Do I get copyright indemnification if a Copilot suggestion infringes someone's code?

The Copilot Product Specific Terms state that if your Agreement provides for the defense of third party claims, that provision will apply to your use of GitHub Copilot, including to the Suggestions you receive. On an automated read, that protection depends entirely on which agreement governs your plan: enterprise-grade agreements that include a defense-of-claims provision carry it into Copilot, while the standard Terms of Service for personal accounts contain no such provision, so individual subscribers are not covered. GitHub separately recommends using the filtering features, and the terms make use subject to the Required Mitigations defined by the Microsoft Customer Copyright Commitment. Automated methodology assessment, opinion based on the published terms as of 2026-07-08; verify the current sources.

GitHub Copilot Terms of Service Review 2026 | Fairness Score 52/100 (Grade C)

✅ What Should I Do? Action Plan

Copilot is usable for most developers, but the right settings and habits depend on whose code is in your editor. Pick the column that matches you. Settings paths reflect the github.com Copilot settings as of July 8, 2026; GitHub relabels these screens periodically, so confirm the exact wording in your own account.

👤 Individual developer

Copilot Free, Pro, Pro+, or Max on a personal account

Check the training toggle first: open Profile picture Copilot settings and review the Allow GitHub to use my data for AI model training control. GitHub's policy documentation states that starting April 24, 2026 it may use interactions on the individual plans, including inputs, outputs, and code snippets, to train and improve AI models unless you opt out.
Set Suggestions matching public code to Block. Per GitHub's docs, blocking makes Copilot check suggestions of about 150 characters, with surrounding code, against public code on GitHub.
Treat every accepted suggestion as your responsibility. The Copilot terms put license compliance and infringement risk on you, not on GitHub.
Keep secrets out of the editor context: API keys, tokens, credentials, and .env contents can travel inside a prompt.
Do not run employer or client code through a personal Copilot plan without written authorization; the individual plan's data posture and lack of indemnity are usually the wrong fit for that code.

💼 Business / Enterprise

Copilot Business or Enterprise under an organization

Confirm your governing agreement includes a defense-of-third-party-claims provision. The Copilot terms extend that protection to Suggestions only if your Agreement provides for it.
Enforce the public-code filter org-wide and keep it on Block; the terms tie use to the Required Mitigations (the Microsoft Customer Copyright Commitment mitigations), and GitHub strongly recommends the filtering features.
Note that GitHub's April 24, 2026 model-training policy for Copilot lists only the individual plans; the docs indicate Business and Enterprise are outside it. Confirm this in your agreement rather than assuming it.
Write an internal AI-coding policy: which repos may use Copilot, how suggestions are reviewed, and how license scanning runs before release.
Keep provenance records (filter settings, plan tier, dates). If an infringement claim ever lands, proving your configuration mattered is easier with contemporaneous records.

⚠ Already affected

Account suspended, or a code-provenance dispute landed

Suspended or terminated? The Terms of Service let GitHub act with or without cause and without notice, and that ends Copilot access too. Use GitHub Support, ask which provision was applied, and keep a written record.
Export what you can, fast: repositories, issues, and account data. The terms describe deletion of your profile and repository content within 90 days of termination, with some data persisting in encrypted backups.
If someone claims a Copilot suggestion in your code infringes their license or copyright, preserve the commit history, your filter settings, and your plan tier before responding.
Check which agreement governs you before assuming indemnity: individual subscribers generally have no defense-of-claims provision to invoke.
Document everything: dates, screenshots, support threads. A written record is what makes any later demand or negotiation credible.

ℹ

The cheapest control is the filter plus review. Setting the public-code filter to Block and reviewing suggestions before commit costs nothing and addresses the two risks the documents actually assign to you: license contamination and infringement responsibility. Settings can change; what you commit is permanent.

⚠ Key Clauses to Watch

Automated assessment, as of July 8, 2026. Each flag below is an opinion drawn from the published GitHub Terms of Service (effective April 27, 2026), the GitHub Copilot Product Specific Terms (October 2024), and GitHub's Copilot policy documentation, with the operative language quoted. Verify the current sources before relying on this.

