A technology company based in Singapore deploys a generative AI platform to produce marketing content and product designs for its Saudi Arabian market. The output is commercially valuable, widely distributed, and – under conventional assumptions – assumed to be protected. Then a local competitor reproduces the material. The company turns to its legal advisors and learns a difficult truth: under Saudi Arabia's intellectual property legislation, the chain of ownership for AI-generated works has never been formally adjudicated. The assets it believed were protected may not be protected at all.
AI-generated works in Saudi Arabia occupy a doctrinal gap in the country's intellectual property legislation, which conditions copyright protection on human authorship. The Hayʾat al-Milkiyya al-Fikriyya (Saudi Authority for Intellectual Property, SAIP) has not yet issued binding guidance that resolves whether AI output qualifies for protection absent meaningful human creative contribution. International businesses deploying AI tools in the Kingdom must therefore structure their workflows, contracts, and registration strategies around this unresolved question now – before a dispute forces the issue.
This analysis examines the doctrinal foundations of Saudi IP law as applied to AI-generated works, reviews competing interpretations emerging in practice. Identifies the gap between statute and enforcement. Additionally, sets out strategic recommendations for cross-border businesses operating in or through Saudi Arabia.
Doctrinal foundations: human authorship and its limits in Saudi IP law
Saudi Arabia's intellectual property legislative regime covers copyright, patents, trademarks, and related rights through a series of statutes administered by SAIP. The copyright branch of this legislation follows the dominant international approach: protection attaches to original works of authorship, and authorship is understood as a human act.
This human-authorship requirement derives from two reinforcing sources. First, the legislative text conditions rights on the creative act of a natural or legal person. Second, the underlying doctrinal tradition. shaped partly by civil law influences absorbed through the country's commercial law modernisation and partly by Sharia principles governing attribution of creative acts. treats authorship as an exercise of human will and judgment.
For works produced entirely by a machine, neither source provides a straightforward path to protection. An AI system does not possess legal personality under Saudi law. It cannot hold rights, execute contracts, or bear obligations. The works it generates are therefore, in the strict doctrinal sense, authorless – unless a human contribution is identified and attributed.
The patent branch of Saudi intellectual property legislation presents a related but distinct problem. Patent protection requires an inventor. Inventorship, like authorship, is tied to a human being who conceived the invention. Where an AI system generates a novel technical solution autonomously, the question of who is the inventor – the developer, the operator, or the user – has no clear answer in current Saudi patent practice.
Practitioners advising clients in the Kingdom note that these gaps are not unique to Saudi Arabia. They mirror the doctrinal difficulties arising in virtually every jurisdiction that has yet to revise its IP legislation for the AI era. What makes Saudi Arabia distinctive is the pace of deployment. Vision 2030 has embedded AI across government services, financial technology, media, and industrial production at a speed that outpaces legislative revision. The gap between what the statute says and what commercial reality demands is therefore unusually wide.
Competing interpretations and the gap between statute and practice
Three interpretive positions have emerged in Saudi legal commentary and early administrative practice. Understanding each is essential for structuring an effective IP strategy.
The human-contribution approach holds that copyright protection attaches to any AI-assisted work where a human made creative choices that shaped the final output. The focus is on the degree and nature of human involvement – selecting training data, crafting prompts, editing outputs, making curatorial decisions. Under this view, a work produced by a human using AI as a tool is no different in principle from a work produced using any other sophisticated technology. This position is the most commercially useful. It preserves protection for a wide range of AI-assisted production.
The difficulty is that Saudi IP legislation does not define the minimum threshold of human contribution required. Practitioners in Riyadh and Jeddah note that this creates real uncertainty when works are generated with minimal prompt engineering or automated post-production. Where the human role is reduced to pressing a button, the human-contribution argument becomes difficult to sustain.
