arXiv Open Access 2024

Evaluating AI for Law: Bridging the Gap with Open-Source Solutions

Rohan Bhambhoria Samuel Dahan Jonathan Li Xiaodan Zhu
Lihat Sumber

Abstrak

This study evaluates the performance of general-purpose AI, like ChatGPT, in legal question-answering tasks, highlighting significant risks to legal professionals and clients. It suggests leveraging foundational models enhanced by domain-specific knowledge to overcome these issues. The paper advocates for creating open-source legal AI systems to improve accuracy, transparency, and narrative diversity, addressing general AI's shortcomings in legal contexts.

Topik & Kata Kunci

Penulis (4)

R

Rohan Bhambhoria

S

Samuel Dahan

J

Jonathan Li

X

Xiaodan Zhu

Format Sitasi

Bhambhoria, R., Dahan, S., Li, J., Zhu, X. (2024). Evaluating AI for Law: Bridging the Gap with Open-Source Solutions. https://arxiv.org/abs/2404.12349

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