Leveraging AI-Driven Chatbots for Legal Literacy: Advanced Computing and Communication Technologies for Legal Awareness

In a democratic society, public legal awareness is crucial for empowering citizens with knowledge of their rights and obligations. However, the vast complexity and volume of legal information can make it difficult for non-experts to access and understand their legal standing. This paper explores the development and deployment of AI-driven chatbot systems aimed at enhancing public legal literacy. These systems leverage advanced computing techniques, including natural language processing (NLP) and machine learning (ML) algorithms, to process legal queries and deliver personalized legal information to users in real time. The architecture, scalability, and implementation challenges of deploying these chatbots across diverse communication platforms (e.g., web, mobile) are examined. Additionally, the paper addresses the potential of these systems to bridge the gap in legal knowledge for underserved populations and discusses the importance of real-time communication technologies for ensuring effective system performance. Finally, the paper explores future advancements to further integrate AI and communication technologies for widespread legal literacy.

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Published
2024-12-20
DOI
https://doi.org/10.1109/icaiqsa64000.2024.10882305
Citations
2
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
4.46
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Leveraging AI-Driven Chatbots for Legal Literacy: Advanced Computing and Communication Technologies for Legal Awareness

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2 citations
Artificial Intelligence in Law
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article

Leveraging AI-Driven Chatbots for Legal Literacy: Advanced Computing and Communication Technologies for Legal Awareness

Rohan Bhalla, Chetan Trivedi, Disha Dogra, Naseer Ahmad Lone, Sunil Kumar, Mohd Imran
article en
2 citations

Abstract

In a democratic society, public legal awareness is crucial for empowering citizens with knowledge of their rights and obligations. However, the vast complexity and volume of legal information can make it difficult for non-experts to access and understand their legal standing. This paper explores the development and deployment of AI-driven chatbot systems aimed at enhancing public legal literacy. These systems leverage advanced computing techniques, including natural language processing (NLP) and machine learning (ML) algorithms, to process legal queries and deliver personalized legal information to users in real time. The architecture, scalability, and implementation challenges of deploying these chatbots across diverse communication platforms (e.g., web, mobile) are examined. Additionally, the paper addresses the potential of these systems to bridge the gap in legal knowledge for underserved populations and discusses the importance of real-time communication technologies for ensuring effective system performance. Finally, the paper explores future advancements to further integrate AI and communication technologies for widespread legal literacy.

Chandigarh University (IN)
Quality Education
Openalex Percentile: Top 4%
Artificial Intelligence in Law
4.46
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