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How to Use AI in Your Business Without Creating Legal Risk.

Writer: Robert Fojo
Robert Fojo
Jun 22
3 min read
A professional reviewing AI-generated text against a document.


I sit at an unusual intersection — a former attorney who also advises businesses on adopting AI — and it gives me a vantage point most enthusiasts and most skeptics don’t have. The enthusiasts see only the productivity upside. The skeptics see only the danger. The reality is that AI is a genuinely useful tool that also creates genuine legal exposure, and the businesses that thrive with it are the ones that capture the first while managing the second. Here are the risks I’d want any business owner to understand before leaning on these tools, along with the practical guardrails.


The first and most common risk is confidentiality and data leakage. When you paste information into a public AI tool, you may be sending it to a third party, and depending on the tool and its settings, that data may be retained or used. If what you paste includes customer information, confidential business data, trade secrets, or anything covered by a confidentiality obligation, you may have just created a breach — of a contract, of a privacy law, or of a duty you owe someone. This is the mistake I see most often: an employee, trying to be efficient, drops sensitive material into a consumer AI tool without a thought. The guardrail is straightforward: understand what tool you’re using and its data practices, use business or enterprise versions that offer data protection and don’t train on your inputs, and set a firm rule that confidential or personal data doesn’t go into public tools. Treat an AI prompt box like a postcard unless you’ve confirmed otherwise.


The second risk is accuracy, and the liability that flows from acting on wrong output. AI tools produce confident, fluent answers that are sometimes simply incorrect. If you make a business decision, publish a claim, or give a customer information based on AI output you didn’t verify, you own the consequences — the tool doesn’t. In areas where being wrong is costly — anything legal, financial, medical, regulatory, or safety-related — unverified AI output is a liability waiting to happen. The guardrail: treat AI output as a fast first draft to be checked by an accountable human, never as a final answer in any high-stakes context. Speed on the draft, rigor on the review.


The third risk is intellectual property and ownership. Questions about who owns AI-generated content, and whether AI output might inadvertently resemble protected material, are genuinely unsettled and evolving. If your business is using AI to generate content you intend to own, protect, and rely on commercially, that’s an area to approach thoughtfully rather than assume. Don’t build a core brand asset on the assumption that AI output is automatically yours to protect the way original work would be.


A fourth risk area is privacy and regulatory compliance. If you operate anywhere with privacy laws governing how you collect, use, and share personal data — and most businesses now do — running that data through AI systems can implicate those obligations. And if you’re considering AI for sensitive functions like hiring or lending decisions, be aware that using it in ways that produce discriminatory outcomes can create serious legal exposure, regardless of intent. These are areas to move into deliberately, with awareness of the rules that apply to you.


Finally, contracts and vendors. When you adopt an AI tool or service, the terms matter: what the vendor can do with your data, who bears responsibility if something goes wrong, what you’re indemnified for. As with any contract — and I’ve written about this before — the terms are where the risk lives, and they’re worth reading before you integrate a tool deeply into your operation.


None of this is an argument against using AI. I advise businesses to use it, because the productivity gains are real and the businesses that refuse to engage will fall behind. It’s an argument for using it like an adult: understand where the exposure is, put simple guardrails in place, keep a human accountable for anything that matters, and don’t let the convenience of the tool override the judgment that protects you. Used that way, AI is leverage. Used carelessly, it’s a liability you didn’t see coming. The difference is entirely in how you adopt it.


Want to put AI to work in your business without creating exposure?


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