What happens to your documents, stated plainly
From the DocuStrata team
This is the boring essay. It is also the one we most need you to read, because a product that asks for your loan documents, your contracts, your medical records, and your client files has not earned a single upload until it answers, in plain language, the question every sensible person asks first: what happens to my documents when I hand them to you?
Most companies answer that question in a privacy policy engineered to be skimmed. We'd rather answer it in prose, in public, in words short enough to be held against us.
The commitments
Your documents are never used to train AI models. Not ours, not anyone's, not in anonymized form, not in aggregate, not as a default you have to find a toggle to escape. Your archive exists to make you smarter. Your fifteen years of contracts, filings, and records is a record of your negotiations, your finances, and your life — the idea that it should quietly improve someone else's model is the original sin of this product category, and we are structurally out of that business. This is not a setting. It is the architecture.
Every answer shows its work. Answers are grounded in your own documents and carry citations to the exact passages that support them — which is a trust commitment as much as a feature. A system that must always show its sources cannot quietly drift from them. You are never asked to take our software's word for what your documents say; the documents themselves are one click away, every time. And when your documents don't contain support for an answer, the product says so instead of improvising one.
Money is computed, not composed. Financial figures are calculated server-side with deterministic arithmetic — never generated as text by a language model. Your payoff amounts, totals, and schedules are the output of math on cited inputs, not the output of a text predictor's confidence. We wrote a whole essay on why; the short version is that a plausible wrong number is the most dangerous artifact an AI product can emit, so ours doesn't emit them.
Critical operations run server-side. The writes that matter — what's ingested, what's indexed, what's recorded against your account — happen on infrastructure we control under proper authorization, not in the browser where they could be tampered with or spoofed. Unglamorous, invisible when it's working, and the difference between a product you can bet on and one you merely enjoy.
Your archive is yours, coming and going. You brought your documents in; nothing about the product is designed to make leaving unthinkable. Hostage-taking is a business model — see every legacy storage tool whose only retention strategy is the pain of exit — and it is not ours. We intend to keep your archive because the product earns it, renewals measured in answers rather than in switching costs.
Why the incentives point the right way
Promises are cheap, so here is the structural argument instead. DocuStrata makes money one way: subscriptions, paid by you, for answers about your own documents. There is no advertising business that needs to understand you, no data business that needs to aggregate you, no model-training pipeline hungry for your corpus. When the customer is the only revenue, the customer's interest and the company's interest are the same line on the same chart. Every horror story in data privacy starts with a company whose real customer was someone other than the user. We have declined to have one of those.
There's a professional inheritance behind this, too. This company comes out of precision manufacturing, where trust is not a marketing value — it's a tolerance. A part is in spec or it is not; a measurement traces to a standard or it is worthless; you do not get to be mostly accountable. We built the document product to the same standard: every answer traceable, every number computed, every critical write authorized. Trust, in our experience, is not something you claim. It is something you machine into the product and then invite inspection.
The standing invitation
Interrogate us the way the product lets you interrogate your archive. Ask where an answer came from — it will show you. Ask what the number is based on — it will cite the inputs. Ask us what happens to your documents — this essay is the answer, and it will stay current, because a trust page that quietly goes stale is its own kind of breach.
Your documents hold your whole paper life. Handing them to software should feel less like surrender and more like hiring — a reader who works only for you, shows every source, and knows exactly whose archive it is.
Read nothing. Know everything. — docustrata.com
Answers are grounded in your own documents with citations; financial figures are computed server-side. Your documents are never used to train AI models.