The correct application of laws and the effective supervision of legal practices are of critical importance for the functioning of the legal system. The full and accurate understanding of legal compliance criteria, which can be described as the measures within legal texts that determine under what conditions and how legal rules are applied, is one of the most important factors supporting this process. However, it is often observed that legal compliance criteria are expressed in a complex, indirect, or implicit manner within legal texts, making it difficult not only for non-experts but even for professionals to recognize and correctly understand them. At this point, the question arises whether artificial intelligence (AI) technologies can assist in extracting legal compliance criteria from legal texts and expressing them in plain language.

Although it is possible for legal compliance criteria to be specifically developed and made available to the public through meticulous work carried out by experts proficient in legal language and technique, the large number and extensive volume of legal regulations make it impractical to rely on this method whenever needed and achieve results quickly. However, today, with the help of AI technologies that utilize natural language processing techniques to parse large datasets and derive meaning, it has become possible to rapidly analyze extensive legal texts and accurately identify the rules, principles, and tenets contained therein. Yet, this process alone is not sufficient for the complete extraction and identification of legal compliance criteria within processed rule sets, which essentially determine what is acceptable within the legal framework. For this, it is necessary to teach AI systems through deep learning methods which rules constitute legal compliance criteria. The success of the deep learning process depends on the quality of the datasets used at this stage. Therefore, in order to process legal texts with deep learning algorithms and accurately identify legal compliance criteria, a substantial amount of accurate data and the diligent efforts of well-coordinated expert teams are required from the outset.

In conclusion, by distinguishing legal compliance criteria from legal texts with the assistance of AI applications working in this field and presenting them to the public in clear and accessible language, non-compliant practices can be detected and prevented more swiftly, thus contributing positively to the preservation of social order.