3CEL: A corpus of legal Spanish contract clauses

TL;DR

This paper introduces 3CEL, a new annotated corpus of Spanish legal contract clauses designed to facilitate NLP tasks in legal domain understanding and review, addressing resource scarcity in Spanish legal NLP.

Contribution

The paper presents the creation and annotation of 3CEL, a comprehensive legal Spanish contract clause corpus with detailed tagging for contract information extraction.

Findings

Contains 373 manually annotated tenders

Includes 19 categories with 4,782 total tags

Aims to improve legal NLP in Spanish

Abstract

Legal corpora for Natural Language Processing (NLP) are valuable and scarce resources in languages like Spanish due to two main reasons: data accessibility and legal expert knowledge availability. INESData 2024 is a European Union funded project lead by the Universidad Polit\'ecnica de Madrid (UPM) and developed by Instituto de Ingenier\'ia del Conocimiento (IIC) to create a series of state-of-the-art NLP resources applied to the legal/administrative domain in Spanish. The goal of this paper is to present the Corpus of Legal Spanish Contract Clauses (3CEL), which is a contract information extraction corpus developed within the framework of INESData 2024. 3CEL contains 373 manually annotated tenders using 19 defined categories (4 782 total tags) that identify key information for contract understanding and reviewing.