Legal Risks of Using AI in Business in Ukraine: What Owners Need to Know

Business owners expect AI to save time and money—not create new legal problems. But if you don't understand how data protection, copyright, and liability rules apply, a useful tool can turn into a fine or lawsuit. This article breaks down the key legal risks for Ukrainian companies using AI in 2026 and what you can do to reduce them.

Definition: Data Confidentiality

You must protect clients' and employees' personal data under Ukraine's Law «On Personal Data Protection». If an AI tool accesses such data without a legal basis—it's a violation.

Definition: Copyright on AI-Generated Content

Ukrainian law doesn't clearly state who owns text, images, or code created by AI. Using such content without a license may trigger claims from owners of the training data.

Definition: Liability for Harm Caused by AI

If AI makes a decision that causes damage (e.g., wrongly denying a loan), who is liable—the company, the vendor, or nobody? Ukrainian law hasn't yet regulated this.

What Data You Must Not Send to External AI Services

The first risk: transferring personal or commercial secrets to cloud AI services without sufficient legal grounds. Ukraine's data protection law requires that processing such data be based on the subject's consent or another legal basis. Uploading your client list to an external chatbot for a quick suggestion could break the law.

To reduce risk:

1. Identify which data truly needs AI. Often, anonymized or aggregated metrics are enough.
2. Check vendor terms: do they guarantee your data won't be used to train their models?
3. Consider local or self-hosted models if data is highly sensitive.

Who Is Liable If AI Makes a Mistake

The second risk: undefined liability. For example, an HR AI agent miscalculates payroll, or a support bot gives incorrect advice per a contract. Ukrainian law doesn't clearly state whether liability falls on the company using the tool or the vendor that built it.

In practice, courts often look at who controlled the tool's use and whether risk-reduction measures were implemented. So it's important to:

• Document internal AI usage procedures (policy, instructions, change log).
• Include liability clauses, insurance, and claims mechanisms in vendor contracts.
• Test AI on real data before production and document results.

How to Avoid Copyright Problems

The third risk: using generated content that may infringe others' rights. For example, AI creates an image resembling a competitor's logo, or text that repeats phrases from closed sources.

To reduce risk:

• Don't use AI-generated content commercially without verifying vendor guarantees on output rights.
• For marketing materials, create reports detailing what data was used for generation and retain them as proof of good faith.
• Consider tools trained on open or licensed data (e.g., models with explicit output rights statements).

Briefly on Internal AI Use Policy

One of the most effective ways to reduce risk is having a simple but mandatory AI use policy in your company. It doesn't need to be long—it just needs to answer three questions:

1. What data can be uploaded to external AI services, and what cannot.
2. What types of tasks can be assigned to AI (e.g., drafting, but not final decisions).
3. Who is responsible for checking results before use in work.

Such a policy helps demonstrate good faith if a dispute arises. You can create it in one day with a lawyer and IT manager.

How This Works on Our Side:

Our corporate intensive for teams includes real-world legal issue breakdowns that arise when companies use AI. Participants learn to identify which data is safe to share, how to evaluate vendor contracts, and what should be in an internal policy. Each participant gets technical brief templates and access to recorded lessons for 12 months. Starts with a free 30-minute consultation where we analyze one real company task. https://course.aiadvisoryboard.me/corporate?utm_source=blog&utm_medium=article_body&utm_campaign=corporate

FAQ

Is client consent required to use their data in AI? Yes, if it's personal data and you plan to send it to an external service for processing. Consent must be informed, specific, and revocable.

Can a company be liable for AI errors if it's just using a ready-made service? Yes, if the company controlled how and for what purposes the tool was used and failed to implement risk-reduction measures (e.g., didn't verify results).

Do employment contracts need updating due to AI use? Recommended: update internal policies or add an addendum on AI use limits, confidentiality, and liability for results to avoid misunderstandings.

Conclusion

Legal risks of using AI in Ukraine are real but manageable. Start by auditing what data your tools use and consult a lawyer to confirm compliance. Tomorrow, try making a list of three data types your company sends to external AI services and mark which need extra review.