Computational law research focuses on exploring and advancing the application of computational methods and technologies within the legal field. It involves studying how computer science, artificial intelligence, machine learning, and related disciplines can be used to improve various aspects of the legal system.

In computational law the aim is to develop innovative algorithms, models, and systems that can automate legal tasks, enhance legal decision-making, and facilitate legal analysis. They investigate how computational tools can assist in legal research, contract analysis, case prediction, legal argumentation, and other areas of law.

One area of computational law research involves the development of legal information retrieval and text mining techniques. Researchers explore ways to efficiently extract and organize legal knowledge from large volumes of legal texts, such as court cases, statutes, and legal opinions. They also investigate methods to improve legal search engines, making it easier to find relevant legal information.

Another aspect of computational law research focuses on the development of legal expert systems and AI-powered tools. Researchers work on creating intelligent systems that can provide legal advice, interpret complex legal rules, and assist legal professionals in their work. These systems often employ natural language processing and machine learning techniques to understand and analyze legal texts.

In our lab we conduct several computational law research, seeking to improve legal practice, and increase the access to justice.