A game demo is usually a bundle of separately protected software and creative works, not a single copyright object. In the United States, copying it to train an AI model may be fair use in some circumstances, but fair use is a fact-specific defense—not an automatic training exception. In the European Union, text-and-data-mining (TDM) rules can permit some copying of lawfully accessible material, yet an appropriately expressed rights reservation can require permission. The demo’s EULA, platform terms, third-party licenses, access method and intended use can be just as important as copyright law.
The practical answer: do not treat a demo as automatically available for AI training
You need to analyze two separate layers of permission. Copyright law governs acts such as reproducing code, textures, music, dialogue and video. Contract law governs what the publisher allowed when you acquired or accessed the demo. A use that might have a plausible copyright defense can still breach an EULA that prohibits copying, reverse engineering, automated access, data mining or commercial exploitation.
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A defensible decision requires the exact demo title and build, the EULA version, platform terms, the ownership chain for every asset, the country whose law applies, how you obtained the files, whether any digital-rights management (DRM) was bypassed, what the model will do, and whether its outputs could replace the demo or its assets. If any of those facts are unknown, obtain written permission rather than assuming that “research” or “nonprofit” makes the use lawful.
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One executable can contain many legal works with different owners and licenses. The U.S. Copyright Act generally protects fixed literary, musical, dramatic, pictorial, graphic, audiovisual and sound-recording works. It does not protect ideas, procedures, processes, systems or methods of operation as such. Separating those categories is essential when defining a training set.
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| Demo material | Typical copyright treatment | Questions to document |
|---|---|---|
| Source or object code, scripts and configuration text | Code is generally treated as a literary work; underlying algorithms, systems and methods are not protected merely as ideas. | Who owns the code? Does a middleware or open-source license impose additional terms? Are you copying the executable, decompiled code or only observing behavior? |
| Textures, character models, concept art and user-interface graphics | Usually pictorial, graphic or sculptural expression, subject to originality and ownership limits. | Are assets supplied by a contractor, stock library or technology licensor? Does the license cover machine-learning use? |
| Music, voice acting and sound effects | Musical works and sound recordings can carry separate copyrights; performances and synchronization rights may also matter. | Which publisher, composer, label, performer or sound-library license applies? Is the audio embedded or streamed? |
| Dialogue, subtitles, lore and other text | Written expression is generally protected as a literary work. | Does the text include third-party quotations, translations or licensed characters? |
| Cinematics and recorded gameplay | Audiovisual expression can be protected independently of the underlying game code. | Will the model ingest frames, audio, scripts, metadata or a complete recording? |
| Gameplay rules, ideas and methods | Ideas, procedures, processes, systems and methods of operation are excluded from copyright protection, although their particular expression may be protected. | Can the project be redesigned to learn from unprotected mechanics without copying expressive assets? |
Copyright can also be split among rights holders. A publisher may own the code and characters while a composer, voice actor, middleware company or music library owns other components. A license from the publisher alone may not cover every embedded asset.
How U.S. copyright law approaches AI training
Fair use is a four-factor, fact-specific defense
Section 107 identifies four factors: the purpose and character of the use, the nature of the copyrighted work, the amount and substantiality used, and the effect on the potential market. Courts weigh them together; no single factor automatically decides a training dispute.
- Purpose and character: Nonprofit investigation, targeted analysis or a transformative purpose can help, while commercial model development and uses that reproduce the original market can increase risk. “AI training” by itself is not a legal category.
- Nature of the work: Highly creative music, art, dialogue and cinematics receive stronger protection than factual material. A commercial game demo is usually expressive, even when it also contains functional code.
- Amount and substantiality: Corpus-scale copying or taking the portions that embody a work’s value can weigh against fair use. A technically necessary copy is not automatically acceptable.
- Market effect: Consider licensing markets for training data, substitutes for the demo or its assets, memorization, and the ability of users to regenerate competing material. Evidence of likely substitution can materially increase exposure.
Fair use is an affirmative defense raised after a dispute, not a pre-clearance certificate. The U.S. Copyright Office says it has been examining AI copyright issues since early 2023. Its August 2023 notice of inquiry received more than 10,000 comments by December 2023. Part 3, “Generative AI Training,” was released in pre-publication form on May 9, 2025, with a final version to follow; it discusses unresolved questions rather than creating a blanket permission.
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A project that studies game mechanics or software architecture without retaining expressive assets presents a different risk profile from one that copies the full installation, extracts textures and audio, and trains a generative model to reproduce them. Keep an asset-by-asset inventory and explain why each category is needed.
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What the EULA and platform terms can prohibit
Read the EULA accepted at installation or account creation, the storefront or launcher terms, and any terms displayed when downloading the demo. Preserve the exact version and acceptance date. Look specifically for clauses covering:
- reproduction, redistribution, extraction or making derivative works;
- reverse engineering, decompilation, disassembly or removal of technical protections;
- automated access, scraping, bots, telemetry collection or data mining;
- commercial use, model training, benchmarking or publication of outputs;
- ownership and sublicensing of user-created content, screenshots, recordings and feedback;
- choice of law, forum, arbitration, termination and survival provisions.
Contract restrictions can be narrower or broader than copyright’s default rules. A demo may be free to download while granting only a personal, revocable, non-transferable license. Terms can also incorporate third-party licenses that impose their own restrictions. If the EULA is silent, that silence is not the same as permission: copyright owners retain exclusive rights unless an exception or license applies.
