A technology company trains a generative model on thousands of licensed images, deploys it commercially, and the system produces visual output that wins a design award. The question of who owns that output – the developer, the user who prompted it, or nobody – sits unresolved under French intellectual property legislation. For international businesses building product strategies around AI-generated content, that gap is not academic. It determines whether assets can be registered, licensed, or enforced.
AI-generated works occupy an uncertain position under French intellectual property law because French copyright doctrine requires a human author as a foundational condition of protection. Where no human creative choice is identifiable in the output, the work may fall outside protected status entirely. Businesses operating in France must therefore assess each AI workflow individually to determine whether human creative contribution is sufficient to establish authorship under French law.
This analysis examines the doctrinal foundations of that uncertainty, surveys competing interpretations emerging from French courts. Identifies the practical gap between legislative text and commercial reality. Additionally, maps the cross-border implications for European clients structuring AI-driven content strategies. It closes with a forward-looking assessment of where French and EU regulatory trajectories are heading.
Doctrinal foundations: the human author requirement in French intellectual property law
French intellectual property legislation rests on a principle that is deceptively simple: copyright protection attaches to original works of the mind, and originality is assessed by reference to the author's personal creative choices. The word "mind" has always carried human connotations. French courts and legal scholars have consistently interpreted it as excluding non-human generative processes from authorship, even where those processes produce outputs that are aesthetically sophisticated or commercially valuable.
The Code de la propriété intellectuelle (French Intellectual Property Code) does not define "author" by explicit exclusion of machines. However, the absence of any provision extending authorship to non-human actors has led courts and practitioners to read the silence as confirmation of the human requirement. This interpretive approach mirrors the position taken in most civil law systems across continental Europe, though the degree of doctrinal rigidity varies considerably from one jurisdiction to another.
What makes the French position particularly relevant for international clients is the strength of the droit moral – the moral rights doctrine – which is inseparable from authorship in French law. Moral rights include the right of disclosure, the right of integrity, and the right of attribution. These rights are personal, perpetual, and inalienable. They cannot be waived by contract. If AI-generated output is ever to be brought within copyright protection in France, the moral rights question will require a structural legislative solution rather than a contractual workaround. No amount of sophisticated drafting in a technology licensing agreement currently resolves the fundamental incompatibility between inalienable personal rights and machine authorship.
Practitioners in France note that the doctrinal purity of this position creates a real commercial problem. A business that generates a catalogue of AI-produced marketing visuals, product descriptions, or music tracks under French law may hold no copyright in that content at all. A competitor can reproduce it freely. The content cannot be licensed with the confidence that the licensor holds a protectable interest. This is the lost opportunity embedded in the current framework: companies investing heavily in AI-generated content pipelines may be building on an unprotectable foundation.
For detailed support on structuring AI-related intellectual property rights in France, the firm's intellectual property practice in France covers registration, licensing, and enforcement strategies tailored to technology-intensive businesses.
Competing court interpretations and the gap between statute and practice
French courts have not yet issued a definitive ruling from the Cour de cassation (France's Supreme Court for civil and criminal matters) on the copyright status of AI-generated works. This absence of supreme court guidance creates space for divergent lower-court approaches, and that divergence is already visible in how French tribunals handle adjacent questions.
Several lines of reasoning have emerged. The first treats AI output as a technical product rather than an authored work. Under this approach, the output may attract protection under unfair competition rules or trade secret legislation, but not copyright. The implication for businesses is significant: trade secret protection is fragile, territorially inconsistent, and does not give the same transferable asset value as copyright.
The second approach looks for the human contribution embedded in the AI process itself. If a human author made original choices in designing the prompt, selecting training data, curating outputs. Alternatively, post-processing the result. Some French practitioners argue that the human's contribution could be sufficient to anchor copyright in the overall work. The difficulty is that this reasoning is highly fact-specific. Courts applying it will scrutinise exactly which choices were made, at which stage, and whether they reflect the author's personality in a way the French doctrine requires. Many purely automated workflows will fail this test.
