CZ: AI to Simplify Global Laws
CZ proposes the use of AI to simplify complex legal systems by making laws more accessible through advanced language models.
CZ proposes the use of AI to simplify complex legal systems by making laws more accessible through advanced language models.

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The founder and former CEO of Binance, Changpeng Zhao (CZ), is calling on governments around the world to employ artificial intelligence, particularly large language models (LLM), to simplify complex national legal systems.
In a post published on X on 10 July, Zhao explained how artificial intelligence (IA) could make legal codes easier for the general public to use and understand. According to him, over time many countries have layered increasingly complicated and often contradictory regulations, often with the help of lawyers who have made minor changes.
According to Zhao, this process has led to legal systems "huge, patched together, added on and often intentionally made complex", making it extremely difficult for laypeople to fully understand their rights and obligations.
However, Zhao sees the growth of LLMs as a solution. Many legal texts can be used to train advanced systems such as OpenAI's ChatGPT. Equipped with these skills, such tools could read, understand and rewrite lengthy legal documents with greater ease.
This would allow IA tools to detect errors, simplify clauses and clarify technical terms, making the law more accessible to all.
IA: Support System, Not Substitute
Although Zhao was enthusiastic about AI, he emphasised that it should not replace human lawyers. He believes that by taking care of repetitive tasks, these technologies can be of great help in allowing lawyers to focus on more complex and meaningful cases.
He explained:
Zhao believes that a lower legal burden would encourage innovation. "Instead of a few companies building spaceships, there could be a thousand. We could experiment with more cures for cancer. Flying cars... all have a huge amount of legal requirements."
Caution from the Market
Market observers, however, are more cautious. While they recognise the usefulness of LLMs, they warn against current problems such as "hallucinations", i.e. when AI invents false or misleading information.
In their view, this limitation shows how crucial it still is that lawyers read, verify and contextualise the law, to ensure its accuracy and reliability.
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