Most AI tools are hosted on external servers. When a member of your team pastes a client's financial summary or a case memo into a chat window, that text travels over the internet to a data center run by a third party. Depending on the platform and the account settings, that input may be logged, reviewed by the company's safety team, or used to train future versions of the model.
OpenAI, Microsoft, and Google all offer enterprise tiers that disable training on your data — but those settings require deliberate configuration, aren't always the default, and still involve your data passing through infrastructure you don't own or control.
For firms handling client financial data, medical records, legal strategy, or investment portfolios, that transmission is the exposure — regardless of whether anyone reads it.
Most professionals using free or standard-tier AI tools are operating under default settings, which typically allow data to be used for model improvement. A paralegal who drafts a motion with client names included, or an accountant who pastes a balance sheet into an AI chat, may not realize they've sent that information to a third-party server.
This isn't hypothetical. Several bar associations have issued guidance warning attorneys about the confidentiality risks of cloud AI tools. The IRS has published notices reminding tax professionals of their data security obligations. And HIPAA-covered entities have clear requirements around where protected health information can travel.
On-premise AI solves this at the infrastructure level. Rather than routing queries to an external server, the AI model runs entirely on hardware physically located in your office. Your questions, your documents, and your client data never leave your network — not during setup, not during use, and not during maintenance.
This isn't a policy you have to enforce or a setting you have to configure. It's a technical reality. There's no external server to breach because there's no external server at all.
If your firm is evaluating AI tools, ask these questions before committing: Where does my data go when I submit a query? Is it processed on a third-party server, or entirely on my own hardware? Does the vendor sign an NDA covering data privacy? What happens to my data if I cancel the service?
The answers will tell you quickly whether the tool was designed with professional services in mind — or whether client confidentiality was an afterthought.
At Applebee AI, we built around the answer to that first question. Your data doesn't go anywhere. It runs on hardware we ship to your office, configured in our lab, and maintained at the system layer only — we never see your queries, your documents, or your client data. Ever.