The third line – still minority but intellectually significant – draws an analogy to software. French intellectual property legislation protects computer programs as literary works and places copyright in the hands of the programmer. Proponents of this analogy argue that a generative AI model is, in structural terms, a very sophisticated program. Additionally. Its outputs could be treated as an expression of the programmer's choices encoded in the model weights and training architecture. Courts have not accepted this argument in its full form. The analogy has structural limits: a programmer's intent is embedded in code that produces deterministic outputs, whereas a generative model produces outputs that the programmer could not have anticipated and did not specifically choose.
The gap between statute and practice also appears in how businesses respond to this uncertainty. The most common commercial response has been to maximise human involvement in AI workflows – not because this produces better content, but because it strengthens the copyright claim. Art directors who document their selection of outputs, writers who edit AI-drafted text substantially, and composers who arrange AI-generated melody lines are all building an evidentiary record of human creative contribution. This is a rational adaptation, but it increases production costs and may defeat part of the efficiency rationale for AI adoption.
Algorithmic accountability is a related dimension of this problem. Where AI systems make consequential creative decisions autonomously, questions arise not only about who owns the output but about who is responsible for it. Software liability rules in France – drawn from both civil legislation governing defective products and general tort principles – may catch AI developers whose systems produce infringing output by training on unlicensed data. This exposure is distinct from the authorship question, but the two intersect in disputes where a copyright holder challenges both the training process and the output.
The huissier de justice (French court bailiff) has a specific procedural role in IP enforcement in France. Before litigation, a saisie-contrefaçon – a seizure and inspection order executed by a huissier – allows a rights holder to gather evidence of infringement in situ. This procedural tool is powerful but requires a pre-existing right to enforce. Where authorship of AI-generated content is disputed, the claimant may struggle to establish standing to bring the saisie in the first place.
To explore how these authorship and enforcement questions interact with broader AI compliance obligations, see the firm's analysis of AI law and technology regulation in France.
AI Act compliance and the regulatory layer above copyright doctrine
The European Union's AI Act introduces a layer of obligation that operates independently of – but interacts significantly with – the copyright question. The AI Act classifies AI systems by risk level and imposes transparency, documentation, and conformity assessment requirements on developers and deployers. For content-generating AI systems, the most immediately relevant obligation concerns transparency about AI-generated content: systems that produce text. Images, audio. Alternatively, video must mark their output as machine-generated in a way that is detectable by other automated systems.
AI Act compliance in France is administered through the EU's central regulatory structure, with national competent authorities designated to handle enforcement at the member state level. French businesses and developers operating general-purpose AI models face documentation obligations – including technical documentation, copyright policy summaries, and records of training data – that go beyond what copyright litigation has historically required. The obligation to publish a summary of copyrighted content used in training is particularly significant. It creates a disclosure record that rights holders can use to assess infringement claims against training datasets.
The AI Act does not resolve the authorship question. It does not confer copyright on AI-generated output, and it does not extend liability for infringement to any new category of actor beyond what national law already provides. What it does is increase the evidentiary footprint of AI development. Developers who comply with documentation obligations create records that can be used against them in copyright disputes. those who fail to comply face regulatory enforcement and may be in a weaker position before courts examining the legitimacy of their training datasets.
Digital services regulation adds a further dimension. The Digital Services Act and the Digital Markets Act reshape how AI-generated content circulates on large platforms operating in France and across the EU. Platform operators who host AI-generated material that infringes copyright may face liability under the regime applicable to hosting providers, depending on how actively they curate content. The interaction between platform liability rules and AI-generated infringement is an area where French courts are likely to develop doctrine rapidly over the next several years.
Technology licensing agreements are the primary commercial tool through which businesses currently manage AI-related IP risk in France. A well-drafted licence will address: the scope of permitted training data use. allocation of copyright in outputs between developer, deployer. Additionally. End user. indemnification for third-party infringement claims arising from training data. and the governing law for dispute resolution. French law is a common choice of governing law for these agreements when the parties are operating primarily within France or the EU. However. Common law choices. particularly English law. remain frequent in cross-border technology transactions, particularly where one party is from an anglophone jurisdiction. Post-Brexit, the enforceability of English-law judgments in France requires specific attention.
