mlsanityData to 14 Oct 2026

Justifiable Artificial Intelligence: Engineering Large Language Models for Legal Applications

arXiv 2311.15716 ↗First posted 27 Nov 2023cs.CL cs.HC cs.IRcited by 2

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Abstract (arXiv)

In this work, I discuss how Large Language Models can be applied in the legal domain, circumventing their current drawbacks. Despite their large success and acceptance, their lack of explainability hinders legal experts to trust in their output, and this happens rightfully so. However, in this paper, I argue in favor of a new view, Justifiable Artificial Intelligence, instead of focusing on Explainable Artificial Intelligence. I discuss in this paper how gaining evidence for and against a Large Language Model's output may make their generated texts more trustworthy - or hold them accountable for misinformation.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 47 of its 67 references that are in the map. First posted on arXiv 27 Nov 2023.

Builds on

47 of 67 references.

References · 47

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Cited by year

Citing papers per year: 2024: 1; 2025: 1.

2 papers.

  1. 2024Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modelingcited by 3
  2. 2025Mina: A Multilingual LLM-Powered Legal Assistant Agent for Bangladesh for Empowering Access to Justicecited by 2