Researchers Publish Paper in SAGE Open, Examining AI, Language, and Legal Intersections in 610 Peer-Reviewed Studies
| Source: Mastodon | Original article
Researchers analyze AI's impact on law, identifying key areas for improvement. A new study maps the evolution of legal NLP.
A new paper published in SAGE Open explores the intersection of AI, language, and law, analyzing 610 peer-reviewed papers from 2001 to 2024. This research maps the evolution of legal NLP from symbolic systems to large language model-era Legal AI, highlighting areas where the field remains fragmented, including explainability, multilingual legal NLP, governance, and interdisciplinary collaboration.
This study matters because it sheds light on the complexities of integrating AI into legal frameworks, which is crucial for ensuring accountability, transparency, and fairness in AI-driven decision-making. The findings have implications for the development of more effective and responsible AI systems in legal contexts.
As the field of AI and law continues to evolve, it is essential to watch for further research on addressing the identified gaps, particularly in explainability and multilingual legal NLP. Additionally, policymakers and practitioners should pay attention to the development of governance frameworks that can balance the benefits of AI with the need for accountability and transparency in legal applications.
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