If anyone in your business has used ChatGPT to draft a client email, asked an AI tool to generate a social media image, or fed customer data into an automated system, your firm is already exposed to a set of legal risks that most small business owners have not yet thought about.
Legal experts are warning that 2026 is the year when AI-related liability stops being a theoretical concern and starts showing up in real disputes. The risks range from the obvious, copyright infringement when AI tools reproduce protected material, to the subtle, such as data privacy breaches triggered by employees pasting sensitive information into third-party AI platforms without realising where that data ends up.
Copyright sits at the heart of the problem. Generative AI systems are trained on vast quantities of text, images and code, much of it protected by copyright. When those systems produce outputs that closely resemble the material they were trained on, the question of who is liable, the AI provider, the user, or both, remains legally unresolved. The Getty Images case against Stability AI brought the issue into sharp focus, and while the UK government decided in March to step back from a broad copyright exception for AI training, the legal grey areas have not gone away.
For a small business using AI to produce marketing copy, design assets or website content, the practical risk is real. If an AI-generated image turns out to contain elements of a copyrighted work, it is the business that published it, not the AI tool, that is most likely to face a claim.
Data privacy is equally treacherous territory. Every time an employee enters customer details, commercial data or personal information into an AI chatbot, that data may be processed and stored by a third party in ways that breach UK data protection rules. The Data (Use and Access) Act 2025 has relaxed some requirements around automated decision-making, but the core obligations around consent, transparency and data minimisation remain firmly in place.
Then there is the problem of AI hallucinations, the tendency of large language models to produce confident-sounding but entirely fabricated information. A Microsoft-powered chatbot was recently found to have given incorrect legal guidance to business owners. If a small firm relies on AI-generated advice to make a commercial or regulatory decision and that advice turns out to be wrong, the consequences could be severe.
The common thread running through all of these risks is governance, or rather the lack of it. Many small businesses have adopted AI tools on an ad hoc basis, a staff member signs up for a free trial, another starts using a chatbot for research, without any formal policy on what is and is not acceptable use. Legal advisers describe this as a ticking time bomb.
The fix does not have to be elaborate. A short, clear AI usage policy that sets out which tools staff may use, what data they may input, and what human review is required before AI-generated content is published or acted upon will cover the vast majority of risks. For businesses in regulated sectors, a more detailed governance framework may be needed, but for most small firms, common sense and a written policy will go a long way.
The pace of regulatory change makes this a moving target. New rules can apply across jurisdictions and, in some cases, retrospectively to systems already in use. Small businesses that fail to keep an eye on developments risk falling foul of laws they did not know existed. Staying informed, or having an adviser who is, has become a necessary cost of doing business in the AI age.
