HALC: An AI-Driven Legal Decision-Making Framework - A Qualitative NVivo Case Study on Tribal Rights

Title

HALC: An AI-Driven Legal Decision-Making Framework - A Qualitative NVivo Case Study on Tribal Rights

Creator

Sahoo, Prajnee Samedhini; Bang, Sanjay

Description

This study proposes a structured human-AI collaboration framework for legal and ethical decision-making, integrating artificial intelligence with human expertise. Unlike fully automated AI systems, it prioritizes transparency, accountability, and ethical oversight. Through expert interviews with legal professionals and AI technologists, we identified key challenges, including bias, lack of explainability, and the need for human validation. Using thematic analysis in NVivo, we developed a stepwise framework that ethically collects data, applies AI-driven analysis, ensures human oversight, and informs policy decisions. This approach enhances human judgment rather than replacing it, with potential applications in law, governance, and public policy. Future research will test and refine this framework. 2025 IEEE.

Source

2025 IEEE 5th International Conference on ICT in Business Industry and Government, ICTBIG 2025;

Date

01-01-2025

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Accountability; Ethical AI; Explainability; Human-AI collaboration; Legal AI; Transparency

Coverage

Sahoo P.S., SVKM's Pravin Gandhi College of Law, Mumbai, India, Christ University, Lavasa Campus, Lavasa, India; Bang S., Christ University, Lavasa Campus, Lavasa, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833157981-4;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICTBIG68706.2025.11323618

https://www.scopus.com/pages/publications/105032820923?origin=resultslist