AI training on individual plans is on by default

High Risk

GitHub's Copilot policy documentation states that from April 24, 2026, interactions on the individual plans, including inputs, outputs, and code snippets, may be used to train and improve AI models unless the subscriber opts out in personal Copilot settings. The page indicates Copilot Business and Enterprise sit outside this policy.

“Starting on April 24, 2026, if you have a Copilot Free, Copilot Pro, Copilot Pro+, or Copilot Max plan, GitHub may use your interactions with GitHub features and services, including inputs, outputs, code snippets, and associated context, to train and improve AI models.” GitHub Docs, Managing Copilot policies as an individual subscriber (Model training and improvements) · docs.github.com

Suggestions can match public code; the risk is yours

High Risk

The Copilot terms make it entirely your decision, and entirely your responsibility, to use a Suggestion, and GitHub's remedy is a recommendation: run the filtering features. A suggestion that reproduces GPL or otherwise-licensed code can carry those license obligations into your codebase, and the terms leave that compliance burden on you.

“You retain all responsibility for Your Code, including Suggestions you include in Your Code or reference to develop Your Code. It is entirely your decision whether to use Suggestions generated by GitHub Copilot.” GitHub Copilot Product Specific Terms, Section 3 (Responsibility for Your Code) · github.com/customer-terms

Indemnity exists only if your agreement already has it

High Risk

The defense-of-claims clause is conditional: it applies to Suggestions only where the customer's governing Agreement provides for defense of third-party claims. Enterprise-grade agreements typically do; the standard Terms of Service for personal accounts contain no such provision on an automated read, so Individual subscribers are left without it.

“If your Agreement provides for the defense of third party claims, that provision will apply to your use of GitHub Copilot, including to the Suggestions you receive.” GitHub Copilot Product Specific Terms, Section 4 (Defense of Third Party Claims) · github.com/customer-terms

The ToS license grant now includes training AI Features

High Risk

The April 27, 2026 Terms of Service confirm you own your content, but the license you grant GitHub to run the service reaches further than hosting: it extends to developing and improving the Service, including by training AI Features. Read together with the Copilot training policy, this is the clause that carries the data-use weight.

“You grant GitHub and our Affiliates the right to store, host, archive, parse, display, and make copies of Your Content as necessary to provide, develop, and improve the Service, including by training AI Features...” GitHub Terms of Service, Section D.4 (License Grant to Us), effective April 27, 2026 · docs.github.com

Termination at any time, without cause or notice

High Risk

Copilot access rides on the GitHub account, and the account clause is one of the broadest in the methodology's corpus: suspension or termination at any time, with or without cause, with or without notice, effective immediately. Losing the account means losing Copilot, hosted repositories, and the workflows built on them in one stroke.

“GitHub has the right to suspend or terminate your access to all or any part of the Website at any time, with or without cause, with or without notice, effective immediately.” GitHub Terms of Service, Section M.3 (GitHub May Terminate), effective April 27, 2026 · docs.github.com

AS IS warranty disclaimer

Medium Risk

The service, and by extension every suggestion Copilot produces, comes with no warranty of accuracy, reliability, or non-infringement. Insecure code, broken code, or license-encumbered code is contractually your problem to catch in review.

“GitHub provides the Website and the Service 'as is' and 'as available,' without warranty of any kind.” GitHub Terms of Service, Section O (Disclaimer of Warranties), effective April 27, 2026 · docs.github.com

Broad liability exclusions

Medium Risk

Rather than a dollar cap, the terms exclude whole categories of damages: lost profits, lost data, and all incidental, indirect, special, consequential, or exemplary damages. For a developer whose main exposure IS lost data or downstream losses, the exclusion list can function like a near-zero cap.

