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Keep sensitive documents out of public AI chatbots by default. If an approved AI task genuinely requires document content, share only the minimum necessary, remove or replace identifying details, and verify that the specific service, plan, and settings meet your organization’s requirements for training use, retention, access, processing location, encryption, deletion, and logging. A paid or enterprise plan, encryption, or a promise not to train on data does not by itself make an upload safe.
Can I paste a sensitive document into an AI chatbot?
As a default, no: do not paste personal or sensitive information into a publicly available generative-AI tool. The Australian Office of the Australian Information Commissioner (OAIC) advises organizations not to enter personal information, particularly sensitive information, into publicly available generative-AI tools because of the significant and complex privacy risks involved.
“Sensitive” is broader than a medical record or password. It can include personal, health, financial, legal, government-classified, trade-secret, or contractually restricted content. A document that seems harmless on its own may identify someone through a combination of details, such as a role, date, location, unusual event, or case description.
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Why “I only need a summary” is not enough
The intended task does not determine whether the upload is authorized or protected. The relevant questions include what data the service receives, whether inputs or outputs may be used for model training, who can access them, how long they are kept, where processing occurs, and what controls apply to the account and workspace.
Also consider the AI’s response. It may reproduce confidential details, make unsupported claims, or combine information in a way that reveals something the original excerpt did not state plainly. Review outputs before sharing them, especially if they contain personal details or will inform a decision affecting a person.
How do I decide whether an AI workflow is approved?
Approval should be based on the document’s classification, the purpose of the task, the applicable rules, and the controls of the exact AI product and account—not on the provider’s brand or a general claim about its privacy practices. Confirm both that you are allowed to use the information this way and that the configured service is appropriate for it.
- Identify the data and restrictions. Note whether the document contains personal, health, financial, legal, trade-secret, classified, or contractually restricted information. If you cannot determine its classification or handling rules, ask the data owner or your privacy or security team.
- Define the purpose. Write down what the AI must do and which passages or fields are essential. Use the information only for an authorized purpose; do not upload a document simply because it is available or because a general productivity tool offers a file-upload feature.
- Check the exact product, plan, and account settings. Read the relevant terms and administrator controls for the service you will actually use. A provider’s general statement may not describe every product tier, region, connector, account type, or configuration.
- Check workspace safeguards. Confirm that access can be limited to the people who need it, that the organization can manage accounts and permissions, and that logging and deletion work as required. Use approved connectors and managed workspaces rather than an unmanaged tool or browser extension.
- Minimize and prepare the content. Remove unnecessary pages and fields, then redact or de-identify what the model does not need. Keep any mapping needed to reconnect neutral labels to identities separately and securely.
- Control copies and review the result. Track uploaded files, exports, OCR or conversion files, and intermediate copies. Delete temporary copies when the approved purpose ends, subject to legal holds and retention schedules, and have a person verify the output before relying on or sharing it.
These are separate checks, not substitutes for one another. For example, de-identification reduces the information sent to a provider, but it does not establish that the provider’s retention or access controls are suitable. Likewise, suitable provider controls do not grant permission to use a document for an unauthorized purpose.
What should I check in the AI provider’s privacy controls?
Read the terms and settings for the exact service and plan, and verify the answers with your administrator where appropriate. The controls to examine are training use, human or other authorized access, retention, processing location, encryption, deletion, audit logging, and contractual terms.
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| Control | Question to answer | Why it matters |
|---|---|---|
| Training use | Are prompts, files, and outputs used to train or improve models? Is that behavior a default, an opt-in, or controlled by an administrator? | A no-training default is a useful commitment, but it is not the same as zero retention or zero access. |
| Access and review | Who can access submitted data, including provider personnel, organization administrators, and collaborators? Under what conditions? | Access scope affects who might see the content beyond the person who submitted it. |
| Retention and deletion | How long are prompts, uploads, outputs, logs, and derived files kept? What deletion controls exist, and what exceptions apply? | Different data types may have different handling rules; check the applicable terms rather than assuming one deletion setting covers every copy. |
| Processing location | Where is information processed and stored, and does that meet your legal, contractual, or organizational requirements? | Location can matter for regulated or restricted information. |
| Encryption | Is data encrypted in transit and at rest? Are customer-controlled keys available if required? | Encryption is one safeguard, not proof that the workflow is authorized or that access and retention are appropriate. |
| Identity and permissions | Are managed accounts, single sign-on (SSO), and role-based access available and configured? | Least-privilege permissions help limit use and visibility to people who need access. |
| Logging and contracts | Can the organization review or export audit logs? Do contractual terms address the required uses, responsibilities, and controls? | Logs can support oversight; contract terms define commitments that a general marketing statement may not establish. |
| Connectors | Which repositories or other services can the AI access, and what permissions does each connector inherit? | A document may be exposed through a connected source even if it is not pasted into a chat manually. |
For OpenAI business offerings, the provider states, “We don’t train our models on your organization’s data by default.” Its business documentation also describes encryption at rest and in transit, and retention controls for qualifying organizations. These are vendor-specific commitments, not a guarantee for every OpenAI product, account, or configuration. Verify the current terms and settings for the exact plan before submitting sensitive material.
More broadly, compare concrete controls rather than labels such as “business,” “enterprise,” or “secure.” A managed service may offer stronger administrative controls than a public chatbot, but the relevant question is whether those controls exist, are enabled for your account, and satisfy the requirements for this data and purpose.
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How do I redact or de-identify a document before uploading it?
