Introduction
Artificial intelligence is becoming one of the most valuable areas of innovation for startups, software companies, SaaS platforms, fintech businesses, healthtech projects, e-commerce tools, legaltech products, gaming companies, marketing technologies and industrial automation systems. In Turkey, AI-based products are increasingly built around machine learning models, algorithms, datasets, software code, user interfaces, automated decision tools, predictive analytics, generative AI outputs and proprietary workflows.
However, many founders ask the same question: Can an AI-based product be legally protected in Turkey?
The answer is yes, but not through one single legal mechanism. Turkish law does not protect “AI” as an abstract idea. Instead, protection depends on the specific asset involved. The source code may be protected under copyright law. A technical AI-related invention may be protected by patent or utility model law if it meets strict legal criteria. The model architecture, training methods, datasets, prompts, weights, business logic and customer data structure may be protected as trade secrets if confidentiality is properly maintained. The product name and logo may be protected through trademark registration. The interface, dashboard or visual design may also raise copyright or design protection issues.
The main legal framework includes the Law No. 5846 on Intellectual and Artistic Works for copyright and software-related protection, the Industrial Property Code No. 6769 for patents, utility models, trademarks and designs, the Turkish Commercial Code No. 6102 for unfair competition and trade secret-related protection, and Law No. 6698 on the Protection of Personal Data for AI systems processing personal data. WIPO identifies Law No. 6769 as Turkey’s main industrial property legislation covering patents, utility models, trademarks and industrial designs, while Law No. 5846 is Turkey’s core copyright statute.
As of April 2026, Turkey does not yet have a single comprehensive AI code that replaces existing IP, data protection, contract and commercial law analysis. AI-related bills have been submitted to the Turkish Parliament and remain part of the legislative agenda, but startups still need to build protection mainly through existing laws and carefully drafted contracts. TBMM’s official legislative page records AI-related draft proposals as being at the commission stage.
This article explains how AI-based products can be protected in Turkey, what copyright can and cannot protect, when patents may be available, why trade secrets are often the strongest tool, and what startups should do before launching, licensing, fundraising or scaling an AI product.
1. What Is an AI-Based Product from a Legal Perspective?
An AI-based product is rarely a single legal asset. It is usually a combination of several protectable and non-protectable elements. A startup may describe its product as “an AI platform,” but lawyers and investors will break it down into separate components.
An AI product may include:
- Source code
- Object code
- Model architecture
- Machine learning pipeline
- Training datasets
- Fine-tuning data
- Prompt libraries
- System prompts
- Model weights
- User interface
- API documentation
- Backend infrastructure
- Data labeling methodology
- Output templates
- Product name and logo
- Customer data structure
- Technical documentation
- Confidential know-how
- Business rules and workflow logic
- Performance benchmarks
- Integration methods
- Security and monitoring systems
Each of these components may require a different protection method. Copyright may protect code and original documentation. Patent law may protect a technical invention if the AI solution produces a technical effect beyond an abstract algorithm. Trade secret law may protect confidential training methods, datasets and model logic. Trademark law may protect the product’s commercial identity. Contract law may control access, licensing, confidentiality and ownership.
Therefore, the first legal step is not to ask, “Can we protect AI?” The better question is: Which parts of this AI product are legally protectable, and what is the correct protection tool for each part?
2. Copyright Protection for AI Products in Turkey
Copyright is one of the most important legal tools for AI startups in Turkey, especially where the product includes software, documentation, interface designs, written content, graphics, databases, training materials or other original works.
Law No. 5846 protects intellectual and artistic works that bear the characteristics of their author and fall within legally recognized work categories. The law also expressly defines computer programs as sets of computer instructions arranged to make a computer system perform a specific process or task, including preparatory work leading to the creation and development of such programs.
For AI-based products, copyright may protect:
- Source code
- Software architecture documentation
- API documentation
- User manuals
- Original interface graphics
- Written product content
- Training content created by humans
- Marketing copy
- Original visual materials
- Certain database structures
- Reports and analytical templates
- Website text and design elements
- Human-created datasets or annotations, depending on originality
However, copyright does not protect every aspect of an AI product. It does not protect a general idea, mathematical principle, business method, abstract algorithm, model concept or problem-solving approach. It protects expression, not the underlying idea.
