Using AI to Build Your Product? Here Is What You Need to Lock Down First
Founders and teams are building faster than ever. Code generated in minutes, copy drafted in seconds, logos designed on demand, products shipped in weeks instead of months. Artificial intelligence has fundamentally compressed the startup timeline, and for lean teams operating in Nigeria's growing technology ecosystem, that is an extraordinary advantage.
But speed without structure creates risk. Before you build your business on AI-generated work, there are four legal realities you need to address and the earlier you address them, the less painful and expensive the consequences.
1. Make Sure You Actually Own What You Build
This is the single most important question any AI-powered startup must answer: who owns the work your AI tools produce?
The answer is not as obvious as it seems. Under Nigerian copyright law, the Copyright Act 2022 vests copyright in original works created by human authors. AI-generated output, to the extent it lacks sufficient human creative input, may not be automatically protected as your intellectual property and even where it is, the ownership may belong to the AI tool provider rather than to you, depending on the terms of service you agreed to.
This is not theoretical. OpenAI's terms of service, for example, generally assign output to the user for commercial purposes but only where the user complies with the applicable usage policies. Google's Gemini terms differ again. Every tool in your stack carries its own IP assignment rules, and ignoring them creates the risk that the core product you are shipping does not legally belong to you.
What to do:
Read the terms of service of every AI tool you use commercially, specifically the intellectual property and output ownership clauses
Use paid or enterprise tiers for any AI tool generating work that goes into your product, free consumer plans routinely carry restrictions on commercial use
Keep records of your prompts, your human edits, and your creative contributions. The more human input documented, the stronger your claim to the resulting work
Ensure every contractor, developer, or team member agreement contains an explicit clause assigning all work product to the company, however generated, including AI-assisted work. Under Section 28(1) of the Copyright Act 2022, copyright initially vests in the author except as otherwise provided in an agreement, meaning that, for a private company, ownership does not pass to you automatically simply because you paid for the work; it passes because your contract says so. (The automatic-vesting rule in Section 28(2), by contrast, applies to works created under a contract for services or in the course of employment for a government, its agencies, or a prescribed international body not to ordinary private-sector engagements.)
A clear written assignment clause is therefore the mechanism that puts ownership beyond doubt, for both employees and independent contractors.
2. Do Not Feed Confidential Information into Public AI Tools
When you paste customer data, financial records, proprietary source code, or internal strategy documents into a consumer AI chatbot, you are in most cases sending that information to servers operated by a foreign company, processed under foreign law, and potentially used to train future AI models.
For Nigerian companies, this creates a direct compliance problem under the Nigeria Data Protection Act 2023 (NDPA). The NDPA governs the processing of personal data of Nigerian residents and imposes strict requirements on cross-border data transfers. Under Section 41, personal data may not be transferred outside Nigeria unless there is an adequate level of protection in the recipient jurisdiction, with the standard for adequacy set out in Section 42. Feeding customer data into a US-based AI tool without appropriate safeguards, contractual clauses, data processing agreements, adequacy assessments is likely a breach of this obligation, unless one of the specific bases for transfer under Section 43 applies.
Beyond personal data, confidentiality is a contractual issue. If your non-disclosure agreements with investors, partners, or clients prohibit disclosure of confidential information to third parties, and your team is routinely pasting that information into public AI tools, you may be in breach of those agreements without even realizing it.
The NDPA 2023 also imposes data minimisation obligations under Section 24, which requires that personal data be adequate, relevant, and limited to the minimum necessary for the purpose of processing. Feeding more data than necessary into an AI tool to get a better output is precisely the kind of conduct this principle is designed to address.
What to do:
Use enterprise AI plans with explicit data-training opt-outs and data processing agreements, most major providers offer these at business tier
Anonymise or pseudonymise customer data before using it to prompt an AI tool
Put a clear internal AI use policy in place that specifies what categories of information may and may not be entered into AI tools, this protects the company and creates a paper trail of good-faith compliance
Ensure your data processing agreements with AI tool providers satisfy the cross-border transfer requirements under Sections 41 to 43 NDPA 2023
3. Verify Before You Ship
AI-generated code is not clean code. It is confident code, which is a different thing entirely.