First remove content the AI does not need. Then replace or irreversibly redact details that could identify a person, account, organization, or restricted matter. Redaction removes information; de-identification replaces or changes identifying details so the task can still work with reduced identification risk.
Minimize the material
- Send only the relevant pages, paragraphs, rows, or fields—not the complete file by default.
- Remove attachments, comments, tracked changes, metadata, and unrelated pages if the task does not require them.
- Exclude direct identifiers such as names, street addresses, account numbers, and case identifiers unless they are essential and their use is authorized.
- Consider indirect identifiers and distinctive facts. A rare job title, precise date, location, or unusual incident may identify someone even after a name is removed.
Choose redaction or de-identification
Use redaction when a field is unnecessary and the task can proceed without it. For example, replace an account number with a neutral label or remove an irrelevant address. Use de-identification when the AI needs the structure of the information but not the real identity: consistent labels such as “Person A” or “Customer 1” can preserve relationships across an excerpt without exposing names.
Do not put the identity key or lookup table into the same prompt or upload. If re-identification is necessary, keep the mapping separately in a controlled location and restrict access to people who need it. De-identification lowers exposure; it does not guarantee anonymity, particularly when distinctive details remain or the mapping is accessible.
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Canada’s privacy commissioner recommends using anonymized or de-identified information where possible and authorizing any use of sensitive or confidential information. That guidance is jurisdiction-specific; organizations should apply the privacy and security duties relevant to their own location and obligations.
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Review the actual material that will leave your system, not just the visible page or your editing notes. Confirm that the excerpt contains no unnecessary identifiers or restricted details, and that any redactions or replacements are present in the file you are about to upload. If you cannot establish that a sensitive field has been removed, do not send the file until the redaction method has been verified by someone qualified to do so.
How should I manage uploads, connectors, and temporary files?
Protect the whole document path, not only the prompt box. A task may create or expose copies through a file upload, a repository connector, an export, OCR, or a conversion step, so keep track of where information goes and who can reach it.
Use a managed workspace
- Use organization-managed accounts and least-privilege access; avoid sharing a workspace or conversation more broadly than necessary.
- Separate projects or workspaces when different groups handle different classes of information.
- Use only approved repository connectors, and check what documents and permissions they expose to the AI service.
- Do not paste secrets or confidential content into browser extensions, unmanaged tools, or personal accounts.
- Use logging or other available oversight controls in line with the organization’s policy.
Track and remove intermediate copies
Include uploaded originals, downloaded AI outputs, OCR extracts, converted files, caches, and intermediate transformations in the workflow inventory. The Information Commissioner’s Office (ICO) guidance calls for tracking data movement and deleting intermediate files when they are no longer required. Canada’s privacy commissioner also recommends managing data through its lifecycle.
Delete transient copies when the approved purpose ends, while respecting legal holds and applicable retention schedules. Deleting a local copy is not a substitute for checking the provider’s retention and deletion terms; confirm what controls apply to the service-side data as well.
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How do I check AI-generated summaries before using them?
Have a person verify material details against the original source before relying on or sharing an AI-generated result. Generative AI can produce inaccurate or fabricated material, and summarization can omit context or present an inference as though it were in the document.
- Check quotations against the source text.
- Recalculate figures and verify calculations independently.
- Confirm names, dates, and other factual details.
- Review legal conclusions with an appropriately qualified person rather than treating an AI summary as legal advice.
- Check that the output does not disclose confidential details to someone who was not authorized to receive them.
- Do not rely on an unverified output for a decision that could affect a person.
Output review is part of privacy protection as well as accuracy control. A carefully minimized input can still lead to an output that repeats private details, so examine what the AI returns and where the result will go next.
What safeguards matter most for organizations?
Organizations should treat AI document handling as part of their existing privacy and security governance rather than as a separate chat-tool decision. The Australian Cyber Security Centre summary advises protecting training and operational data with strong access controls and encryption; the Canadian guidance emphasizes authorization and lifecycle management, while the OAIC emphasizes purpose and privacy risks.
In practice, establish a clear route for staff to determine whether a document may be used, which AI services and account configurations are approved, who can access the workspace, and how outputs and temporary files are handled. Include privacy, legal, and security teams for regulated, classified, or contractually restricted content. Keep an audit trail where appropriate, and review actual settings and contractual terms rather than relying on assumptions about a product category.
For an individual, the same principle applies at smaller scale: if you cannot confirm that the use is authorized and that the specific service’s data controls meet the need, do not upload the sensitive document. Ask for an approved alternative or work with a de-identified excerpt instead.
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Frequently Asked Questions
Can I use an AI tool to summarize a confidential contract?
Only if you are authorized to use that contract with the specific AI service and the configured service meets the relevant confidentiality and security requirements. Check contractual restrictions and consult the data owner or legal team when the permitted use is unclear; a summary request does not override those restrictions.
Does an AI provider’s no-training promise mean my document is private?
No. Training use is only one part of data handling; retention, access, processing location, deletion, connectors, and contractual terms also matter. Verify the exact product and account settings rather than relying on a general statement.
Should I include the key that maps anonymized labels back to real names?
No; keep any re-identification mapping separate from the material submitted to the AI, and restrict access to it. If the task requires the AI to know the real identity, reassess whether that use is necessary and authorized.
Can AI-generated legal or financial summaries be used without review?
They should not be relied on without appropriate human verification. Check material claims against the underlying documents and involve a qualified professional when a legal conclusion or consequential financial decision is at stake.
Quick Recap
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