For example, copyright may protect the written code of a machine learning platform, but not the general idea of using AI to classify customer complaints. It may protect a specific dashboard design, but not the broad concept of displaying predictive analytics to users. It may protect human-written documentation, but not the business insight behind the documentation.
This distinction is critical for startups. A founder who says “we copyrighted our AI idea” is usually using legally inaccurate language. The protectable asset is not the idea of the AI product, but the concrete expression and implementation of that idea.
3. Who Owns Copyright in AI Software?
Ownership is often more important than protection. A startup may have copyrightable software, but the company must prove that it owns or controls it.
In Turkey, the creator of a work is generally central to authorship analysis. For AI products, this creates several practical questions:
- Did the founders write the code before incorporation?
- Did an external developer build the first MVP?
- Did an agency create the interface?
- Did employees develop the model pipeline?
- Were open-source components used?
- Did the company obtain written IP assignments?
- Are the repository and source files controlled by the company?
- Did any former founder or freelancer retain rights?
Payment alone is not always enough. Under Turkish copyright practice, economic rights should be transferred through clear written agreements. Law No. 5846 requires contracts concerning economic rights to be in writing and to specify the rights individually.
For AI startups, this means developer agreements should not merely say “the work belongs to the company.” They should specifically transfer the rights to reproduce, modify, adapt, process, distribute, publish, communicate, commercialize, sublicense and transfer the software and related materials. The contract should also address source code delivery, repository access, model documentation, third-party libraries, open-source obligations, confidential information and post-termination support.
If these documents are missing, investor due diligence may expose serious ownership gaps.
4. Are AI-Generated Outputs Protected by Copyright?
AI-generated outputs raise one of the most difficult questions in modern copyright law. Turkish copyright law, like many traditional copyright systems, is built around the concept of a work bearing the characteristics of its author. This creates uncertainty for outputs generated autonomously by AI with little or no human creative contribution.
In practice, AI outputs should be divided into categories:
Human-authored or human-edited outputs
If a human uses AI as a tool and makes creative choices in selection, arrangement, editing, modification, refinement or final expression, copyright protection may be more arguable for the human contribution.
Pure machine-generated outputs
If the output is generated automatically with minimal human involvement, authorship and copyright protection become more uncertain.
Outputs based on protected third-party material
If an AI output is substantially similar to a protected third-party work, infringement risk may arise regardless of whether the startup claims ownership in the output.
Commercial output templates
If a startup creates original templates, workflows, prompt structures, evaluation rubrics and editing layers, these surrounding materials may be more protectable than raw outputs.
For Turkish startups, the safest strategy is not to rely exclusively on copyright protection for AI outputs. Instead, they should protect the software, interface, documentation, prompt libraries, workflows, datasets, customer relationships, trade secrets and contractual usage rights.
5. Protecting Prompt Libraries and System Prompts
Prompt engineering can be commercially valuable, especially for generative AI tools, legaltech platforms, customer service automation, education products, marketing automation and enterprise AI systems.
A prompt library may contain:
- System prompts
- Workflow prompts
- Domain-specific instructions
- Evaluation prompts
- Guardrail prompts
- User journey prompts
- Output formatting instructions
- Chain-of-task templates
- Internal testing prompts
- Fine-tuning instructions
Can prompts be protected by copyright? Sometimes, if they are sufficiently original and expressed in a protectable form. But short, functional or generic prompts may have weak copyright protection. The stronger protection route is often trade secret and contract protection.
Startups should treat prompt libraries as confidential business assets. Access should be limited, NDAs should be signed, internal repositories should be controlled, and customer-facing agreements should prohibit extraction, reverse engineering or unauthorized reuse where enforceable.
6. Patent Protection for AI-Based Products in Turkey
Patent protection may be available for AI-related inventions in Turkey, but only under strict conditions. Industrial Property Code No. 6769 governs patents and utility models. Patentability generally requires novelty, inventive step and industrial applicability. Legal commentary summarizing Article 82 of Law No. 6769 explains that discoveries, scientific theories, mathematical methods, business methods and computer programs “as such” are not considered patentable inventions.
This does not mean that every AI-related invention is excluded. The key issue is whether the claimed invention is a technical solution to a technical problem, not merely an abstract algorithm or business method.