Large language models generate code by predicting what code should look like, drawing on vast training datasets that include open-source repositories. This creates two distinct risks that every technical founder needs to understand.
Security vulnerabilities; AI models reproduce patterns from their training data, including patterns that contain known security flaws. Research from Stanford has found that developers using AI code assistants were more likely to introduce security vulnerabilities while, notably, being more confident that their code was secure. Shipping AI-generated code without a security audit is not a startup move, it is a liability.
Open-source licence contamination; Open-source software is not free of legal obligation. Code licensed under the GNU General Public Licence (GPL), for example, carries a "copyleft" obligation: if you incorporate GPL-licensed code into your product and distribute it, your entire codebase may be required to be released under the same licence. If your AI tool was trained on GPL-licensed code and reproduces elements of it in your output, you may unknowingly be shipping a product that triggers this disclosure obligation, undermining the proprietary value of everything you have built.
Under Nigerian law, Section 36 of the Copyright Act 2022 sets out the acts that constitute infringement, including reproducing copyright material without the authorisation of the owner. The fact that an AI tool generated the infringing material does not automatically insulate you from liability as the publisher of the final product.
What to do:
Build human code review into your workflow as a non-negotiable step before production deployment, not an optional extra
Run AI-generated content through plagiarism and originality checking tools
For anything touching regulatory compliance, terms of service, privacy policies, financial disclosures, health claims, get legal review before publication.
Audit your AI-generated codebase for open-source licence obligations before commercialising
4. Comply With Sector Regulations
The most dangerous misconception in the current wave of AI-enabled building is that moving fast creates a compliance grace period. It does not.
A fintech product built in two weeks with AI assistance still requires the same licences, disclosures, and regulatory approvals as one that took two years. A health app processing patient data is still subject to the NDPA 2023 and applicable health sector regulations regardless of whether its interface was designed by a human or generated by an AI. A loan product still requires the appropriate licence from the Central Bank of Nigeria whether its credit scoring model was hand-coded or AI-generated.
Nigeria's regulatory landscape across financial services, data protection, telecommunications, and healthcare is maturing rapidly. The CBN Regulatory Framework for Open Banking in Nigeria, the NDPA 2023 and its implementing regulations, the Nigerian Communications Commission's Consumer Code of Practice Regulations, and the National Information Technology Development Agency Act all carry obligations that apply to technology companies operating in their respective sectors regardless of how the underlying product was built.
Retrofitting compliance after the fact is always more expensive than building it in from the start, in legal costs, in regulatory penalties, and in reputational damage at precisely the moment your company is trying to grow.
What to do:
Map your regulatory perimeter before you build.
Engage a lawyer with technology sector experience early, particularly if your product touches financial services, health, education, or data aggregation
Do not rely on AI-generated compliance advice for regulatory matters, the NDPA 2023, CBN guidelines, and sector-specific rules require accurate, current legal knowledge that general-purpose AI tools are not reliably equipped to provide
Build your compliance infrastructure in parallel with your product, not as an afterthought
The Bottom Line
AI is a genuine and extraordinary advantage for builders. Smaller teams can now accomplish what once required serious capital, large engineering departments, and years of development time. The founders who will convert that speed into lasting, defensible business value are not simply the ones who move fastest, they are the ones who move fast and can prove they own their work, protect their data, and ship responsibly.
The legal infrastructure of your startup is not the bureaucratic part of building. It is the part that determines whether what you build belongs to you, whether your customers can trust you with their data, and whether the value you create survives contact with the real world.
This article is for general informational purposes only and does not constitute legal advice. For advice specific to your business, consult a qualified legal practitioner.
