Work

Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France

Year: 2020

Type: preprint

Abstract: Artificial Intelligence techniques are already popular and important in the legal domain. We extract legal indicators from judicial judgment to decrease the asymmetry of information of the legal system and the access-to-justice gap. We use NLP methods to extract interesting entities/data from judgments to construct networks of lawyers and judgments. We propose metrics to rank lawyers based on their experience, wins/loss ratio and their importance in the network of lawyers. We also perform community detection in the network of judgments and propose metrics to represent the difficulty of cases capitalising on communities features.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2006.06251

Authors: Boniol, Paul, Panagopoulos, George, Xypolopoulos, Christos, Hamdani, Rajaa El, Amariles, David Restrepo, Vazirgiannis, Michalis

Institutions: École Polytechnique, Laboratoire d'Informatique de l'École Polytechnique, HEC Paris

Language: English

Topic: Artificial Intelligence in Law

Subfield: Political Science and International Relations

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

OpenAlex ID: W3081663193

Cites: 14

Cited by: 13

Related to: 10