“You understand and agree that we will not be liable to you or any third party for any loss of profits, use, goodwill, or data, or for any incidental, indirect, special, consequential or exemplary damages, however arising...” GitHub Terms of Service, Section P (Limitation of Liability), effective April 27, 2026 · docs.github.com

A three-layer acceptable-use stack

Medium Risk

Copilot use is subject to the Acceptable Use Policies, an AI Code of Conduct, and the Required Mitigations, which the terms define by pointing to Microsoft's Customer Copyright Commitment mitigations list. Compliance duties live across several linked documents that can each change separately.

“...your use of GitHub Copilot is subject to the Acceptable Use Policies, the AI Code of Conduct, and the Required Mitigations.” ... “'Required Mitigations' means the Microsoft Customer Copyright Commitment Required Mitigations at aka.ms/AIfilters.” GitHub Copilot Product Specific Terms, Sections 5 and 9 · github.com/customer-terms

🔎 Go Deeper

The detail behind the score: the exact settings to change, where the Individual and Business tiers actually differ, which coding scenarios carry real risk, how Copilot compares with its closest AI rivals, and what should never travel in a prompt. Each block is collapsed; open what is relevant to you.

🔒 Exact opt-out and filter paths (step by step)

Two settings do most of the work on an individual account. Both live in the same place:

github.com › Profile picture › Copilot settings

1. The AI-training toggle. GitHub's documentation describes a control labeled "Allow GitHub to use my data for AI model training," with a dropdown that can be set to Disabled. The same page states the operative default in one sentence:

“Starting on April 24, 2026, if you have a Copilot Free, Copilot Pro, Copilot Pro+, or Copilot Max plan, GitHub may use your interactions with GitHub features and services, including inputs, outputs, code snippets, and associated context, to train and improve AI models.” ... “You can opt-out from allowing your data to be used for training in your personal settings for GitHub Copilot.”GitHub Docs, Managing Copilot policies as an individual subscriber · docs.github.com

2. The public-code matching filter. The same settings page controls whether Copilot will show you suggestions that match publicly available code:

“If you choose to block suggestions matching public code, in most GitHub Copilot products, GitHub Copilot checks code suggestions with their surrounding code of about 150 characters against public code on GitHub.”GitHub Docs, Enabling or disabling suggestions matching public code · docs.github.com

⚠

The filter reduces, it does not eliminate. A roughly 150-character matching window catches verbatim reproduction of indexed public code. It does not catch close paraphrases, code from sources not indexed on GitHub, or structural similarity. The terms still place all responsibility for what you commit on you, filter or no filter.

ℹ

Opting out of training governs future use; it is not described as pulling back data already used. If the training default matters to your work, set the toggle before the next session, not after. Automated assessment, as of July 8, 2026.

🏢 Individual vs Business vs Enterprise: what actually changes

A common misunderstanding is treating Copilot Pro as a business tool because it is paid. On an automated read of GitHub's published documents, the protections that matter for professional code sit in the organization tiers. The table summarizes that reading; confirm the current wording and your own agreement before relying on any row.

Dimension	Copilot Free / Pro / Pro+ / Max (individual)	Copilot Business / Enterprise (organization)
AI-training default on interactions (per docs, from April 24, 2026)	May be used unless you opt out	Listed outside the policy per the docs note
Defense of third-party claims for Suggestions	No provision in the standard ToS to trigger Section 4	Applies where the governing Agreement provides for defense of claims
Public-code filter control	Per-user setting (Allow or Block)	Organization policy can enforce it
Who bears responsibility for Suggestions used	You (Section 3)	You (Section 3), subject to any defense provision
Fit for employer / client code	Generally no	Possibly, with the right agreement and settings

The structural point: the same Product Specific Terms govern everyone, but the two protections with real money behind them, the defense obligation and the training exclusion, attach to the organization agreements. The individual plans carry the same responsibility clauses without those offsets. Automated assessment, as of July 8, 2026; verify the current sources.

🎯 Copilot use-case risk matrix

Not every Copilot session carries the same exposure. Here is how the methodology ranks common developer scenarios by how much caution they call for:

Lower risk

Personal projects, permissive licensing

Hobby code you intend to open-source under MIT or similar. Filter on Block, review suggestions, and the residual exposure is small.

