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France is rolling out an open data program for all court cases, but with few metadata attached. Reusers will have to use named-entity recognition (NER) within the text body of the case to extract any value from it. Any court case may include up to 26 variables, or labels, that are related to the proceeding, regardless of the case substance. These l...
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... the NLP research flow specializing on the legal domain, this work positions itself among the downstream tasks (Table 1). Like [10,13], it uses NER to address a reallife issue, but with a greater number of labels, of different data types and frequencies: where [10] dealt with labels of roughly balanced annotation numbers, we deal with some labels expected to annotate a few word sequences and other ones expected to annotate many such sequences. ...Context 2
... ECLI, the European Case Law identifier, could be generated with even greater quality through some regular expression (regexp) algorithm, "ECLI" has been added as a label because it is a case identifier like three other labels (see Table 1). ...Context 3
... was not clear whether models built on the basis of a specific jurisdictional degree provided higher performance outcomes. A model dedicated to identifiers can extract them with a quality ranging from 90% to 98% (Table 10). Judicial dates can be extracted with a quality between 60% (date of injunction for appellate cases) and 96% (date of appellate case for Cassation). ...Similar publications
Background : Knowledge is evolving over time, often as a result of new discoveries or changes in the adopted methods of reasoning. Also, new facts or evidence may become available, leading to new understandings of complex phenomena. This is particularly true in the biomedical field, where scientists and physicians are constantly striving to find ne...
Citations
... The application of machine learning technologies in the judicial system can be extremely useful. One of the key advantages of AI is the ability to effectively analyze previous court decisions in similar cases to reduce the number of biased verdicts (Mathis, 2022). ...
This work aims to study the organizational and legal aspects of implementing the latest information technologies (IT), including artificial intelligence (AI), in the justice system. The study was based on a comprehensive approach that integrated analytical methods, comparative analysis, the case study method, and risk assessment. It is determined that to improve the existing regulatory framework on the use of IT in the judicial system, it is necessary to regulate the following organizational and legal aspects: I. enshrine compliance with ethical principles, ensure information security, and define responsibility for the risks of using AI systems at the legislative level; II. develop unified standards and requirements for algorithms, models, and data used in AI systems that support the information activities of courts; IV. provide proper guarantees for respect for human rights, prevention of discrimination and bias in the use of AI in legal proceedings; V. ensure transparency of legal regulation, which will increase public confidence in the use of AI technologies in the judicial system; VI. ensure flexibility and adaptability of legal regulation, and promote harmonization of the regulatory framework at the international level through the adoption of generally accepted principles and unified standards for the use of AI systems.
... The use of modern information and communication technology tools can provide automation of the procedure for considering applications, case management before and during trial, analytics and monitoring of judicial trends, identifying cases of different decisions in similar cases, and eliminating conflicts and gaps in legislation [5][6][7]. The development and implementation of reliable ILS in the activities of the justice system can improve the effectiveness of protecting the rights, freedoms, and interests of citizens, as well as the unity and sustainability of judicial practice [8][9][10]. ...
The article comprehensively investigates the information and legal challenges faced by the justice system when making effective decisions, and proposes conceptual foundations for developing reliable information support for this critically important process. The authors emphasize the role of information and legal support in ensuring impartiality, substantiation, efficiency, and transparency of judicial proceedings. Key aspects of information and legal support are analyzed in detail, such as ensuring timely access to up-to-date legal information, providing analytical support for processing large volumes of evidence and documents, protecting confidentiality and personal data, automating routine document operations, and ensuring open access to information about the activities of courts. The article critically examines the shortcomings of the existing hierarchical decision-making model in the justice system, which is subject to the influence of political interests, bureaucratic inefficiency, and significant delays. The decision-making process at various stages of justice is described in detail: crime prevention, pre-trial investigation, court proceedings, obtaining confessions, sentencing and post-trial decisions, as well as crime detection. The need to develop a unified decision support system for consolidating information flows and providing comprehensive analytical support to participants in legal proceedings is emphasized.
