Supporting the Legal Reasoning Process by Classification of Judgments Applying Active Machine Learning
The digitalization of information is transforming the way we live and creating many new busi- ness models. Digitalization is also taking place in the legal domain. Legal documents, such as contracts and general terms and conditions, are produced thousands of times a day due to nu- merous online contract generators, e-commerce platforms, banks and insurance companies. As a result, computer-aided legal reasoning has become an attractive research area. The purpose of this research is to investigate the applicability of active machine learning and binary legal text classification in order to detect sentences, providing a statement about the ineffectiveness of a clause.
| Attribute | Value |
|---|---|
| Address | Salzburg, Austria |
| Authors | Ingo Glaser , Dr. Jörg Landthaler , Prof. Dr. Florian Matthes |
| Citation | Glaser, I.; Landthaler, J.; Matthes,F.: Supporting the Legal Reasoning Process by Classification of Judgments Applying Active Machine Learning, IRIS: Internationales Rechtsinformatik Symposium, Salzburg, Austria, 2019 |
| Key | Gl19a |
| Research project | Lexalyze - Interdisciplinary Research Program , Semantic Analysis of Court Rulings |
| Title | Glaser, I; Landthaler, J.; Matthes,F.: Supporting the Legal Reasoning Process by Classification of Judgments Applying Active Machine Learning, IRIS: Internationales Rechtsinformatik Symposium, Salzburg, Austria, 2019 |
| Type of publication | Conference |
| Year | 2019 |
| Publication URL | http://jusletter-it.weblaw.ch/issues/2019/IRIS/supporting-the-legal_aaa3f8a875.html |
| Acronym | IRIS 2019 |
| Project | |
| Team members |