Moderate

Open-source projects with copyleft licenses

In GPL or AGPL projects, an unvetted matching suggestion cuts both ways: it can import incompatible code into your project, and your project's own license duties still bind you.

Moderate

Commercial closed-source product code

License contamination is the live risk: a copyleft-licensed match that ships in proprietary code creates release or relicensing pressure. Block the filter, scan before release.

High risk

Employer or client code on a personal plan

The individual plans carry the training default and no defense provision, and your confidentiality duties to the employer or client are yours, not GitHub's. Get written authorization and the right tier.

High risk

Secrets and credentials in editor context

Prompts assemble code and supporting context from your editor. API keys, tokens, and connection strings in open files can travel with the prompt. Keep secrets in a vault, not in code.

Critical

Regulated codebases (health, finance, government)

Where the code or embedded data is itself regulated, the consumer-grade documents are the wrong contractual wrapper. This calls for an enterprise agreement reviewed against your compliance duties.

⚖ GitHub Copilot vs OpenAI vs Anthropic: side by side

Copilot's closest comparators in this category are the general-purpose AI services developers also use daily. The ToS Watchdog scores, which reflect the methodology's opinion-based read: Anthropic 72 (B), OpenAI 55 (C+), GitHub Copilot 52 (C). Each rating is an evaluative read of the company's own published terms, not a statement of objective fact.

Dimension	GitHub Copilot	OpenAI (ChatGPT)	Anthropic (Claude)
Fairness score	52 / C	55 / C+	72 / B
Consumer/individual training default (per published docs)	On for individual plans from April 24, 2026, opt-out available	On unless you opt out	States consumer chats are not used to train by default
Arbitration / class-action waiver	None found: California courts, no class waiver	Mandatory arbitration (NAM) + class waiver, 30-day opt-out	Arbitration provisions in consumer terms; see full review
Output ownership posture	GitHub disclaims owning Suggestions; no affirmative assignment	Assigns output rights to the user	Assigns output rights to the user on paid tiers
Indemnity for generated output	Only via an Agreement with a defense provision (organization tiers)	None for consumers	Business-tier protections; see full review
Peer scores for context	Perplexity 62 (B-), Gemini 48 (C), Midjourney 42, Character.AI 42 (C-)

Scores reflect an automated read of each company's published terms at the time of review. Companies revise these documents, so treat the comparison as a snapshot. See the full Anthropic review, OpenAI review, and Gemini review for the detail behind each grade.

🚫 What NOT to let into a prompt: the secrets-in-code list

Copilot's prompt is not just the line you are typing. Per the Copilot terms, a Prompt is the collection of code and supporting contextual information sent to GitHub to generate Suggestions, including chat input. Before relying on Copilot in a repo, sweep for anything on this list:

Hardcoded API keys, OAuth tokens, and personal access tokens
Database connection strings with embedded passwords
.env files and config files holding production credentials
Private keys, certificates, and signing secrets committed to the repo
Customer or user data embedded in fixtures, seeds, or test files
Proprietary algorithms under NDA that must not leave the building
Client code you hold under a confidentiality agreement
Internal hostnames, network maps, and infrastructure details in comments

✓

A habit that works: move secrets to a vault or environment injection, add secret-scanning to CI, and keep test fixtures synthetic. The prompt cannot leak what is not in the editor context, and your codebase gets safer against every other exfiltration path at the same time.

The Copilot terms do state a favorable baseline for completions: prompts are encrypted in transit, and, except for the listed cases, are deleted once suggestions are generated. The listed cases matter though, and the April 24, 2026 training policy for individual plans is the bigger data-use lever. Both are covered in the settings fold above. Automated assessment, as of July 8, 2026.

❓ Developer FAQ: licensing, employer code, and the filter

Can a Copilot suggestion put GPL code into my proprietary project?

