Last updated: 12 November 2026

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Figma AI terms checklistbefore you use a Figma AI feature

TimeBinder adds a layer of protection against AI and human fraud and disputes. Review the current Figma AI Terms, the Content Training toggle, and the exact file and Output you can still show, before you use a Figma AI feature or share a file that uses one.

Nothing you tick is sent anywhere. This page cannot decide ownership, and it cannot show what Figma did with the file. It is not legal advice.

Check the terms and copies you can still show

Tick what is true of the file you already hold, the current Figma AI Terms, the Content Training toggle, and the copies you will keep. You get a shareable result and clear next steps. Nothing you tick is sent to TimeBinder.

Your choices stay on this page. Nothing you tick is sent anywhere or tied to your name.

Tick everything that is true before you use a Figma AI feature or share a file that uses one

This looks at the current Figma AI Terms, the Content Training toggle, and the exact file and Output you can still show. It cannot decide ownership, and it cannot show what Figma did with the file. It is not legal advice.

What to do now

What should I keep before I use a Figma AI feature? The short answer

Keep a dated copy of the exact file or Input you already hold, from before a Figma AI feature runs, a dated copy of the current Figma AI Terms, a note of the Content Training toggle you saw, and a dated copy of any Output you will use. If you will use an Agentic Task, write down what you authorised and which permissions it can use.

This checklist is not an ownership decision. A TimeBind of a file you already hold can show that exact file existed no later than a recorded time and still matches. It does not show title, and it cannot show what was used for training.

Why this came up at the end of October 2026

On 30 October 2026, Figma AI Terms took effect. Those terms cover Figma features identified as artificial intelligence features. They say they do not apply to the Figma Weave platform when it is used as a standalone product.

Under “Input, Output, and Ownership,” the current terms say a customer may provide prompts, images, materials, files and other content to Figma AI (“Input”), and may receive images, materials, files and other content, such as code, generated and returned based on that Input (“Output”). Input and Output are Customer Content. As between the customer and Figma, the customer retains all right, title and interest in the customer’s Input and Output, and Figma retains all right, title and interest in the Figma Platform, including improvements and new features. That is Figma’s wording as between those parties. This page cannot decide a dispute, and it is not legal advice.

When “Content Training” is toggled on in the customer’s administrative user settings, the terms say Figma may use Customer Content to maintain, improve and enhance Figma’s products and services by training machine learning and artificial intelligence algorithms and models. If you have not checked the current toggle, you do not yet know which setting applies to the file in front of you.

The same terms describe Agentic Tasks: certain Figma AI features may act on the customer’s behalf to perform tasks, take actions, or interact with data, applications or systems, on the Figma Platform or through third-party systems. By using those features, the customer authorises Figma to act as the customer’s agent for those tasks. Output is not verified by Figma for accuracy and does not represent Figma’s views. Output may not be unique or exclusive, and the same or similar Input may result in different Output. The terms also describe Figma AI Credits, including seat credits, a prepaid AI Credits subscription, and pay-as-you-go billing.

Measured demand is current. Autocomplete checked on 12 November 2026, about 10:34 PM Australia/Brisbane, returned suggestion clusters for “figma ai terms”, including “figma ai terms of service”, for “figma ai training”, including “figma ai training opt out”, “figma ai content training” and “figma disable ai training”, and a larger cluster for “figma ai credits”. A dated YouTube sample the same evening included Figma’s own 22 October 2026 video “How to make the most of the Figma agent” (20,770 views at the time of the check), Figma’s 28 October 2026 video “Make your Figma design system agent-ready” (27,981 views), and a 13 October 2026 video “Figma Agents Are Finally Good (Real Test)” (8,784 views). An X search of the same window, first page of 25 posts as a lower bound, included a 16 October 2026 post with 6,010 impressions and 107 likes at the check, about AI credits applying on a paid plan. Counts and suggestions will keep moving.

The checks are written for the next time a designer, design-system owner or teammate is about to use a Figma AI feature, or share a file where those features are on. Always read the current terms that apply to that workspace, and any team policy that sits beside them.

Source: the Figma AI Terms effective 30 October 2026.

What this checklist does and does not do

The honest job of this page is to slow down a Figma AI feature until the exact copies and the current terms are in hand, not to judge a contract for you. See also the glossary entries for existed no later than and fingerprint.

