Generative AI tools like ChatGPT have become everyday assistants in business. From drafting emails to summarising long reports, they can save hours of work. Increasingly, however, business leaders are testing AI in riskier territory: uploading legal contracts to ask for plain-English explanations or even advice.
At first glance, this seems harmless. Why not let an AI highlight clauses you don’t understand, or ask it to flag risks like intellectual property ownership or liability? But the reality is far more complicated. When you upload a contract to ChatGPT—or any AI model—you enter a regulatory, ethical, and potentially legal minefield.
Let’s unpack what actually happens, and why SMEs need to think carefully before pasting sensitive legal documents into an AI chat box.
1. Intellectual Property Ownership – Who Owns What?
One of the most common reasons SMEs upload contracts is to check intellectual property (IP) clauses. For example:
- Does the agency you’ve hired own the copyright in work they produce, or do you?
- Can your supplier re-use designs they created for you with another client?
- Does “background IP” mean you’re giving away more than you realised?
An AI can certainly rephrase these sections in plain language. But here’s the catch: when you paste text into a consumer-facing AI, you may be granting the provider certain rights to use or process that text. Even if the AI provider states they don’t train on your data, the terms of service often include broad licences for storage, quality control, or security.
In practice, that means your sensitive contract could leave the controlled environment of your inbox or shared drive, and exist—at least temporarily—on third-party servers. The irony is clear: you’re asking AI to clarify IP ownership, while potentially creating a new question mark about the IP in the document itself.
2. Breach of Confidentiality – The Hidden Risk
Confidentiality is the bedrock of most business agreements. Yet confidentiality is the first thing you compromise when uploading a contract to an AI tool.
Consider:
- Many contracts contain non-disclosure agreements (NDAs) that forbid sharing terms outside authorised parties. Uploading them into ChatGPT may technically breach that NDA.
- Client contracts might include personal data, financial terms, or trade secrets. Even anonymised sections can still reveal sensitive business context.
- Some regulators treat sharing confidential business documents with cloud services as a data transfer, which may require explicit consent or contractual safeguards.
This isn’t just theoretical. Legal teams are already cautioning against uncontrolled AI use because a single breach of confidentiality—even accidental—can have financial and reputational consequences. If your client later finds their contract terms were uploaded to an AI service, the trust damage alone could outweigh any efficiency gained.
3. Regulation – A Grey but Tightening Area
The regulatory picture is rapidly evolving.
- Data protection laws (GDPR, UK Data Protection Act): Uploading a contract with personal data may count as processing by a third party. If you haven’t carried out due diligence on the AI provider’s data handling, you may be in breach.
- EU AI Act: This emerging regulation emphasises risk management, transparency, and accountability in AI use. Feeding sensitive legal data into a general-purpose model may clash with obligations to keep high-risk use cases under control.
- Sector-specific rules: In industries like finance, health, or law, uploading regulated documents to consumer AI tools could violate professional codes of conduct or even statutory requirements.
The direction of travel is clear: what feels like a grey area today is likely to become a hard prohibition tomorrow. Early adopters who are casual about these risks may find themselves on the wrong side of compliance.
4. The Illusion of Legal Advice
Another subtle danger: ChatGPT is not a lawyer. While it can explain phrases like “force majeure” or “indemnity,” it does not provide legal advice, and shouldn’t be treated as such.
A plain-English explanation may be helpful for context, but it won’t tell you whether that indemnity clause is enforceable in your jurisdiction, or how courts have interpreted similar cases. Worse, AI can confidently generate “hallucinated” explanations that sound plausible but are legally incorrect.
The temptation for SMEs is obvious: save money on legal fees by using AI. But the cost of misunderstanding a contract can dwarf the price of a solicitor’s time. Using AI for legal clarity should be seen as an educational step, not a substitute for professional advice.
5. Real-World Scenarios Where Things Go Wrong
To make this more concrete, let’s look at a few real-world SME scenarios:
Scenario A: The Marketing Agency Agreement
A small e-commerce brand hires a creative agency. The contract includes a clause that all photography and ad copy belong to the agency unless explicitly transferred. The founder pastes this clause into ChatGPT, asking if it means they own their campaign photos.
The AI explains the clause but misses the jurisdiction-specific nuance that UK copyright law automatically grants ownership to the creator, not the commissioner, unless there’s a written assignment. The founder assumes they’re safe—but later finds they don’t own the rights to reuse the content across future campaigns.
Scenario B: The Software Development Contract
A start-up signs with a freelance developer to build a bespoke app. The contract includes technical references to “background IP,” “foreground IP,” and “residuals.” Confused, the founder uploads the section to ChatGPT.
The AI produces a neat summary but doesn’t warn that “residuals” can sometimes allow developers to reuse snippets of code for other projects. Months later, the start-up discovers that key components of their app appear in a competitor’s product—something that could have been avoided by tightening the contract with a solicitor.
Scenario C: The Confidential Supplier Agreement
A food distributor uploads a supplier contract to check terms around liability for late deliveries. The document contains pricing terms and unique supply-chain arrangements. While asking AI for clarification, the distributor inadvertently breaches a confidentiality clause by sharing these details with a non-authorised third party (the AI provider).
If the supplier discovers this, they could claim breach of contract—and in a tightly competitive industry, even the perception of leaked terms could weaken negotiating power.
These scenarios highlight the same truth: while AI makes sense of complexity, it doesn’t account for nuance, enforceability, or the legal consequences of disclosure.
6. Safe Alternatives – How SMEs Can Use AI Without Crossing Lines
So, should SMEs abandon AI altogether when dealing with contracts? Not at all. The key is controlled, compliant use:
- Summarise without context: Instead of uploading the full contract, extract generic clauses (e.g. “standard IP ownership clause”) and ask AI for a plain-language explanation.
- Use enterprise AI tools: Some AI platforms offer enterprise-grade versions with stronger confidentiality guarantees, no data retention, and clearer IP terms.
- Redact sensitive data: If you must paste text, strip names, financial terms, and identifiers. This reduces the chance of breaching confidentiality.
- Pair AI with human oversight: Use AI to highlight clauses for further review, but always involve your solicitor before acting on AI-derived interpretations.
Final Thought – Don’t Sleepwalk Into Risk
Uploading a contract to ChatGPT feels as natural as asking it to draft an email—but the stakes are very different. You risk undermining confidentiality, creating uncertainty around IP, and stepping into regulatory quicksand.
SMEs should approach AI in legal contexts with caution. Used carefully, AI can speed up understanding and help you ask sharper questions of your legal advisers. Used carelessly, it could expose you to exactly the kinds of risks your contracts were designed to prevent.
At Strategic AI Guidance Ltd, we help SMEs navigate these complexities. We specialise in advising on safe, compliant AI adoption—whether that’s deploying private AI models, drafting AI governance policies, or training your teams on how to avoid accidental breaches.
AI can be a powerful ally, but only when you keep control of the risks.