Practitioner lawyers and legal scientists pay a lot of attention to providing insight into developments and patterns in the judiciary. However, with the question of exactly how they arrive at their insights and account for them, they are entering less familiar territory. Important questions they ask themselves are: How do I collect case law? Which statements do I select or not select for analysis? How do I expose a pattern? How reliable are the insights found? What exactly is their relevance and meaning? And how can software, artificial intelligence or other data science techniques help with this? Methods of systematic case law analysis addresses these and other questions that arise when conducting large-scale case law research. With the...
Widespread application of uninterpretable machine learning systems for sensitive purposes has spurre...
A challenge in computational legal research is the quantitative assessment of 'relevance' in a netwo...
© 1996 Daniel Ashley Douglas HunterOver the past few decades there has emerged a group of researcher...
Practitioner lawyers and legal scientists pay a lot of attention to providing insight into developme...
Clearly, data science is likely to act as an enabling as well as disruptive technology in the domain...
Advances in technology, in particular in artificial intelligence, will continue to have a significan...
One can divide empirical analysis of legal issues into three major branches: (1) the use of scientif...
This contribution explores the application of data science and artificial intelligence to legal rese...
This Master’s Thesis research aims to provide more discussions on how to combine legal decision-maki...
he availability of large collections of digitalized legal texts raises an opportunity for new method...
A key question in the quantitative study of legal rules and judicial decision making is the structur...
Over the years, computation has become a fundamental part of the scientific practice in several rese...
The assessment of the legal professionals’ performance is increasingly important in the market of le...
In this paper we present the results of a study to see whether the number of citations to cases is a...
Widespread application of uninterpretable machine learning systems for sensitive purposes has spurre...
A challenge in computational legal research is the quantitative assessment of 'relevance' in a netwo...
© 1996 Daniel Ashley Douglas HunterOver the past few decades there has emerged a group of researcher...
Practitioner lawyers and legal scientists pay a lot of attention to providing insight into developme...
Clearly, data science is likely to act as an enabling as well as disruptive technology in the domain...
Advances in technology, in particular in artificial intelligence, will continue to have a significan...
One can divide empirical analysis of legal issues into three major branches: (1) the use of scientif...
This contribution explores the application of data science and artificial intelligence to legal rese...
This Master’s Thesis research aims to provide more discussions on how to combine legal decision-maki...
he availability of large collections of digitalized legal texts raises an opportunity for new method...
A key question in the quantitative study of legal rules and judicial decision making is the structur...
Over the years, computation has become a fundamental part of the scientific practice in several rese...
The assessment of the legal professionals’ performance is increasingly important in the market of le...
In this paper we present the results of a study to see whether the number of citations to cases is a...
Widespread application of uninterpretable machine learning systems for sensitive purposes has spurre...
A challenge in computational legal research is the quantitative assessment of 'relevance' in a netwo...
© 1996 Daniel Ashley Douglas HunterOver the past few decades there has emerged a group of researcher...