EU text-and-data-mining rules and the AI Act
Lawful access and rights reservations
EU TDM rules can permit certain reproductions and extractions of lawfully accessible works for mining. The conditions matter. A person who obtained a demo through an unauthorized source may not satisfy lawful-access requirements, and a rights holder can reserve rights in an appropriate, machine-readable or otherwise effective manner for covered uses. Where an effective reservation applies, authorization is required.
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Article 53 duties for general-purpose AI providers
Article 53 of the EU AI Act requires covered providers of general-purpose AI models to maintain a copyright-compliance policy and publish a sufficiently detailed summary of training content. Recital 105 states that use of copyright-protected content requires the rightsholder’s authorization unless a relevant exception or limitation applies, and that an expressly reserved opt-out requires authorization for TDM. The European Commission AI Act Service Desk displayed a consolidated text dated July 27, 2026.
These obligations can matter when training occurs outside the EU if the resulting system is deployed or its output is used in the Union, subject to the Act’s scope and other conditions. They do not convert every demo into protected territory or resolve private contract disputes; they add documentation and compliance duties for covered providers.
Why acquisition method and DRM change the analysis
Record whether the demo came from an authorized storefront, a publisher’s site, a press build, an archive or an unknown mirror. Keep receipts, account records and download URLs. Bypassing DRM can create separate legal and contractual problems even when the intended use is research.
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Section 1201 of the Digital Millennium Copyright Act includes narrow exemptions for preservation and access involving certain games, including abandoned or server-dependent titles under specified conditions. Those exemptions do not grant a general right to extract a demo, defeat access controls or build an AI dataset. A preservation copy should remain within the exemption’s limits and should not be repurposed for model training without an independent legal basis.
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A decision framework for a proposed training project
Use the following comparison before ingesting any file. A high-risk result in one column can outweigh favorable facts elsewhere.
| Question | Lower-risk pattern | Higher-risk pattern |
|---|---|---|
| Jurisdiction | One clearly identified governing law and deployment region. | Multiple countries, EU deployment or unclear forum. |
| Material copied | Observations of unprotectable mechanics or limited factual metadata. | Complete executables, decompiled code, textures, models, music, dialogue and cinematics. |
| Access and permission | Lawful acquisition, permissive written license and no DRM bypass. | Unclear source, restrictive EULA, automated extraction or circumvention. |
| Purpose and economics | Targeted, documented nonprofit analysis with access controls. | Commercial corpus-scale model development or resale of the model. |
| Outputs and market effect | No asset generation, memorization testing or substitution for the demo. | Outputs that recreate characters, music, code or scenes and compete with the original. |
| Compliance controls | Opt-out filtering, provenance, deletion, audit logs and a documented retention period. | No source records, no takedown process and no way to identify or remove demo data. |
This is a risk assessment, not a legal safe harbor. A qualified intellectual-property lawyer should review any commercial or public deployment.
How to obtain permission that actually covers the project
- Map the assets. List code, binaries, models, textures, fonts, music, voice, dialogue, video, metadata and third-party middleware. Identify the likely rightsholder for each.
- Freeze the terms. Save the EULA, privacy policy, storefront terms and any rights-reservation notice with version, date and region.
- Describe the use precisely. State whether copying is temporary or retained, whether training is supervised or generative, the model type, commercial status, jurisdictions, deployment, output capabilities and retention period.
- Request express rights. Ask for reproduction, extraction, computational analysis, model training, evaluation, output distribution, sublicensing and archival rights as applicable. Ask the publisher to confirm authority for music, performances, middleware and other third-party components.
- Negotiate controls. Include opt-out handling, deletion on request, security, audit rights, attribution, confidentiality, indemnity, geographic limits and a process for newly discovered third-party claims.
- Store evidence. Keep the signed license, email approvals, asset schedule, hashes, ingestion logs and model version in the project file. Do not rely on an informal chat message if the project is commercial.
If a publisher will not license the assets, redesign the project around separately licensed or public-domain material, synthetic data, or analysis of gameplay mechanics without copying expressive content.
Operational controls after permission or a legal determination
- Filter files and URLs against EU rights reservations and contractual exclusions before ingestion.
- Maintain provenance for every training item, including acquisition date, license, territory and asset owner.
- Use access controls and retention limits so the raw demo is not redistributed through repositories or checkpoints.
- Test for memorization and near-duplicate output, especially for distinctive art, music, dialogue and code.
- Document deletion and retraining procedures if a license expires or a rightsholder withdraws permission.
- Publish the disclosures required for any covered general-purpose AI provider, including the training-content summary required by Article 53.
Questions that should be answered before a yes-or-no decision
Does “research” automatically permit training?
No. Research purpose may affect the fair-use analysis, but it does not override an EULA, an effective EU rights reservation, third-party copyrights or access-control rules.
Is gameplay footage safer than game code?
Not automatically. Footage can contain protected audiovisual, musical, graphic and dramatic expression; code is generally protected as a literary work. The particular files, purpose, amount and market effect control the analysis.
Can a preservation copy be added to a dataset later?
Not merely because it was preserved lawfully. Preservation exemptions are narrow and do not themselves authorize AI training or public model distribution.
What if the demo EULA never mentions machine learning?
Silence leaves the copyright owner’s exclusive rights in place and does not guarantee that automated extraction is allowed. Obtain a written clarification or license, particularly for commercial use.
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