The documents do not promise otherwise. Copilot was built on public code, suggestions can match public code (that is why the matching filter exists), and Section 3 makes using any suggestion your responsibility. If a matching suggestion carries a copyleft license, the license obligations attach to the code, not to GitHub's role in suggesting it. Blocking the filter and scanning releases for license matches is the practical mitigation.

Does turning on the public-code filter give me indemnity?

Not by itself, on an automated read. The defense obligation in Section 4 turns on whether your governing Agreement provides for defense of third-party claims, which is an organization-tier feature. The terms separately make use subject to the Required Mitigations (Microsoft's Customer Copyright Commitment mitigations) and strongly recommend the filtering features, so an organization that wants the protection should treat the filter as required configuration, not optional. Verify the exact conditions in your own agreement.

Can I use my personal Copilot subscription on my employer's code?

Contractually risky from both directions. Your employer likely has confidentiality and IP policies that pasting its code into a personal AI tool can violate, and from April 24, 2026 the individual plans carry a training default on interactions unless you opt out. If the employer wants Copilot, the organization tiers exist precisely for that; if you want it personally, get written authorization first.

Who owns the code Copilot writes for me?

GitHub disclaims ownership: the terms state GitHub does not own Suggestions and you retain ownership of Your Code. That is a disclaimer, not an assignment, and it does not resolve whether a purely AI-generated snippet is copyrightable at all under current US law, or whether a suggestion reproduces someone else's copyrighted code. Treat ownership of your codebase as yours, and provenance of individual suggestions as a review item.

If Copilot writes insecure or broken code and it costs me money, can I recover from GitHub?

The contract is built to prevent that. The service is provided AS IS without warranties, and the liability section excludes lost profits, lost data, and all incidental, indirect, special, consequential, or exemplary damages. Whatever remedy survives those exclusions would be narrow. The practical control is code review and testing, not contract remedies.

Does GitHub train its models on my private repositories?

Two different levers govern this. The Terms of Service license grant (Section D.4) permits GitHub to use Your Content to provide, develop, and improve the Service, including by training AI Features. The Copilot policy page then describes the April 24, 2026 training policy for individual-plan interactions with its opt-out, and indicates Business and Enterprise sit outside it. What is actually trained on, from where, and with what safeguards is described across those documents rather than in one clause, so check both the ToS language and your Copilot settings, and verify the current wording.

⚖

"The bottom line under this methodology: GitHub Copilot's terms read as a mid-pack 52. The architecture is what drives the grade. GitHub disclaims owning suggestions and skips the arbitration clause most rivals impose, both genuinely favorable, but it pairs that with a clean transfer of every hard risk to the user: you carry infringement responsibility for suggestions, the individual plans carry an AI-training default on interactions from April 24, 2026 unless you opt out, the defense-of-claims protection only exists where an organization agreement provides it, and the account that Copilot rides on can be terminated without cause or notice. The two settings worth changing today are the public-code filter (Block) and the AI-training toggle (Disabled). For employer or client code, use the organization tiers with a defense provision, not a personal plan."

Automated assessment by Terms.Law Watchdog methodology, as of July 8, 2026.

This page is an automated, opinion-based methodology assessment of GitHub's published terms, not legal advice, and it does not create an attorney-client relationship. Terms and policy documents change; verify the current language in your own account and GitHub's published documents before relying on anything here. For a question specific to your situation, you can email the facts and any documents to owner@terms.law.

Frequently Asked Questions

Automated methodology assessment of GitHub's published terms, as of July 8, 2026. Each answer is an opinion drawn from the published documents; the quoted clause carries the weight. Verify the current sources before relying on this. This is general legal information, not legal advice.

⚖

"GitHub does not own Suggestions" is not a safety promise. The ownership disclaimer in Section 2 settles who between you and GitHub owns the output. It says nothing about third parties: a suggestion can still match someone else's licensed code, and Section 3 makes using it your responsibility. Ownership and provenance are two different questions, and the terms only answer the first one in your favor. Automated assessment, as of July 8, 2026; verify the current sources.

