• Why Large Language Models Cannot Replace Human Lawyers, Particularly in the Context of Hong Kong

The essay critically examines the potential of Large Language Models (LLMs), specifically in their capacity to replace human lawyers. It delves into the discourse surrounding LLMs, evaluating their comprehension abilities and challenging the notion that they lack understanding. The analysis of GPT-4's success in passing the bar exam refutes oversimplified assumptions about the replaceability of human lawyers made by supporters. The study also explores the phenomenon of AI hallucinations, emphasizing the limitations hindering LLMs' complete substitution in legal practice. Within the specific context of Hong Kong, the essay highlights challenges such as slow AI adoption, judicial resistance, and linguistic diversity. In conclusion, invoking Amara's Law, the study cautions against hasty predictions, asserting that while LLMs showcase impressive capabilities, the replacement of human lawyers remains currently impractical. The essay advocates for a collaborative future where LLMs enhance, rather than replace, human lawyering.