Limits of a Figma AI terms checklist
Part	What it does	What it does not do
Current Figma AI Terms	Reminds you to read Input, Output, the Content Training toggle, Agentic Tasks and AI Credits, and to keep a dated copy of those terms.	Interpret the terms for you, or show what Figma did with a file.
Content Training toggle	Gives you a reason to check the current administrative setting before a feature runs.	Show historical toggle states, or prove whether a file was used for training.
Copies you already hold	Reminds you to keep the exact file or Input from before a feature runs, and any Output you will use.	Show that those copies are complete, or that Output is unique or already verified.
A TimeBind of a file you already hold	Records that an exact file existed no later than a recorded time and still matches, using a SHA-256 fingerprint made in your browser. The file stays on your device.	Show ownership, licence, or what a model used.

If a Figma file is one you may need to stand behind later

Before you use a Figma AI feature, or share a file where those features are on:

Keep a dated copy of the exact file or Input you already hold, and of any Output you will use.
Make a TimeBind of each exact file or archive you already hold. The fingerprint is made in your browser and the file stays on your device. You can later download a Proof of Time Certificate.
Read the current Figma AI Terms first, write down the Content Training toggle you saw, and store the files, the terms capture and the certificate together.

A TimeBind shows the exact file existed no later than the recorded time and still matches. It is not an ownership decision, and it is not legal advice.

Make a TimeBind: first one free →

First Pooled TimeBind free, no card, then from US$5. An ASAP TimeBind is US$15.

What a TimeBind shows, and what it does not. It shows that an exact file existed no later than a recorded time and that a copy shown later still matches its fingerprint. It does not show who made the file, who owns it, that its contents are true, or whether AI was used to make or edit it. This is general information, not legal advice.

Figma AI terms checklist: FAQ

Can this tool decide who holds title in a Figma file or in AI Output, or show what Figma did with the file?

No. It cannot decide ownership, and it cannot show what was retained, trained on, or sent to another service. It only helps you review the current Figma AI Terms and the exact copies you still hold. This is not legal advice.

What should I keep before I use a Figma AI feature?

A dated copy of the exact file or Input you already hold, from before the feature runs, a dated copy of the current Figma AI Terms, a note of the Content Training toggle you saw, and a dated copy of any Output you will use. A TimeBind of an exact file you already hold can show that file existed no later than a recorded time and still matches.

If the terms say I retain title in Input and Output, is that a finding I can rely on in a dispute?

No. The current Figma AI Terms say that, as between the customer and Figma, the customer retains right, title and interest in Input and Output, and that Input and Output are Customer Content. That is Figma wording in a contract between those parties. This page cannot interpret that wording for a dispute, and it is not legal advice.

Does Output come unique, exclusive or already verified?

The current Figma AI Terms say Output is not verified by Figma for accuracy, that the customer is responsible for evaluating Output, including by employing human review, and that Output may not be unique or exclusive. The same or similar Input may result in different Output.

Is anything I tick sent to TimeBinder?

No. The checklist runs in your browser. Your ticks stay on the page.

Is this legal advice?

No. If you need advice about a contract, a licence or a team policy, speak to a qualified practitioner. This page cannot replace that answer.

Related guides and tools

Your file’s fingerprint, anchored to a global network secured by real electricity and cryptography.

Editing a file—including with AI—changes its fingerprint, not its existing network record.

How this works

Your file’s SHA-256 fingerprint, a short code worked out from its exact contents, is made in your browser, and the file itself stays on your device. A cryptographic commitment to that fingerprint, which may be combined with others, is then anchored in a block on the Bitcoin blockchain. Bitcoin is secured by proof of work: computers around the world spend real electricity to add each block, and changing an earlier block would mean redoing that work faster than the rest of the network. Until that block is confirmed, your proof is pending. Once the Bitcoin anchoring is confirmed, you can verify the proof against that recorded commitment. The confirmed record can then be checked; Pooled TimeBinds are checked through TimeBinder, while ASAP TimeBinds can also be checked independently. If you check the file later and its fingerprint still matches, that shows the file existed no later than the recorded time. The record doesn’t show who made the file, whether AI was used, or that its contents are true.

Your filestays on your device
FingerprintSHA-256
Network timestampon Bitcoin

Date the exact files you already hold

Add a layer of protection against AI and human fraud and disputes: a dated, checkable record of the exact file, Input or Output, kept beside the terms and toggle you may later need to show.

Open the app and sign in with email or Google.
Add your files. They stay on your computer.
Seal them and download your Proof of Time certificates.

Open TimeBinder →

First Pooled TimeBind free, no card, then from US$5. See pricing.