of business value. Investors will want clear proof that you own your:

• source code; 
• model designs; 
• algorithms;
• training processes; and 
• other technical assets.

If third-party contractors, consultants or partners created any intellectual property, it might not belong to your company. You will need to have evidence of appropriate written agreements to transfer ownership of the rights to your business. 

Intellectual property created by employees in the course of employment generally vests in the employer, but this automatic rule does not apply to independent contractors and third-party collaborations.

Investors may expect to see evidence of any formal IP protection strategy, such as: 

• patent filings where applicable; 
• trademark registrations; 
• database rights claims; or 
• documented trade secret protections. 

Even where your technology is not patented, you should be able to demonstrate how confidential know-how is safeguarded.

You must consider who owns the outputs and the risk of infringement when generative systems produce outputs, such as: 

• text; 
• images; or 
• reports. 

Training in the UK can raise copyright issues if protected works are copied without a licence. Any AI training activities require you to carefully assess intellectual property rights issues, and you should take legal advice if you are unsure. 

Understanding Your Data Obligations

Investors are likely to focus on the origins of your AI data, including training data. They will likely want to know: 

• what data you used; 
• its source; 
• how you obtained it; and 
• why you need it. 

If training data includes personal data, compliance with the UK GDPR and the Data Protection Act 2018 is fundamental. 

You should consider whether your company is a data controller or a data processor, as this distinction is vital and affects your legal duties and risks. 

You will likely need to conduct data protection impact assessments for AI systems, especially when profiling or automated decisions have a significant impact on people. If your systems present a high risk, you may need to consult the Information Commissioner’s Office first. 

Investors will also expect you to explain global data flows clearly, including where you host, train and deploy systems, and how you comply with UK transfer requirements for international data transfers.

Using AI Responsibly

When AI systems make important decisions that affect people, you need to be especially careful and human review should be genuine to avoid legal problems. Businesses should: 

• clearly explain automated decisions; 
• allow people to challenge them; and 
• ensure humans are involved when needed. 

Investors may check whether your automated systems: 

• have adequate oversight; 
• keep logs; and 
• allow people to appeal decisions. 

They may also ask about your bias testing, fairness checks, and how you measure algorithm impact. Technical risks can cause legal problems. If your model drifts, it may become less accurate, leading to unfair results. Generative systems can sometimes produce false or misleading results. These mistakes can lead to legal claims and harm your reputation. 

Investors will want proof that you: 

• monitor your model’s performance; 
• keep track of versions; 
• check for bias; and 
• have ways to fix mistakes. 

Prioritising Strong Contracts 

Your contracts should make it clear how you manage risk. Customer agreements need to: 

• cover who owns the outputs;
• limit liability; 
• address intellectual property risks; and 
• set rules for using data.

If you use any customer prompts or data to retrain or improve your models, your contracts should clearly allow this. Investors will expect you to make sure this use matches your: 

• data protection statements; 
• legal reasons for processing; and 
• confidentiality duties.

Investors will review how your documents are organised. You can accelerate the investor review process if you have a structured approach with clear and correctly drafted: 

• corporate; 
• IP; 
• data protection; and 
• commercial documents.

Overall, focusing on key legal issues and preparing a strong foundation will put your business in a better position when approaching investors and during due diligence.

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Key Takeaways

AI businesses have to deal with many complex issues, such as intellectual property, data protection, and sector-specific regulations. These challenges can lead to many investor questions and concerns during funding discussions. Undertaking a structured legal review before fundraising can help you identify and address legal issues and prepare your business. Strong preparation can show that your business is mature and helps ease investor worries. This is especially important for AI companies, which are often seen as high-risk.

LegalVision provides ongoing legal support for businesses through our fixed-fee legal membership. Our experienced business lawyers help businesses manage contracts, employment law, disputes, intellectual property, and more, with unlimited access to specialist lawyers for a fixed monthly fee. To learn more about LegalVision’s legal membership, call 0808 196 8584 or visit our membership page.

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