Nowadays, digital transformation is a key aspect of the future. The power of innovation is tangible in many sectors. Thanks to the exploitation of digital technologies it is possible to improve existing processes and potentially transform the business model. Digitization allows companies and institutions the creation of digital archives. These digital archives allow data extraction that produces amounts of information. It is possible to apply the recent advances in Natural Language Processing and other Artificial Intelligence techniques to generate new insights on documents. In the jurisprudence field, large amounts of legal documents are created every day, indeed many databases of judgements and ordinances are online. Accordingly, the merging of law and analytics procedures can amplify legal knowledge, argument, and decision making. In this master thesis project, we propose an Italian Search-Engine for law practice. The goal of this thesis is to make available to Italian law firms a tool in which to retrieve jurisprudence cases. We address the application of methods of Legal Analytics (LA) of case law and empirical legal data, in particular judgements, using text mining. We implement the state-of-art of Natural Language Processing to the legal domain. We apply computational models to legal reasoning and behaviour, to extract legal knowledge, infer relationships, and encourage data-driven insights. We build a working prototype of a search engine for a web application that requires minimal engineering and programming to bring the system at a level closer to the market.
Law and order: a search engine for italian law
Romare, Piero
2021/2022
Abstract
Nowadays, digital transformation is a key aspect of the future. The power of innovation is tangible in many sectors. Thanks to the exploitation of digital technologies it is possible to improve existing processes and potentially transform the business model. Digitization allows companies and institutions the creation of digital archives. These digital archives allow data extraction that produces amounts of information. It is possible to apply the recent advances in Natural Language Processing and other Artificial Intelligence techniques to generate new insights on documents. In the jurisprudence field, large amounts of legal documents are created every day, indeed many databases of judgements and ordinances are online. Accordingly, the merging of law and analytics procedures can amplify legal knowledge, argument, and decision making. In this master thesis project, we propose an Italian Search-Engine for law practice. The goal of this thesis is to make available to Italian law firms a tool in which to retrieve jurisprudence cases. We address the application of methods of Legal Analytics (LA) of case law and empirical legal data, in particular judgements, using text mining. We implement the state-of-art of Natural Language Processing to the legal domain. We apply computational models to legal reasoning and behaviour, to extract legal knowledge, infer relationships, and encourage data-driven insights. We build a working prototype of a search engine for a web application that requires minimal engineering and programming to bring the system at a level closer to the market.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/22253