The employer-as-author approach draws on the work-for-hire concepts embedded in Saudi employment legislation and commercial legislation. Where an AI system operates under the direction and control of a business entity. Additionally, produces output within the scope of that entity's commercial activity. Some practitioners argue that the entity should be treated as the author or right-holder by operation of law. This approach aligns with how courts in several common law jurisdictions have handled computer-generated works – assigning rights to the person who made the arrangements for the work to be created.
Saudi IP legislation does not expressly provide for a computer-generated works category, however. Applying the employer-as-author approach requires an analogical extension of existing rules – which Saudi courts may or may not accept. The Mahkama al-Tijariyya (Commercial Court) and the specialised IP panels within it have not yet produced a body of published decisions on this precise issue. The absence of binding precedent means each case is assessed on its own facts.
The public domain approach holds that works generated without qualifying human authorship cannot be protected and enter the public domain immediately. For businesses, this is the least favourable outcome. It means competitors can freely copy AI-generated content the moment it is published. Early advisory positions from some SAIP officials have been interpreted as leaning toward this view for fully autonomous outputs, though no formal regulatory instrument has codified it.
The gap between statute and practice therefore operates in both directions. Companies that invest in AI-generated output may find their assets unprotected. At the same time, companies that copy AI-generated output in the belief that it is unprotected may find themselves liable – if a court accepts the human-contribution or employer-as-author argument. Algorithmic accountability in this context cuts both ways: the business that cannot demonstrate human creative involvement loses its rights, while the business that ignores a competitor's plausible ownership claim takes on infringement risk.
For a detailed comparison of how this doctrinal split plays out in the neighbouring jurisdiction. See our analysis of AI-generated works and intellectual property in the UAE. There, legislative developments have moved at a different pace.
Software liability, technology licensing, and ownership chains
A common error among international businesses entering Saudi Arabia is assuming that ownership of AI-generated output follows automatically from ownership or licensing of the AI tool. This assumption is almost always wrong – and correcting it is commercially significant.
Technology licensing agreements in the Saudi market – and in most global AI deployment arrangements – typically grant the licensee a right to use the software. They do not transfer ownership of outputs. Many commercial AI platform agreements contain clauses that explicitly disclaim output ownership on the part of the provider, assign rights to the user, or impose conditions on commercial use. The applicable clause in any given agreement controls the first layer of the ownership question.
Saudi commercial legislation and contract law require that the terms of a technology licensing agreement be clear, certain, and not contrary to public order. Where a licensing clause purports to assign copyright in AI-generated works, two questions arise. First, is there copyright to assign? Second, does the assignment comply with Saudi IP legislation's formality requirements for transfers of copyright? An assignment that satisfies the commercial law requirements but fails the IP formality requirements may not be enforceable against third parties.
Software liability adds a further dimension. Where an AI system produces output that infringes a third party's IP rights. by reproducing copyrighted training data, for example. the question of who bears liability (developer, operator, or user) is unresolved in Saudi law. The digital services regulatory regime administered by the Hayʾat al-Ittisalat wa-Taqniyyat al-Maʿlumaat (Communications, Space and Technology Commission, CST) addresses some aspects of digital platform liability but does not directly answer the AI output infringement question. Practitioners advising clients on software liability exposure therefore work from general tort principles in the civil law tradition, combined with applicable digital services rules.
This uncertainty creates a material risk for businesses that rely on AI-generated content at scale. A single enforcement action by a rights-holder whose copyrighted material appeared in AI training data could expose the Saudi-market operator to damages claims – even where the operator had no knowledge of the infringement. Building contractual indemnities into technology licensing agreements, and conducting pre-deployment due diligence on training data provenance, are the two most effective risk-reduction tools currently available.
For a comprehensive view of the AI and technology regulatory regime applicable to businesses in the Kingdom. The firm's AI and technology law practice in Saudi Arabia covers the full regulatory landscape. This includes CST licensing requirements and data localisation obligations.
To explore how your technology licensing structure interacts with Saudi IP legislation, contact us at info@ferrazwhitmore.com.
