Generally, the present disclosure is directed to gathering legal precedent from a corpus of law. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict decision data from a court decision based on the court decision (e.g., a textual copy of the court decision)
Machine learning can be used to help guide and regulate adjudicator decisions, increasing the reliab...
Legal professionals globally are under pressure to provide ‘more for less' – not an easy challenge i...
This 290-page research monograph describes the authors’ significant original work on how Knowledge D...
Widespread application of uninterpretable machine learning systems for sensitive purposes has spurre...
Silva, H., António, N., & Bacao, F. (2022). A Rapid Semi-automated Literature Review on Legal Preced...
Abstract: Significant obstacles must be overcome if machine learning techniques are to be applied in...
AbstractLegal analysis is a task underlying many forms of legal problem solving. In the Anglo-Americ...
In common law jurisdictions, legal professionals cite facts and legal principles from precedent case...
The central theme of this chapter is that the application of machine learning to data in the legal d...
Envisaging legal cases’ outcomes can assist the judicial decision-making process. Prediction is poss...
Approaches to court case prediction using machine learning differ widely with varying levels of succ...
Legal Judgment Prediction (LJP) has become an increasingly crucial task in Legal AI, i.e., predictin...
Formalizing case-based reasoning is an important topic in AI and Law, which has been discussed using...
When courts started publishing judgements, big data analysis (i.e. large-scale statistical analysis ...
We outline a formalization of precedent comparison in the precedent model formalism.</p
Machine learning can be used to help guide and regulate adjudicator decisions, increasing the reliab...
Legal professionals globally are under pressure to provide ‘more for less' – not an easy challenge i...
This 290-page research monograph describes the authors’ significant original work on how Knowledge D...
Widespread application of uninterpretable machine learning systems for sensitive purposes has spurre...
Silva, H., António, N., & Bacao, F. (2022). A Rapid Semi-automated Literature Review on Legal Preced...
Abstract: Significant obstacles must be overcome if machine learning techniques are to be applied in...
AbstractLegal analysis is a task underlying many forms of legal problem solving. In the Anglo-Americ...
In common law jurisdictions, legal professionals cite facts and legal principles from precedent case...
The central theme of this chapter is that the application of machine learning to data in the legal d...
Envisaging legal cases’ outcomes can assist the judicial decision-making process. Prediction is poss...
Approaches to court case prediction using machine learning differ widely with varying levels of succ...
Legal Judgment Prediction (LJP) has become an increasingly crucial task in Legal AI, i.e., predictin...
Formalizing case-based reasoning is an important topic in AI and Law, which has been discussed using...
When courts started publishing judgements, big data analysis (i.e. large-scale statistical analysis ...
We outline a formalization of precedent comparison in the precedent model formalism.</p
Machine learning can be used to help guide and regulate adjudicator decisions, increasing the reliab...
Legal professionals globally are under pressure to provide ‘more for less' – not an easy challenge i...
This 290-page research monograph describes the authors’ significant original work on how Knowledge D...