3 citations · 4 across the 3 of their papers we have counts for
5 papers
Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence
Jinzhe Tan, Ali Ekber Cinar, Karim Benyekhlef
Visual evidence has long been treated as a reliable form of legal proof, but advances in artificial intelligence (AI) are undermining that assumption. This article asks how well hu…
LegalWebAgent: Empowering Access to Justice via LLM-Based Web Agents
Jinzhe Tan, Karim Benyekhlef
Access to justice remains a global challenge, with many citizens still finding it difficult to seek help from the justice system when facing legal issues. Although the internet pro…
Robots in the Middle: Evaluating LLMs in Dispute Resolution
Jinzhe Tan, Hannes Westermann, Nikhil Reddy Pottanigari +4
Mediation is a dispute resolution method featuring a neutral third-party (mediator) who intervenes to help the individuals resolve their dispute. In this paper, we investigate to w…
Toward an Intelligent Tutoring System for Argument Mining in Legal Texts
Hannes Westermann, Jaromir Savelka, Vern R. Walker +2
We propose an adaptive environment (CABINET) to support caselaw analysis (identifying key argument elements) based on a novel cognitive computing framework that carefully matches v…
Data-Centric Machine Learning in the Legal Domain
Hannes Westermann, Jaromir Savelka, Vern R. Walker +2
Machine learning research typically starts with a fixed data set created early in the process. The focus of the experiments is finding a model and training procedure that result in…