Subjective paper evaluation is a tricky and tiresome task to do by manual labor. Insufficient
understanding and acceptance of data are crucial challenges while analyzing subjective …

Topic modeling techniques are popularly used for document clustering, large-scale text
analysis, information extraction from unstructured text documents, feature selection from …

Recommender systems assist legal professionals in finding relevant literature for supporting
their case. Despite its importance for the profession, legal applications do not reflect the …

This research conducted a Systematic Literature Review (SLR) to observe the application of
graph mining techniques in detecting document law similarities. Graph mining, where nodes …

Taking decisions by comparing two text documents is a new innovative idea. Text
documents contain details, rules and information related to a domain. The judiciary system is …

The similar case matching task aims to detect which two cases are more similar for a given
triplet. It plays a significant role in the legal industry and thus has gained much attention …

This paper describes an application of textual similarity techniques in the Legal Informatics
domain. In European law, a relevant interest relates to the transposition of EU directives by …

摘要在现有的裁判文书检索系统上, 非专业领域的用户检索具有局限性. 目前,
法律领域的智能检索仅在基于裁判文书的法律条文的推荐和分类上开展了研究 …

The General Data Protection Regulation (GDPR) was enforced in 2018. After this
enforcement, many fines have already been imposed by national data protection authorities …

In recent years, LegalAI has rapidly attracted the attention of AI researchers and legal
professionals alike. Elements of LegalAI are known as legal elements. These elements can …