ℹ

Individual vs Business / Enterprise: the two defaults that flip. On the individual plans (Free, Pro, Pro+, Max), GitHub's docs describe an AI-training default on your Copilot interactions from April 24, 2026, opt-out available, and the standard Terms of Service give you no defense-of-claims provision to trigger Section 4. On the organization tiers, the docs indicate the training policy does not apply, and an agreement with a defense provision carries indemnity into Suggestions. If Copilot touches professional code, that pair of differences is the whole decision. Automated assessment, as of July 8, 2026; verify the current sources.

Who owns the code Copilot suggests, and who owns my code?

The Copilot Product Specific Terms state that GitHub does not own Suggestions and that you retain ownership of Your Code, and the Terms of Service state that you own Your Content. Two caveats temper that: the ToS license grant lets GitHub and its affiliates use your content to provide, develop, and improve the Service, including by training AI Features, and the responsibility clause makes every suggestion you adopt your problem to clear. US copyright protection for purely AI-generated material is separately uncertain, so do not assume exclusive rights in a raw suggestion. Automated methodology assessment, opinion based on the published terms as of 2026-07-08; verify the current sources.

“GitHub does not own Suggestions. You retain ownership of Your Code.”GitHub Copilot Product Specific Terms, Section 2 (Ownership of Suggestions and Your Code) · github.com/customer-terms

“You grant GitHub and our Affiliates the right to store, host, archive, parse, display, and make copies of Your Content as necessary to provide, develop, and improve the Service, including by training AI Features...”GitHub Terms of Service, Section D.4 (License Grant to Us), effective April 27, 2026 · docs.github.com

Does GitHub train AI models on my Copilot prompts and code?

It depends on your plan and your settings, and the answer changed in 2026. GitHub's Copilot policy documentation states that starting April 24, 2026, interactions on the individual plans, including inputs, outputs, and code snippets, may be used to train and improve AI models, with an opt-out control in personal Copilot settings; the page indicates Business and Enterprise sit outside that policy. Separately, the Copilot Product Specific Terms describe prompts for completions as transmitted only to generate suggestions in real time and deleted once generated, except for listed retention cases. Automated methodology assessment, opinion based on the published terms as of 2026-07-08; verify the current sources.

“Starting on April 24, 2026, if you have a Copilot Free, Copilot Pro, Copilot Pro+, or Copilot Max plan, GitHub may use your interactions with GitHub features and services, including inputs, outputs, code snippets, and associated context, to train and improve AI models.”GitHub Docs, Managing Copilot policies as an individual subscriber (Model training and improvements) · docs.github.com

“GitHub Copilot sends an encrypted Prompt from you to GitHub to provide Suggestions to you. Except as detailed below, Prompts are transmitted only to generate Suggestions in real-time, are deleted once Suggestions are generated, and are not used for any other purpose.”GitHub Copilot Product Specific Terms, Section 6.A (Data) · github.com/customer-terms

Do I get copyright indemnification if a suggestion infringes someone's code?

Only if your governing agreement already contains a defense-of-claims provision. Section 4 of the Copilot terms is a router, not a grant: it carries an existing defense obligation into Copilot Suggestions where one exists. Enterprise-grade customer agreements typically have one; the standard Terms of Service for personal accounts do not, on an automated read, so Individual subscribers are not covered. The terms also tie use to the Required Mitigations defined by Microsoft's Customer Copyright Commitment and strongly recommend the filtering features, so organizations relying on the protection should keep the public-code filter on Block and verify the conditions in their own agreement. Automated methodology assessment, opinion based on the published terms as of 2026-07-08; verify the current sources.

“If your Agreement provides for the defense of third party claims, that provision will apply to your use of GitHub Copilot, including to the Suggestions you receive.”GitHub Copilot Product Specific Terms, Section 4 (Defense of Third Party Claims) · github.com/customer-terms

“If you use Suggestions, GitHub strongly recommends that you have reasonable policies and practices in place designed to prevent the use of a Suggestion in a way that may violate the rights of others. This includes, but is not limited to, using the filtering features available in GitHub Copilot.”GitHub Copilot Product Specific Terms, Section 3 (Responsibility for Your Code) · github.com/customer-terms

Can GitHub terminate my account, and what are my dispute options?