Cross-border implications for Asia-Middle East clients
Businesses operating between Asia and the Middle East – particularly those based in Singapore, Hong Kong, Japan, South Korea, and India – face a layered challenge. Their AI tools are typically developed and trained in their home jurisdiction. The outputs are deployed and commercialised in Saudi Arabia. The ownership and protection questions therefore span at least two legal systems simultaneously.
Saudi Arabia is a member of the World Intellectual Property Organization and a party to the Berne Convention and the TRIPS Agreement. This means that works protected by copyright in a member state are entitled to protection in Saudi Arabia without formality, under the national treatment principle. However, the national treatment principle does not resolve the underlying authorship question. If the work does not qualify for copyright protection in the home jurisdiction – because it lacks qualifying human authorship there too – there is nothing to protect through Berne.
Several Asian jurisdictions have begun legislating on this question. Some have introduced specific categories for computer-generated works. Others are applying human-contribution analysis through case law. The regulatory position in the client's home jurisdiction therefore directly affects what can be brought to Saudi Arabia as a protectable right. A work that is copyright-protected in Singapore under a human-contribution analysis may qualify for Berne protection in Saudi Arabia. A work that is treated as public domain in the country of origin has no Berne claim to bring.
Cross-border patent filing strategy presents a related complexity. An inventor must be named in a patent application filed with SAIP. Where an AI system generated the claimed invention, the applicant must identify a human inventor. typically the person who directed the AI system. Selected its outputs. Alternatively, contributed the creative element that combined with the AI's technical output to produce the invention. Misfiling – or failing to file promptly – forfeits priority rights in Saudi Arabia, even where the invention is patented elsewhere.
Trade secret protection offers an alternative path that sidesteps the authorship problem entirely. Saudi commercial legislation and related rules protect confidential commercial information against misappropriation. An AI model itself, its training data, and the operational parameters that produce commercially valuable outputs can all qualify as trade secrets. Protection is conditional on the business taking reasonable steps to maintain confidentiality. This means access controls, confidentiality agreements with employees and contractors, and documented information security procedures.
For businesses that are not yet ready to publish or register their AI-generated IP, trade secret protection buys time. It is not a permanent solution – it does not prevent independent development by a competitor and it lapses entirely if the secret is disclosed. But in the current period of doctrinal uncertainty, it is a meaningful protective layer.
Trademark registration provides yet another approach. The visual output of an AI system – logos, product designs, interface elements – can be registered as trademarks or industrial designs through SAIP, independent of the copyright question. Trademark registration does not require a human author. It requires use or intended use in commerce and distinctive character. For AI-generated brand assets, early trademark filing is often the most reliable protection available under current Saudi law.
Businesses active across the Gulf Cooperation Council region will also benefit from reviewing the intellectual property practice covering the wider market. Our team advising on intellectual property matters in Saudi Arabia regularly coordinates multi-jurisdictional filing strategies for technology clients deploying AI at scale across the region.
To discuss how cross-border IP strategy applies to your AI deployment in Saudi Arabia, reach out to info@ferrazwhitmore.com.
Strategic recommendations and the regulatory outlook
The doctrinal uncertainty surrounding AI-generated works in Saudi Arabia is unlikely to resolve quickly. SAIP has signalled awareness of the issue but has not yet published draft regulations. The National Strategy for Data and AI, administered through the Saudi Data and AI Authority (Hayʾat al-Bayyanat wa-al-Dhakaʾ al-Ishtinaaʿi, SDAIA), addresses AI governance broadly but does not directly amend IP legislation. Legislative revision, when it comes, will likely draw on comparative models from the GCC, the EU's developing AI Act compliance regime, and established common law approaches.
Until then, businesses operating in Saudi Arabia should treat the following as a working strategy checklist.
Document human involvement at every stage. Every AI-assisted production process should generate contemporaneous records showing human creative decisions: prompt design, output selection, editorial revision, curation criteria. These records are the evidential foundation for the human-contribution argument. Without them, ownership claims are substantially weakened.
