AI has moved from hype to daily reality in legal and financial practice, and with it come risks the profession is only beginning to understand. This course draws on an in depth conversation with Associate Professor Alison Lloyd, a specialist in corporate and financial law, fintech and AI governance, to give practitioners a clear, grounded view of where AI genuinely helps and where it can cause serious harm.
You will look at the real cases that have already reached the courts, from fabricated AI citations to a deepfake video call that cost one company 25 million US dollars. You will examine why AI hallucinations are so hard to spot, who is most likely to rely on them, and why verification matters just as much as it would for the work of a junior colleague.
The course then steps back to the wider picture: agentic AI and the question of liability, the black box problem, the contrasting UK and EU approaches to regulation, the Data (Use and Access) Act 2025, and what AI means for access to justice. Throughout, the emphasis is practical: stay sceptical, keep a human in the loop, and protect both your clients and your own professional standing.
Key Takeaways
- Recognise how AI hallucinations appear in legal documents, including partially correct case names and citations that are easy to miss
- Build the verification habits and healthy scepticism needed to use tools such as ChatGPT, Claude and Copilot safely
- Identify deepfake and voice cloning fraud, and the pressure points, such as Friday afternoon payment requests, that scammers exploit
- Explain the black box problem and what it means for liability under the Senior Managers and Certification Regime
- Compare the UK pro innovation approach with the EU AI Act, and the emerging right to an explanation for automated decisions
- Weigh the access to justice opportunities and risks as AI reshapes who can get legal help