---
title: "Compare a provider's terms on storage, training and who else sees the inputs"
url: "https://ailawframework.com/obligations/confidentiality-and-client-information/compare-a-provider-s-terms-on-storage-training-and-subprocessors/united-states"
type: "task_jurisdiction_version"
site: "AI Law Framework"
id: "A51-A20260923-2-US"
practice_area: "Confidentiality & client information"
tier: "yellow"
lawyer_review: "required"
jurisdictions: ["US"]
last_reviewed: "2026-10-22"
---

# Compare a provider's terms on storage, training and who else sees the inputs

> Extract the provider's clauses on retention, training or improvement of a model, subprocessors, and whether inputs can affect answers given to other users. Quote the clause and the page.…

Canonical page: https://ailawframework.com/obligations/confidentiality-and-client-information/compare-a-provider-s-terms-on-storage-training-and-subprocessors/united-states  
Last reviewed: 2026-10-22

Site index for agents: https://ailawframework.com/llms.txt

## Key facts

| Fact | Value |
| --- | --- |
| Practice area | [Confidentiality & client information](https://ailawframework.com/obligations/confidentiality-and-client-information.md) |
| Human involvement | Yellow: Lawyer and AI draft together |
| How AI is used | Extract the provider's clauses on retention, training or improvement of a model, subprocessors, and whether inputs can affect answers given to other users. Quote the clause and the page. Do not conclude that the terms are safe. |
| What the lawyer must review | Formal Opinion 512: informed consent, when required, includes who will have access to information relating to the representation. D.C. Opinion 388 says lawyers should determine whether the product saves what they provide and whether that interaction affects later answers to other users, and that clients ordinarily should not be asked to consent to a provider privacy policy that trains on client information. Texas Opinion 705: understand how the product works before client information goes in. Read the current terms yourself. |
| Written for | United States |
| Applies to | [Compare a provider's terms on storage, training and subprocessors](https://ailawframework.com/obligations/confidentiality-and-client-information/compare-a-provider-s-terms-on-storage-training-and-subprocessors.md) |

## Checking plan

- What the AI does: Extract the provider's clauses on retention, training or improvement of a model, subprocessors, and whether inputs can affect answers given to other users. Quote the clause and the page. Do not conclude that the terms are safe.
- Basis: Checked against the linked sources on 22 October 2026. Confirm the current instrument before reliance.

## Notes

- A general research prompt that contains no client information is a different Rule 1.05 question in Texas Opinion 705 from a prompt that includes confidential information.
- Terms change. Compare the version that will actually be in force on the matter, not a cached summary.

## Sources

- [ABA Formal Opinion 512, Generative Artificial Intelligence Tools (29 July 2024)](https://www.americanbar.org/content/dam/aba/administrative/professional_responsibility/ethics-opinions/aba-formal-opinion-512.pdf) (checked 2026-10-22)
- [District of Columbia Bar Ethics Opinion 388](https://www.dcbar.org/for-lawyers/legal-ethics/ethics-opinions-210-present/ethics-opinion-388) (checked 2026-10-22)
- [Texas Professional Ethics Committee Opinion 705 (February 2025)](https://www.legalethicstexas.com/resources/opinions/opinion-705/) (checked 2026-10-22)

## Forms and precedents for this task

| Form or precedent | Kind | AI level | Summary |
| --- | --- | --- | --- |
| [Protocol before using a self-learning generative AI tool (United States)](https://ailawframework.com/precedents/confidentiality-and-client-information/us-self-learning-gai-confidentiality-protocol.md) | Checklist | Yellow | A check before anyone puts information relating to a representation into a generative AI tool that may learn from inputs or reveal them in later output, including to someone behind an ethical wall. |
| [Comparison of a provider's terms on storage, training and subprocessors](https://ailawframework.com/precedents/confidentiality-and-client-information/provider-terms-comparison.md) | Checklist | Yellow | Side-by-side comparison of two providers' contracts on where material is stored, whether it is used to train a model, how long it is kept, and which subprocessors can see it. |

Signed-in accounts can read the full text of each one.

*Practice guidance for planning and review. Confirm current primary sources and the requirements of the actual matter. This is general information, not legal advice.*