Potentially patent-relevant AI inventions may include:
- AI-based medical device control systems
- Industrial fault detection systems
- Autonomous robotics control methods
- Image processing systems with technical effect
- Signal processing improvements
- AI-based energy optimization in hardware systems
- Cybersecurity detection methods with technical implementation
- Manufacturing process control using machine learning
- Sensor data processing with improved technical performance
- AI-assisted technical diagnostics
In contrast, the following are usually more difficult to patent:
- A general business model using AI
- A pricing recommendation idea
- A marketing prediction concept
- A mathematical model by itself
- A chatbot concept without technical innovation
- A generic software workflow
- A customer matching algorithm as a business method
- A data classification idea without technical effect
AI patent strategy must be prepared carefully. Patent claims should be drafted around the technical contribution, not merely the commercial value of the AI system. A startup should work with a patent attorney before public disclosure, demo presentations, investor decks, academic publications, GitHub releases or product launches.
7. Patent or Trade Secret: Which Is Better for AI?
For AI products, the choice between patent and trade secret protection is strategic.
A patent gives a registered exclusive right, but it requires disclosure of the invention. A trade secret protects confidential information, but only as long as secrecy is maintained and the information is not independently discovered or reverse engineered.
Patent protection may be suitable where:
- The invention is technically patentable.
- Reverse engineering is easy.
- The invention can be clearly claimed.
- The startup needs investor confidence through registered rights.
- International patent protection is commercially justified.
- The technology has a long market life.
Trade secret protection may be better where:
- The AI method is difficult to reverse engineer.
- The value lies in data, model tuning, weights or know-how.
- Patentability is uncertain.
- Public disclosure would help competitors.
- The product evolves quickly.
- The startup lacks budget for international patent filings.
- The key asset is operational knowledge rather than a patentable invention.
Many AI startups should use both. They may patent a technical system while keeping training data, model weights, prompt logic, evaluation methods and business rules confidential.
8. Trade Secrets: The Core Protection for Many AI Products
Trade secrets are often the most important protection method for AI-based products in Turkey. This is because much of the value of an AI system lies in confidential know-how rather than registrable IP.
Trade secrets may include:
- Training datasets
- Data cleaning methods
- Labeling methodology
- Model architecture decisions
- Fine-tuning strategy
- Evaluation benchmarks
- Model weights
- Prompt libraries
- System prompts
- Customer-specific workflows
- Error correction methods
- Internal analytics
- Pricing logic
- Deployment architecture
- Security controls
- Vendor selection
- Performance data
- User behavior insights
Turkey does not have one single standalone trade secrets code equivalent to some jurisdictions. Trade secret protection is generally built through unfair competition rules under the Turkish Commercial Code, contractual confidentiality obligations, civil liability principles and, in certain cases, criminal law. WIPO identifies the Turkish Commercial Code No. 6102 as including provisions on unfair competition and undisclosed information.
A trade secret exists only if the company treats the information as secret. If the startup publicly shares the model details, uploads proprietary code to public repositories, sends datasets without NDAs, gives unrestricted access to contractors or allows employees to download sensitive materials freely, trade secret claims become weaker.
To protect AI trade secrets, startups should implement:
- NDAs with employees, contractors, investors and partners
- Access control based on need-to-know principles
- Separate environments for production, testing and research
- Confidentiality markings on sensitive documents
- Internal AI governance policies
- Secure repositories
- Logging of access to code and data
- Data room controls for investors
- Clear exit procedures for employees and founders
- Return and deletion obligations
- Restrictions on model extraction and reverse engineering
- Cybersecurity controls
- Vendor confidentiality clauses
For AI products, confidentiality is not a supporting detail. It is often the main legal protection.
9. Datasets and Training Data
Datasets are commercially valuable but legally complex. A dataset may include public data, licensed data, user data, scraped data, synthetic data, annotated data, proprietary business data or personal data.
The legal questions include:
- Who collected the data?
- Was the data lawfully obtained?
- Does the startup have a license to use it?
- Does it contain personal data?
- Does it contain copyrighted works?
- Were database rights or contract restrictions considered?
- Was scraping prohibited by website terms?
- Were data subjects informed where required?
- Can the data be used for training, fine-tuning and commercial deployment?
- Can the trained model be exported or licensed?