Businesses using SARL (société à responsabilité limitée, the French private limited company) or SAS (société par actions simplifiée. The French simplified joint-stock company) structures to hold AI-generated IP assets should also consider whether those structures optimally allocate risk and ownership. The Code de commerce (French Commercial Code) governs how IP assets are treated on a company's balance sheet, how they are transferred in M&A transactions, and what disclosure obligations apply in due diligence. A SARL holding AI-generated content with uncertain copyright status may face valuation challenges in a transaction.
Cross-border implications for European businesses
France is not an island in this regulatory environment. The doctrinal position on AI authorship is broadly shared across EU member states, but national copyright laws remain distinct. A business that generates content using AI and seeks to protect it across France, Germany. Additionally. Spain simultaneously must contend with three national copyright regimes, each with its own threshold for originality and its own approach to computer-generated works.
The United Kingdom's approach is instructive as a comparison. English intellectual property legislation contains an explicit provision extending copyright protection to computer-generated works and assigns ownership to the person who made the necessary arrangements for the work's creation. France has no equivalent provision. This means that the same AI-generated image may attract copyright protection in the UK but not in France, depending on the degree of human involvement. For a European business with operations in both jurisdictions, this asymmetry creates a portfolio management challenge. A comparable analysis of AI-generated work questions in another civil law jurisdiction can be found in our deep analysis of AI-generated works and IP in Portugal.
Cross-border enforcement raises additional complications. A French rights holder seeking to enforce copyright against a defendant in another EU member state will rely on EU private international law rules to establish jurisdiction and applicable law. Where the work's copyright status is itself in dispute. because it is AI-generated. the preliminary question of whether there is a right to enforce may need to be resolved before the substantive infringement claim can proceed. This procedural complexity increases litigation costs and timelines substantially.
Training data sourcing is a cross-border issue with immediate practical consequences. Many AI developers train models on datasets assembled from web-scraped content originating in multiple jurisdictions. A dataset that is lawful to compile in one jurisdiction. because that jurisdiction has a broad text and data mining exception. may involve infringement of French copyright where the scraped content was created by French authors or first published in France. French copyright legislation applies to works of French origin regardless of where the infringing act occurs, subject to private international law constraints.
For businesses structured across France and other European jurisdictions, the most practical approach to this cross-border risk involves three elements. First, conduct a jurisdiction-by-jurisdiction mapping of where AI-generated content is to be exploited commercially. Second, assess the authorship and originality position in each relevant jurisdiction at the time of content creation. Third, build contractual risk allocation mechanisms into every technology licensing and content distribution agreement, with clear indemnification chains running back to the AI developer.
The economics of this cross-border position are not trivial. Businesses that fail to map their IP exposure early. treating AI-generated content as equivalent to traditionally authored content. may discover in due diligence for a financing or acquisition that a significant portion of their content portfolio carries unresolved ownership questions. This devalues the asset and can block or delay transactions. Engaging a lawyer in France with cross-border experience in both IP and AI regulation substantially reduces this risk.
To receive an expert assessment of your AI content strategy and IP exposure in France, contact us at info@ferrazwhitmore.com.
Strategic recommendations and the legislative outlook
Until French legislation or the Cour de cassation issues definitive guidance, businesses must manage AI-generated IP risk operationally rather than wait for legal clarity. The following strategic principles reflect current best practice for international clients operating in France.
Document human creative contributions at every stage of the AI content pipeline. This includes records of prompt design, selection decisions, post-processing choices, and editorial judgments. The goal is to build an evidentiary record that supports a copyright claim grounded in human originality. Courts applying the French doctrine of personal creative choices will look for this evidence.
Do not conflate AI assistance with AI generation. A work in which a human author uses AI as a tool. to generate options from which the author selects and refines. sits in a materially stronger position than a work produced by a fully autonomous AI pipeline. Many French practitioners consider the former to be protectable under existing doctrine, while the latter is not. Structure workflows accordingly.
