Abstract

This project seeks to make a valuable contribution to the field by creating an enhanced and efficient approach for document conversion and annotation within the legal domain. To achieve this goal, the project involves the development of a Python library that empowers seamless data processing. By extending the functionality of the open-source annotation tool, Doccano, the proposed method allows for enriching the label functionality of the tool with existing ontologies and controlled vocabularies, enabling comprehensive end-to-end processing. Through this approach, the project aims to streamline and improve the document annotation process, benefiting legal professionals and researchers alike.