If a dataset contains personal data, Turkish data protection law becomes central. Law No. 6698 governs personal data processing, and the Turkish Personal Data Protection Authority has published guidance on AI and generative AI. The Authority’s 2025 Generative AI Guide explains that the guide was prepared to assess the personal data protection impacts of generative AI systems and guide data controllers across the AI life cycle.
For startups, the data question is not only regulatory. It is also an IP and investment issue. Investors will ask whether the company can lawfully use the data that makes the AI product valuable.
10. Open-Source AI Models and Third-Party Components
Many AI startups rely on open-source models, libraries, APIs and frameworks. This can accelerate development, but it creates licensing risk.
A startup should know:
- Which open-source components are used
- Which licenses apply
- Whether commercial use is permitted
- Whether model weights are subject to restrictions
- Whether attribution is required
- Whether output use is restricted
- Whether fine-tuned models can be commercialized
- Whether source disclosure obligations apply
- Whether the license permits SaaS deployment
- Whether customer data is sent to third-party APIs
- Whether the vendor can use customer inputs for training
This is especially important for investor due diligence. A product may appear proprietary, but if it depends on a model or library with restrictive licensing terms, the startup’s commercialization strategy may be affected.
Contracts with developers should require disclosure of all open-source and third-party AI components. Internal technical teams should maintain an AI bill of materials, including models, datasets, libraries, APIs and licenses.
11. Trademark Protection for AI Products
While copyright, patents and trade secrets protect technology and content, trademark law protects the commercial identity of the AI product.
An AI startup should consider trademark protection for:
- Company name
- AI product name
- SaaS platform name
- Mobile app name
- Logo
- Slogan
- API product name
- Enterprise product suite names
Trademark protection in Turkey is governed by Industrial Property Code No. 6769, and TÜRKPATENT states that trademark applications may be filed directly with the Turkish Patent and Trademark Office or through the Madrid System where applicable.
Trademark protection is important because AI products often compete in crowded digital markets. Even if the underlying technology is difficult to protect fully, a distinctive brand can become a valuable asset. Startups should conduct trademark searches before launch and file applications early, ideally before public announcements, app store releases, investor demo days or international expansion.
12. Contracts: The Backbone of AI Product Protection
Contracts are essential for AI product protection in Turkey because many AI assets are not easily registrable. A startup should not rely only on statutory IP law. It should create a contract-based protection system.
Important contracts include:
- Founder IP assignment agreements
- Employee invention and confidentiality agreements
- Developer agreements
- Data labeling agreements
- Agency and consultant agreements
- AI model licensing agreements
- SaaS terms of service
- API terms
- Customer contracts
- Data processing agreements
- NDAs
- Investor data room access terms
- Joint development agreements
- University collaboration agreements
- Vendor agreements
- Cloud and infrastructure agreements
These contracts should address:
- IP ownership
- License scope
- Confidentiality
- Data use rights
- Training and fine-tuning permissions
- Restrictions on reverse engineering
- Model extraction prohibition
- Output ownership and use
- Third-party components
- Open-source compliance
- Personal data processing
- Security obligations
- Audit rights
- Post-termination obligations
- Liability and indemnity
- Governing law and dispute resolution
For AI businesses, contracts convert technical value into enforceable legal control.
13. Founder and Developer Ownership Problems
Many AI startups begin before formal incorporation. One founder writes early code, another collects data, another creates prompts, another trains the first model, and a freelancer builds the interface. Later, when the product gains value, ownership questions arise.
Common problems include:
- The main model was trained before company incorporation.
- A founder personally owns the repository.
- A developer used pre-existing code.
- A freelancer never assigned IP rights.
- A university or employer may claim rights in research.
- The dataset was built by a consultant.
- The product name was registered personally by a founder.
- The cloud account is controlled by a former contractor.
- No one documented who created the model pipeline.
AI startups should clean up ownership before fundraising. Founder IP assignments, developer contracts, repository records, data rights documentation and contractor assignments should be organized in an IP data room.
14. AI Products and Investor Due Diligence
Investors reviewing an AI startup in Turkey will usually examine:
- Trademark filings
- Software ownership
- Source code repositories
- Developer agreements
- Founder IP assignments
- Dataset origin and licensing
- Personal data compliance
- Open-source model use
- API dependencies
- Patent applications
- Trade secret controls
- Cybersecurity measures
- Customer contracts
- Output liability clauses
- Pending disputes
- University or employer claims
- Domain names and digital assets
A startup that cannot explain its AI ownership structure may face valuation discounts, delayed closing or demands for additional warranties. A startup that can show clean IP ownership, secure data rights and controlled trade secrets will appear more investment-ready.
