AI lawyer’s first won case: new opportunities, remaining risks

A recent case in the United Kingdom has attracted attention as an early example of artificial intelligence being used to support litigation in an employment-related context. An AI-supported legal service provider, Garfield AI, assisted a freelance HR consultant in pursuing a claim for unpaid fees before the Wandsworth County Court, reportedly contributing to a successful outcome. The AI tool was used during the preparatory stages of the proceedings, including drafting correspondence and litigation documents, while courtroom representation remained the responsibility of a qualified legal professional.

The case illustrates the potential of AI tools to support certain employment-related matters, particularly where disputes involve standardised claims, contractual issues or document-heavy processes. For HR professionals and businesses, AI may offer opportunities to streamline administrative tasks, improve access to legal information and enhance efficiency. However, the case should not be interpreted as evidence that AI can replace professional legal assessment, particularly in complex matters involving sensitive facts, discretionary decision-making or significant legal consequences.

A key challenge remains the reliability of AI-generated content. AI systems may produce inaccurate or fabricated information - often referred to as “hallucinations” - including incorrect legal references, misleading summaries or unsupported conclusions. In an employment context, where decisions may directly affect individuals’ rights and obligations, such errors may create substantial legal and reputational risks. Human review, professional judgment and appropriate quality controls therefore remain essential.

The increasing use of AI in HR and legal processes must also be considered in light of evolving regulatory requirements. The EU Artificial Intelligence Act introduces a risk-based framework for AI systems and recognises certain employment-related uses, such as AI tools used for recruitment, worker evaluation or employment-related decision-making, as particularly sensitive. While the application of the AI Act is being phased in, the regulatory direction is clear: organisations deploying AI in employment contexts will need to consider issues such as transparency, human oversight, risk management and accountability.

Data protection remains another critical area. Employment-related AI applications often involve the processing of personal data, including potentially sensitive employee information. Organisations should therefore carefully assess GDPR compliance aspects.

This case demonstrates the growing role of AI in the legal and HR landscape, but also highlights the importance of responsible implementation. At present, AI is best viewed as an efficiency-enhancing tool that can support legal professionals - not as a substitute for human expertise, accountability and informed decision-making.