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Hush AI vs Google Gemini

Gemini has the longer memory. Google has the longer arm.

Gemini's context windows and Workspace integration are formidable, and for non-confidential work it is a superb tool. But Google is a US company, and that single fact changes what you can honestly write in a DPIA for patient, client or employee data.

Hush AIGoogle Gemini
What is kept of your chatsNothing, processed then goneRetained by default
Company ownershipUK companyUS company (Google / Alphabet)
Where inference runsPrivately owned hardwareBig Tech cloud (Google Cloud)
US CLOUD Act jurisdictionOutside itWithin it
Workspace (Docs / Gmail) integrationNo, works alongside, copy & pasteDeep, native
Very long context windows, multimodalSolid for drafting tasksClass-leading
Audit-log export for your IG lead✓ one click, all plansVia Workspace admin tooling
Content used to train modelsNeverWorkspace: not without permission; consumer differs

Rows describe what they keep about you from public terms and filings as of June 2026. Google is a US-incorporated company; the CLOUD Act (H.R.4943, 2018) applies to US providers wherever data is stored. Training behaviour differs between consumer Gemini and Workspace/enterprise, Google states Workspace content is not used to train models without permission. Check the product you are on. Spot an error? Tell us and we will correct it within one working day.

What Gemini does better than us

Very long context windows, strong multimodal handling, and native integration with Google Docs, Gmail and Sheets. If you live in Google Workspace and the jurisdiction question is settled for your data, it is a capable and convenient tool, and Hush does not match it on integration or raw context length.

The one structural difference

The difference is not the postcode of the data centre. It is whether there is any data to disclose. Gemini keeps your conversations on Google-owned infrastructure, and because Google is a US company the CLOUD Act can compel disclosure of what it holds wherever it sits, so a "UK region" toggle moves the postcode, not the reach. Hush keeps nothing you type: it is processed on privately owned hardware and then gone, with no stored copy for such an order to reach, which is what lets your DPIA say so plainly. A Microsoft executive conceded the jurisdiction point under oath; it applies to every US-owned provider.

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Choose Gemini if you need long-context, multimodal capability inside Google Workspace and your governance lead is comfortable with the jurisdiction position for the data involved.

Choose Hush if you draft documents containing patient, client or employee information and you need to write, truthfully, that the tool is on privately owned hardware, not a Big Tech cloud, with an audit trail you own. Hush drafts under your review, not a frontier-capability competitor, and not an ambient scribe.

Frequently asked questions

Is Google Gemini in the habit of keeping a copy of what you type?

Google is a US-incorporated company and Gemini runs on Google-owned cloud infrastructure. The US CLOUD Act applies to US providers wherever the data is stored, so a UK or EU data region changes the geography, not the jurisdiction; it belongs in your DPIA for confidential UK data.

Does Gemini train on my data?

It differs by product. Google states Workspace content is not used to train its models without permission; consumer Gemini differs and may use your activity unless you turn it off. Check the product you are on. Hush never trains on your content, on any plan.

What is a private alternative to Gemini?

Hush AI runs on privately owned hardware, outside US CLOUD Act jurisdiction, never trains on your content, and gives a one-click audit-log export. Gemini leads on long context and Workspace integration; Hush's advantage is jurisdiction, governance tooling and drafting-under-review for regulated work.

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