On termination, the clause is as broad as they come: suspension or termination of access at any time, with or without cause, with or without notice, effective immediately, and Copilot access ends with the account. The terms describe deleting your full profile and repository content within 90 days of termination, with some information remaining in encrypted backups. On disputes, the picture is unusually good for this category: no arbitration clause and no class-action waiver found, California law, and the courts of San Francisco, with at least 30 days notice promised for material changes to the terms. Automated methodology assessment, opinion based on the published terms as of 2026-07-08; verify the current sources.

“GitHub has the right to suspend or terminate your access to all or any part of the Website at any time, with or without cause, with or without notice, effective immediately.”GitHub Terms of Service, Section M.3 (GitHub May Terminate), effective April 27, 2026 · docs.github.com

“You and GitHub agree to submit to the exclusive jurisdiction and venue of the courts located in the City and County of San Francisco, California.”GitHub Terms of Service, Section S.1 (Governing Law), effective April 27, 2026 · docs.github.com

Should I accept GitHub Copilot's terms?

Under the published Watchdog methodology these terms score 52/100 (Grade C). What holds the score down: the April 24, 2026 AI-training default on individual-plan interactions unless you opt out, all responsibility for suggestions placed on you, no defense-of-claims protection for individual subscribers, at-will termination without notice, and AS IS disclaimers with broad damage exclusions. What helps: GitHub disclaims owning suggestions and your code, there is no arbitration clause or class-action waiver, and material changes carry 30 days notice. Whether to accept is a personal decision; if you use Copilot, set the public-code filter to Block, review the AI-training toggle, and keep professional code on an organization tier with a defense provision. Automated methodology assessment, opinion based on the published terms as of 2026-07-08; verify the current sources.

“GitHub provides the Website and the Service 'as is' and 'as available,' without warranty of any kind.”GitHub Terms of Service, Section O (Disclaimer of Warranties), effective April 27, 2026 · docs.github.com

⚖

Have an actual GitHub dispute, or shipping AI-assisted code commercially? This is an automated assessment, not legal advice. If you have a dispute with GitHub (an account suspension, a code-provenance or license claim, an ownership question) or you are building a product on AI-generated code and need your own terms reviewed, you can start a request here:

GitHub Copilot Terms Review

✅ What Should I Do? Action Plan

👤 Individual developer

💼 Business / Enterprise

⚠ Already affected

✓ Relative Strengths

Score Breakdown by Category

Compare With Other AI Services

💻 Developer Legal Questions?

Related Resources

⚠ Key Clauses to Watch

AI training on individual plans is on by default

Suggestions can match public code; the risk is yours

Indemnity exists only if your agreement already has it

The ToS license grant now includes training AI Features

Termination at any time, without cause or notice

AS IS warranty disclaimer

Broad liability exclusions

A three-layer acceptable-use stack

🔎 Go Deeper

Personal projects, permissive licensing

Open-source projects with copyleft licenses

Commercial closed-source product code

Employer or client code on a personal plan

Secrets and credentials in editor context

Regulated codebases (health, finance, government)

Can a Copilot suggestion put GPL code into my proprietary project?

Does turning on the public-code filter give me indemnity?

Can I use my personal Copilot subscription on my employer's code?

Who owns the code Copilot writes for me?

If Copilot writes insecure or broken code and it costs me money, can I recover from GitHub?

Does GitHub train its models on my private repositories?

Analysis

Frequently Asked Questions

What the Published Documents Say Now

GitHub Terms of Service (effective April 27, 2026)

Copilot Product Specific Terms (October 2024)

Copilot policy documentation: the April 24, 2026 change

Copilot Trust Center

Litigation and News Tracker

Doe v. GitHub, Inc. (the Copilot class action)

The contract anticipates exactly this dispute

Start with a written review

Try an AI governance contract workroom

Related Resources