AI is extraordinary. As I wrote not long ago, professionals who refuse to integrate these tools are already falling behind. AI compresses hours of research into minutes, drafts documents that used to take half a day, and surfaces insights that would otherwise stay buried. For lawyers, business owners, and entrepreneurs alike, the efficiency gains are transformational. If you are using AI thoughtfully in your practice or business, you already know this. If you aren’t, the people competing against you do.

But the part that doesn’t get enough airtime, and which should terrify you a little is that when you type something into a public AI tool it’s like speaking in a town square. Most public large language models are trained on user inputs, stored on third-party servers, and subject to the privacy policies of companies whose interests are not the same as yours. That means the confidential business strategy you just asked AI to refine, the financial details you fed it for analysis, or the sensitive personnel matter you described — all of that may no longer be exclusively yours. Confidentiality is not a feature of public AI. It is, at best, an illusion.

For anyone in the legal world, the stakes get sharper still. Attorney-client privilege keeps communications between lawyers and clients out of the hands of adversaries. But that privilege can be waived when confidential information is voluntarily disclosed to a third party, and feeding privileged communications or attorney work product into a public AI platform does exactly that. It is not a theoretical risk. Courts are grappling with these questions, and the law is now working to catch up with the technology.

Beyond privilege, understand that your queries and the AI’s responses may themselves be discoverable in litigation. What you asked, how you framed it, and what the AI told you could end up in front of a judge or opposing counsel. Think about that the next time you’re tempted to paste a draft demand letter into a public chatbot for a quick polish.

None of this means abandon the tool — that would be the wrong lesson entirely. It means use it with the same discipline and judgment you bring to every other aspect of your professional life. Use AI platforms built for enterprise use with genuine data protection and confidentiality commitments. Keep privileged communications and sensitive client information out of any public model.

Understand that the output AI gives you is a starting point, not a finished product, and that your professional judgment — the thing no model can replicate — is what stands behind your work. AI is a powerful amplifier, and like every amplifier, it makes the good stuff better and the mistakes louder. The professionals who thrive with this technology will be the ones who embrace it with open eyes, not the ones who either ignore it entirely or hand it the keys without thinking twice.