May 29th, 2025
Artificial intelligence (AI) is rapidly transforming how businesses operate—automating processes, generating content, analysing data, and even making decisions. But as the use of AI increases, so too does the need for legal and ethical oversight.
Whether you’re building AI tools in-house, purchasing off-the-shelf models, or integrating AI into customer services, it is essential to understand the key legal risks and responsibilities that come with it.
1. Data Protection and Privacy
AI systems often rely on large datasets, which may include personal or sensitive information. Under UK GDPR and the Data Protection Act 2018, organisations must ensure a lawful basis for data processing, conduct Data Protection Impact Assessments (DPIAs) where automated decisions are made, be transparent with users about how data is used and for what purposes, and secure data against breaches, particularly when training models.
Using third-party AI tools also requires careful vetting of the provider’s data handling practices.
2. Intellectual Property Rights
AI raises complex questions around ownership like: Who owns AI-generated content or inventions? Is it legal to train an AI model using copyrighted material? What rights do businesses have over datasets or model outputs?
Businesses must ensure clear contractual provisions on IP ownership, particularly when outsourcing development or using cloud-based platforms.
3. Accuracy and Accountability
AI outputs are only as reliable as their training data and algorithms. This presents potential risks like inaccurate outcomes (e.g., in finance, HR or legal decisions), bias in automated decisions, and difficulty in explaining or justifying decisions made by opaque models
Firms using AI should implement testing, oversight, and quality assurance procedures to minimise risk—especially where decisions impact individuals’ rights.
4. Ethical Use and Reputational Risk
There is growing public and regulatory scrutiny over how AI is used. Ethical issues include discrimination or bias in recruitment, credit, or profiling systems, use of AI in surveillance or behavioural analytics, transparency and user consent.
Organisations should adopt ethical guidelines and consider independent audits or impact assessments, particularly when deploying AI at scale.
AI offers extraordinary opportunities—but also significant legal and ethical responsibilities. Businesses must approach adoption carefully, embedding compliance, transparency, and good governance into their AI strategy.
If your organisation is considering using AI—or already has—we can help you navigate the legal landscape. Contact us to discuss how to implement AI safely, lawfully, and with confidence.