15. Enforcement Against Copying or Misuse
If an AI product is copied or misused in Turkey, the legal remedy depends on what was taken.
Possible claims may include:
- Copyright infringement for copied code, interface, documentation or content
- Patent infringement for protected technical inventions
- Trademark infringement for confusing product names or logos
- Unfair competition for dishonest copying or misuse of confidential information
- Breach of contract for violating license terms, NDAs or SaaS terms
- Trade secret misuse claims
- Domain name disputes
- Data protection complaints if personal data is misused
- Criminal complaints in specific fraud, unauthorized access or trade secret scenarios
The claim should be asset-specific. It is usually not enough to say, “They copied our AI.” The startup must identify what was copied: source code, model logic, dataset, prompt library, brand, interface, patented process, confidential workflow or customer data.
Evidence is critical. Startups should preserve source code histories, commit logs, model version records, dataset documentation, access logs, customer communications, screenshots, contract records and technical comparisons.
16. Practical Protection Checklist for AI Startups in Turkey
AI startups should implement the following checklist:
- Identify all AI product components.
- Separate copyright, patent, trade secret, trademark and data assets.
- File trademarks for the company and product names.
- Review whether the AI solution includes a patentable technical invention.
- Avoid public disclosure before patent filing.
- Obtain founder IP assignments.
- Sign written developer and contractor agreements.
- Specify economic rights individually in copyright assignments.
- Maintain source code and model version records.
- Keep prompt libraries and model logic confidential.
- Document dataset origin and usage rights.
- Ensure KVKK compliance for personal data.
- Maintain an open-source and AI model inventory.
- Use NDAs before technical disclosures.
- Control access to repositories, datasets and model weights.
- Include reverse engineering and model extraction restrictions in customer contracts.
- Prepare an investor-ready IP data room.
- Monitor competitors and online misuse.
- Preserve evidence immediately if copying occurs.
- Review international protection if expansion is planned.
This checklist should be implemented before launch, not after a dispute or investor due diligence request.
FAQ: Protecting AI-Based Products in Turkey
Can an AI product be protected in Turkey?
Yes. AI-based products can be protected through a combination of copyright, patents, trade secrets, trademarks, contracts, data protection compliance and unfair competition rules.
Does copyright protect AI software?
Copyright may protect source code, documentation, interface artwork and original written materials. It does not protect abstract ideas, mathematical models, business methods or general AI concepts.
Can AI-generated outputs be copyrighted in Turkey?
This remains legally uncertain, especially for outputs generated with little human creative contribution. Human editing, selection, arrangement and creative control may improve the argument for protection.
Can AI inventions be patented in Turkey?
Some AI-related inventions may be patentable if they provide a technical solution and meet novelty, inventive step and industrial applicability requirements. Abstract algorithms, mathematical methods, business methods and computer programs as such are not enough.
Are trade secrets important for AI products?
Yes. Trade secrets are often essential for protecting training data, model weights, prompts, fine-tuning methods, evaluation metrics, customer workflows and confidential know-how.
Should AI startups file trademarks?
Yes. The company name, product name, app name, logo and platform brand should be searched and protected through trademark applications where commercially relevant.
What is the biggest legal mistake AI startups make?
One of the biggest mistakes is building an AI product with founders, freelancers, developers and third-party tools without clear IP assignments, data rights, open-source review and confidentiality controls.
Conclusion
Protecting AI-based products in Turkey requires a layered legal strategy. Copyright may protect software code, documentation and original creative materials. Patent law may protect technical AI inventions if strict patentability criteria are met. Trade secrets may protect model logic, datasets, prompts, weights, workflows and confidential know-how. Trademark law protects the commercial identity of the product. Contracts control ownership, licensing, confidentiality, data use and customer restrictions.
The most important lesson is that AI itself is not protected as a general idea. A startup must identify each protectable component and secure it through the correct legal mechanism. For many AI businesses, the strongest protection will not come from one registration but from a coordinated structure: clean software ownership, patent review, strong trade secret controls, lawful data use, trademark filings, developer assignments, open-source compliance and investor-ready documentation.
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