no code implementations • RANLP 2021 • Olivier Salaün, Philippe Langlais, Karim Benyekhlef
Legal judgment prediction (LJP) usually consists in a text classification task aimed at predicting the verdict on the basis of the fact description.
1 code implementation • 1 Nov 2023 • Samyar Janatian, Hannes Westermann, Jinzhe Tan, Jaromir Savelka, Karim Benyekhlef
We use LLMs to create pathways from legislation, according to the JusticeBot methodology for legal decision support systems, evaluate the pathways and compare them to manually created pathways.
no code implementations • 27 Jul 2023 • Hannes Westermann, Jaromir Savelka, Karim Benyekhlef
In this article, we introduce LLMediator, an experimental platform designed to enhance online dispute resolution (ODR) by utilizing capabilities of state-of-the-art large language models (LLMs) such as GPT-4.
no code implementations • 27 Jul 2023 • Hannes Westermann, Karim Benyekhlef
We also present an interface to build tools using this methodology and a case study of the first deployed JusticeBot version, focused on landlord-tenant disputes, which has been used by thousands of individuals.
no code implementations • 24 Oct 2022 • Hannes Westermann, Jaromir Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
We propose an adaptive environment (CABINET) to support caselaw analysis (identifying key argument elements) based on a novel cognitive computing framework that carefully matches various machine learning (ML) capabilities to the proficiency of a user.
no code implementations • 17 Jan 2022 • Hannes Westermann, Jaromir Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
The results also indicate that enhancements to a data set could be considered, alongside the advancement of the ML models, as an additional path for increasing classification performance on various tasks in AI & Law.
no code implementations • 21 Dec 2021 • Hannes Westermann, Jaromir Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
We use this observation in allowing annotators to quickly view and annotate sentences that are semantically similar to a given sentence, across an entire corpus of documents.
1 code implementation • 15 Dec 2021 • Jaromir Savelka, Hannes Westermann, Karim Benyekhlef, Charlotte S. Alexander, Jayla C. Grant, David Restrepo Amariles, Rajaa El Hamdani, Sébastien Meeùs, Michał Araszkiewicz, Kevin D. Ashley, Alexandra Ashley, Karl Branting, Mattia Falduti, Matthias Grabmair, Jakub Harašta, Tereza Novotná, Elizabeth Tippett, Shiwanni Johnson
In this paper, we examine the use of multi-lingual sentence embeddings to transfer predictive models for functional segmentation of adjudicatory decisions across jurisdictions, legal systems (common and civil law), languages, and domains (i. e. contexts).
no code implementations • 15 Dec 2021 • Jaromir Savelka, Hannes Westermann, Karim Benyekhlef
We analyze the ability of pre-trained language models to transfer knowledge among datasets annotated with different type systems and to generalize beyond the domain and dataset they were trained on.
no code implementations • 10 Dec 2021 • Hannes Westermann, Jaromir Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
In this paper, we present a method of building strong, explainable classifiers in the form of Boolean search rules.