AI is rapidly emerging as a catalyst in the process of simplifying laws, pushing the legal and technological community towards a profound change. In the current debate, the proposal by Changpeng Zhao (CZ) – founder of Binance – reignites the discussion on how artificial intelligence can redefine the understanding and accessibility of regulations.
Revolutionary Perspective of Binance: AI for Clearer Laws
Changpeng Zhao has sparked the discussion on the intersection between AI and legal reform by launching a groundbreaking idea: using artificial intelligence to translate national regulations into direct and understandable language. Through a post published on X (formerly Twitter), Zhao criticized legal systems as “gigantic, fragmented, continuously expanded, and often intentionally made complex“.
Dovremmo usare l’AI per semplificare le leggi.
Le leggi nella maggior parte dei paesi sono gigantesche, rattoppate, aggiunte e spesso intenzionalmente rese complesse nel tempo (dagli avvocati). Sono anche spesso auto-contraddittorie (ottime per lunghe discussioni) e impossibili da comprendere per una persona normale. Implementarle…
— CZ 
BNB (@cz_binance) 10 luglio 2025
Zhao claims that “AI/LLM (large language models) are excellent in text processing” and reiterates that “laws should be simple and accessible to every citizen, not just legal experts.” In this way, the innovative intervention of Binance surpasses the classic debate on the need to regulate artificial intelligence, proposing instead to use technology to rewrite and rationalize the laws themselves.
The evolution of legal-tech: AI beyond simple searches
The increasingly widespread use of AI in the legal sector has already produced concrete tools. Companies like Wolters Kluwer have integrated generative artificial intelligence into legal research activities and case management. Within the “Straight Talk” series, the leaders of Wolters Kluwer emphasized how legal professionals who choose to adopt these technologies are gaining a competitive advantage over those who remain excluded.
It’s not just about saving time: platforms like Harvey.ai and VitalLaw AI tools from Wolters Kluwer enhance law firms’ ability to summarize judgments and simplify contract review. The impact is felt in more streamlined processes and in the dissemination of legal knowledge that is less constrained by traditional technical jargon.
Data and results: the Stanford test on legal AI
A study conducted by the collaborative laboratory Human-AI at Stanford highlighted that legal documents produced by AI can reach, and in some cases match, the quality of those drafted by humans. However, risks related to the so-called hallucinations remain, that is, errors or information invented by the models, which have embarrassed some lawyers openly criticized by the courts.
The pressure of global regulatory complexity
At the international level, legal complexity remains one of the main obstacles to efficiency. The United States tax code, for example, exceeds 6,800 pages, making it difficult to understand for both citizens and businesses. Similarly, regulations such as the General Data Protection Regulation (GDPR) of the European Union have been repeatedly criticized as obscure and impenetrable, even by the companies required to comply with them.
The emergence of AI therefore paves the way for a possible simplification, reducing pages, ambiguities, and areas where “legalese” predominates over communicative clarity.
Impact on lawyers and legal professionals
The introduction of AI is also reshaping the way legal professionals manage their workload. According to a “Straight Talk” survey by Wolters Kluwer, 73% of legal professionals plan to integrate generative AI tools into their activities within a year.
This means that many operational activities, such as research, synthesis of case law, and document review, will largely shift to automation, freeing up time for highly strategic tasks. However, it remains essential to balance the speed offered by technology with a prudent use of human judgment, to avoid errors and ensure interpretations that adhere to the legal context.
Future Role of Lawyers in the AI Era
Strategic consulting: fewer repetitive tasks, more added value in decision-making processes
Supervision and verification: human control over the outputs generated by AI platforms
Regulatory innovation: development of innovative solutions instead of fighting the “hermetic” legal language
Critical Issues and Challenges in the Adoption of AI for Law
Despite AI promising efficiency, some professionals warn that relying blindly on technologies, without a solid foundation of legal understanding, can be risky. AI tools, if not adequately supervised, can produce incorrect responses or misunderstandings that negatively affect cases and processes.
Furthermore, the regulatory debate remains open both in the United States and at the European level. While there is discussion on how much and how to regulate intelligenza artificiale, the proposal put forward by Binance and other industry leaders invites reflection on how this can be an ally of semplificazione normativa.
Towards a new legal-tech era: the key role of AI according to Changpeng Zhao
The intervention of Changpeng Zhao marks a turning point: not only are institutions questioning how to regulate AI, but also how to make it an innovative lever for accessibility and legislative transparency. The potential expressed in the simplification of regulatory texts, the reduction of gray areas, and the transfer of skills from repetitive tasks to innovation, show how AI can revolutionize the entire justice system.
The road towards the simplification of national legislations is still long, but the involvement of major players like Binance and the adoption of legal-tech tools on a large scale indicate a future where the law is truly within reach of every citizen. Investing in AI in legality means not only greater efficiency, but also transparency, fairness, and the development of a more informed society.
