We group parties (with their legal counsels), lawyers, clerks, and judges involved in a court decision as judicial persons. We define the Judicial Person Extraction task as follows: Extracting judicial persons’ names, gender, and occupation from court decisions. The results of this task can be used to study bias in the judicial system (e.g. lawyers of a specific gender are more successful at a specific court, are men more likely to go to prison?) This project will extract judicial persons from the rubrum (header) of Swiss court decisions.
From the rubrum of the decision of the Zurich Administrative Court AB.2009.00001:
Beschluss
der 4. Kammer
vom 13. Januar 2010
Mitwirkend: Abteilungspräsident Jso Schumacher (Vorsitz), Verwaltungsrichter Lukas Widmer, Verwaltungsrichterin Maja Schüpbach Schmid, Gerichtssekretär Philip Conradin.
In Sachen
A, vertreten durch Rechtsanwalt B,
Beschwerdeführerin,
gegen
Staat Zürich, vertreten durch die Volkswirtschaftsdirektion des Kantons Zürich,
Beschwerdegegner,
betreffend Aufsichtsbeschwerde / Kostenauflage,
You would extract the following JSON:
{
“president”: {“firstname”: “Jso”, “lastname”: “Schumacher”, “gender”: “male”},
“judges”: [{“firstname”: “Lukas”, “lastname”: “Widmer”, “gender”: “male”}, {“firstname”: “Maja”, “lastname”: “Schüpbach Schmid”, “gender”: “female”}],
“clerks”: [{“firstname”: “Philip”, “lastname”: “Conradin”, “gender”: “male”}],
“complainant”: [{“name”: “A”, “legal counsel”: “B”}],
“respondent”: [{“name”: Volkswirtschaftsdirektion des Kantons Zürich”}]
}