Audit technology licensing agreements for output ownership clauses. Review each AI platform agreement to identify who owns the outputs, what commercial use restrictions apply, and whether the assignment satisfies Saudi IP formality requirements. Where gaps exist, negotiate addenda before the deployment begins – not after a dispute arises.
Register proactively. Copyright registration with SAIP creates a rebuttable presumption of ownership. Trademark and industrial design registration provides protection independent of the authorship question. Patent applications should be filed with a clearly identified human inventor. Early registration establishes the evidentiary baseline for any enforcement action and signals commercial seriousness to Saudi counterparties.
Build trade secret protections in parallel. Confidentiality agreements, access controls, and documented information security procedures protect AI models and training data as commercial secrets. This layer of protection operates regardless of how the copyright question is eventually resolved.
Monitor regulatory developments through SAIP and SDAIA. Draft regulations, ministerial circulars, and SAIP examination guidelines can shift the practical position quickly – even before formal legislative amendment. A business that is monitoring developments can adapt its filings and contractual arrangements in time. A business that is not monitoring may find its strategy obsolete when guidance is issued.
The regulatory trajectory points toward greater specificity. The pressure of Vision 2030's AI deployment commitments will eventually force a legislative resolution. When it comes, the most likely outcome. based on comparable developments in the EU AI Act compliance discussions and in several Asian jurisdictions. is a tiered approach: human-contribution works receive full copyright protection. Employer-directed AI outputs receive a shorter term of neighbouring rights. Additionally, purely autonomous outputs receive limited or no protection. Businesses that have already structured their workflows around the human-contribution model will be well-positioned when this resolution arrives. Those that have not will face a retroactive restructuring of their IP portfolios.
Frequently asked questions
Q: Can an AI-generated work receive copyright protection in Saudi Arabia?
A: Under Saudi Arabia's intellectual property legislation, copyright protection is tied to human authorship. A work produced entirely by an AI system without meaningful human creative input does not qualify for protection as currently drafted. Companies can improve their position by ensuring human involvement – through selection, arrangement, or editorial judgment – is documented at every stage of the creative process.
Q: How long does it typically take to register an IP right covering AI-assisted output in Saudi Arabia?
A: Registration timelines at the Saudi Authority for Intellectual Property vary by right type. Copyright registration can be completed within a matter of weeks, while patent examination for AI-related inventions may extend across several months depending on technical complexity. Prompt filing is recommended because the registration date establishes the evidentiary baseline for any future ownership dispute.
Q: Is it a misconception that technology licensing agreements automatically transfer IP ownership for AI outputs?
A: Yes – this is one of the most common misconceptions international companies bring to Saudi Arabia. A technology licensing agreement typically grants the licensee a right to use the licensed tool, not to own outputs produced with it. Ownership of AI-generated works depends on a separate contractual clause or on the applicable intellectual property legislation. Engaging a lawyer in Saudi Arabia with cross-border technology experience is the most reliable way to verify what a given licensing structure actually transfers.
About Ferraz & Whitmore
Ferraz & Whitmore is an international law firm based in Lisbon, advising business clients across 46 jurisdictions. Our team combines Portuguese civil law expertise with English common law tradition to deliver cross-border legal solutions in AI and technology law, intellectual property protection, and digital services regulation. Our Asia-Pacific and Middle East practice supports technology companies, institutional investors, and in-house legal teams deploying AI systems in Saudi Arabia and across the Gulf Cooperation Council region. The firm's attorneys have advised on technology licensing, AI Act compliance structuring, and algorithmic accountability matters across both civil law and common law systems. Ferraz & Whitmore is a member of leading international legal associations and participates in cross-border practice groups focused on technology regulation and intellectual property. As a law firm in Saudi Arabia with Lisbon-based international counsel, we offer direct access to EU and GCC regulatory intelligence for clients managing cross-border AI deployments. To discuss your AI and intellectual property strategy in Saudi Arabia, 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.