Assess trade secret and unfair competition protection as a fallback. Where copyright protection is unavailable or uncertain, French trade secret legislation and unfair competition rules may offer some protection for AI-generated content that represents genuine commercial investment. These protections are narrower and more difficult to enforce than copyright, but they provide a partial safety net during the period of legislative uncertainty.
Monitor the EU's evolving position on AI and copyright. The European Commission's work on AI Act implementation and ongoing discussions about whether EU copyright law requires a harmonised approach to computer-generated works will shape the French legislative environment. A legislative initiative to introduce a UK-style provision for computer-generated works in French law is not currently on the immediate legislative agenda, but the pressure from industry is visible and growing.
Revisit technology licensing agreements regularly. The regulatory position on AI-generated works is moving faster than standard contract review cycles. Agreements signed two or three years ago are unlikely to adequately address current AI Act compliance obligations, the transparency requirements for generated content, or the evolving indemnification landscape. Law firms operating in this space recommend annual reviews of AI-related licensing agreements for businesses with material AI content exposure in France.
The legislative trajectory points toward eventual harmonisation at the EU level, but the timeline is uncertain. A law firm in France advising on AI and technology matters must currently work with a patchwork of copyright doctrine, AI Act obligations, platform liability rules, and national judicial interpretation. The commercial cost of that patchwork falls disproportionately on businesses that did not anticipate it in their product strategies.
For a tailored strategy on AI-generated IP management and technology licensing in France, reach out to info@ferrazwhitmore.com.
Frequently asked questions
Q: Can AI-generated content ever receive copyright protection in France?
A: French intellectual property legislation does not explicitly exclude AI-generated works, but the doctrine of personal creative choices requires identifiable human authorship. Where a human author makes original, documented decisions in the process of creating or selecting AI-generated content, a copyright claim may succeed. Fully autonomous AI output, with no meaningful human creative contribution, is currently unlikely to receive copyright protection under French law.
Q: How long does it typically take for IP disputes involving AI-generated works to resolve in French courts?
A: Litigation before French civil courts at first instance typically spans one to three years before a judgment, with appeals extending the timeline further. Matters involving novel questions of AI authorship may take longer because courts must address preliminary legal questions before reaching the merits. Interim measures, including a saisie-contrefaçon executed by a huissier de justice, can be obtained considerably faster – sometimes within days – where urgency is demonstrated and a prima facie right exists.
Q: A common misconception is that the EU AI Act resolves who owns AI-generated content – does it?
A: No. The AI Act does not address copyright ownership of AI-generated works. It focuses on risk classification, transparency obligations, and conformity requirements for AI systems. Ownership of AI-generated content remains governed by national copyright legislation in each EU member state. AI Act compliance is a distinct obligation that runs in parallel with, but does not substitute for, a proper intellectual property analysis under French law.
About Ferraz & Whitmore
Ferraz & Whitmore is an international law firm based in Lisbon, advising business clients across 46 jurisdictions. Our AI and technology law practice in France covers AI Act compliance, intellectual property protection for technology-intensive businesses, software liability, technology licensing, and the intersection of digital services regulation with content strategy. As a law firm operating across France and the broader European market, we combine Portuguese civil law expertise with English common law tradition to deliver cross-border legal solutions that work in practice. We advise international entrepreneurs, SAS and SARL structures, institutional investors, and in-house legal teams navigating AI-related IP risk across multiple legal systems. The firm's IP practice includes experience before French civil courts, as well as cross-border enforcement and arbitration matters across both civil and common law jurisdictions. To discuss your AI content strategy and intellectual property exposure in France, contact us at info@ferrazwhitmore.com.
Disclaimer: This publication is provided for informational purposes only and does not constitute legal advice. The information herein should not be relied upon as a substitute for professional legal counsel tailored to your specific circumstances. Ferraz & Whitmore assumes no liability for actions taken or not taken based on the contents of this material. For advice regarding your particular situation, please contact info@ferrazwhitmore.com.