Summarizing. Ask anyone what they really use AI for at work, and that is the word that comes back almost every single time, often before they have even finished their morning coffee. A thirty-page lease. An endless meeting transcript. An email thread that has been dragging on for three weeks. You paste, you wait five seconds, you get the gist, and the whole thing has become so ordinary that nobody really stops to think about it anymore. Yet a question is sleeping right there, just under the surface, and almost nobody asks it: what is your client's real name actually doing in that summary?
The document keeps its tokens, so does the summary: the AI condenses the content without ever seeing a real name.
A summary lives on facts, not identities
Think again about what you genuinely want from a synthesis. Each party's obligations. The amounts at stake. The dates that matter, the order of events, the sticking points. Not one of those facts, not a single one, needs the real surname to exist. Whether the landlord is called Martin Lefebvre or [PERSON_1], the rent is still 1,450 dollars, the deadline is still the 15th of the month, and the termination clause does not move an inch. The meaning lives in the facts, the timeline, the figures. The name? Just a label you stick back on at the end.
Pseudonymizing degrades nothing, it secures
This is the most stubborn misconception of all. People imagine that masking the names will somehow water down the answer, blur it, make it less useful. The opposite is true. The AI works on exactly the same material, with one difference: it never sees who is behind it. You get a summary that is just as precise, yet one you could have scribbled on the back of an envelope without giving a single person away. And because pseudonymizing is reversible, the placeholders turn back into your real values on your side, locally, the moment the synthesis is done.
What the summary can ignore
In practice? You mask the names of the parties, the contact details, the case references, the personal amounts. The substance, the very thing you set out to condense, goes through untouched. The result: a faithful, ready-to-use summary, without a single real data point ever leaving your walls for a third-party service.
Safe-Doc masks the document before the AI summarizes it, then re-identifies, and the layout holds from start to finish. Worth a read too: the ChatGPT and GDPR at work guide.
Summarize without exposing: pseudonyms on the way out, your real values on the way back.