March 26, 2024, 4:52 a.m. | Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun

cs.CL updates on arXiv.org arxiv.org

arXiv:2401.15770v2 Announce Type: replace
Abstract: Machine learning shows promise in predicting the outcome of legal cases, but most research has concentrated on civil law cases rather than case law systems. We identified two unique challenges in making legal case outcome predictions with case law. First, it is crucial to identify relevant precedent cases that serve as fundamental evidence for judges during decision-making. Second, it is necessary to consider the evolution of legal principles over time, as early cases may adhere …

abstract arxiv case cases challenges civil cs.cl identify law legal machine machine learning making pilot prediction predictions research shows systems type

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne