LLMs show potential for legal decision-making in VAT law, but limitations remain

A new study published on arXiv explores the use of large language models (LLMs) to assist in legal decision-making for Austrian and European Union value-added tax law. The research evaluates fine-tuning and retrieval-augmented generation (RAG) methods to enhance LLM performance on both textbook and real-world cases. While LLMs show potential for automating routine tasks and providing initial analyses for tax professionals, the study concludes they are not yet ready for full automation due to the legal domain's sensitivity and the risk of hallucinations. AI

IMPACT LLMs can potentially automate routine legal tasks, but current limitations require human oversight in sensitive domains.

RANK_REASON Academic paper detailing experimental evaluation of LLMs for a specific legal domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

• arXiv
• Austrian value-added tax law
• Christoph Schuetz
• European Union
• Hugging Face
• large language models

• paper
• other

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