Using Large Language Models for Legal Decision-Making in Austrian Value-Added Tax Law: A Comparative Study (Supplementary Material)

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Anonymous, Andrea Benkel, Christoph G. Schuetz
DOI: 10.5281/zenodo.21374158
Cited by: 1

Abstract

This repository contains supplementary material for a comparative study on using LLMs for legal decision-making in Austrian value-added tax (VAT) law. The repository contains textbook and real-world VAT cases used for experiments in the Microsoft Foundry. The prompt flows and results from the experiment runs are also included, along with manual evaluations of textual justifications.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 July 2026
Document type
Dataset