Large language models (LLMs) are among the best methods for processing natural language, partly due to their versatility. At the same time, domain-specific LLMs are more practical in real-life applications. This work introduces a novel natural language dataset created by acquired data from official legislative authorities' websites. The study focuses on formulating three natural language processing (NLP) tasks to evaluate the effectiveness of LLMs on legislative content analysis within the context of the Polish legal system. Key findings highlight the potential of LLMs in automating and enhancing legislative content analysis while emphasizing specific challenges, such as understanding legal context. The research contributes to the advancement of NLP in the legal field, particularly in the Polish language. It has been demonstrated that even commonly accessible data can be practically utilized for legislative content analysis.

In February 2019 Polish government added an amendment to a banking law that gives a customer a right to receive an explanation in case of a negative credit decision. This means that a bank needs to be able to explain why the loan wasn't granted if the decision process was automatic.

Warsaw prosecutors have officially informed a Russian citizen that he is suspected of violating Polish aviation law by flying a drone over Polish government buildings in Warsaw. In Poland, this is the first step toward charges being possibly pressed against the man, identified only as Ivan K., in line with Poland's privacy regulations. Police detained the man Monday on suspicion he was operating a drone that was flying in the prohibited area around Prime Minister Beata Szydlo's office and other state buildings. Spokesman for the prosecutors, Michal Dziekanski, told The Associated Press on Wednesday that following questioning the man was given a suspect status and released. If charged and convicted of flying a drone in an off-limits area, he could face up to five years in prison.