International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 05 | May 2023
p-ISSN: 2395-0072
www.irjet.net
IoT, Big Data and AI Applications in the Law Enforcement and Legal System: A Review Md. Shahin Kabir1, Mohammad Nazmul Alam2 1Assistant Professor, Department of Law, Raffles University, Neemrana, Rajasthan, India
2Assistant Professor, Department of Computer Applications, Guru Kashi University, Talwandi Sabo, Bathinda, India
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Abstract - The use of technology in the legal system is not a new phenomenon. From the invention of the printing press in the 15th century to the development of the internet in the 20th century, technological advancements have played a significant role in shaping the legal system. However, in recent years, the pace of technological development has accelerated, and the latest technologies such as the IoT, big data, and AI are transforming the legal system in unprecedented ways. This paper aims to explore the applications of these technologies in the legal system and the impact they have on legal proceedings. It focuses on the applications of IoT, Big Data, and AI technologies in the legal system. The paper does not provide a detailed analysis of the legal system but rather focuses on the role of these technologies in improving the efficiency and effectiveness of law enforcement and the legal system. The paper provides a comprehensive review of the literature on the use of IoT, Big Data, and AI in the legal system and presents some of the applications, challenges, and opportunities that arise from their implementation including its ethical considerations. We analyze the current state of research on this topic and identify key trends and future directions.
Present a survey of the current literature on emerging technology in law Explain the different applications in law enforcement and the legal system Explain the proposed architectural model of legal expert systems Discusses the benefits of using the technology in law Explain the challenges and opportunities of implementation of the technology in the law field. Provides the open issues for future directions in this field.
Keywords: IoT, Big Data, AI, legal system, challenges, opportunities
A. Literature Selection Process To have a clear picture of emerging technology in the law environment, this section provides an extensive literature review of the research on IoT, Big data, and AI in law enforcement and legal system. The paper collection strategy consists of three main stages:
I.
Organization of the Research: The rest of the paper is organized as follows: Section II explains the literature survey of the current study in this field. Different applications of IoT, Big data, and AI will be presented in section III. We present proposed knowlwdge base architecture of legal expert systems in section IV. Section V presents implementation challenges. Section VI provides the future directions and, we conclude in section VII.
II.
INTRODUCTION
In recent years, the integration of the Internet of Things (IoT), Big Data (BD), and Artificial Intelligence (AI) technologies has significantly transformed various sectors, including the legal system. The legal system is a complex and time-consuming process that involves various stakeholders, including judges, lawyers, law enforcement agencies, and citizens. The integration of IoT, Big Data, and AI technologies in the legal system can help streamline the process and make it more efficient and effective.
Stage 1 Define the keywords to search relevant papers from electronic databases (ProQuest, IEEE Xplorer, and Science Direct). Considering the alternatives and other synonyms of essential components of the keyword, the subsequent searching string was defined: (“IoT” OR “Big Data” OR “AI” OR “Expert Systems” OR “Machine Learning”) AND (“Law Enforcement” OR “Legal System” OR “Courtroom”)
Research contribution: This paper presents the literature review to study the contemporary status of modern technology approaches in Law enforcement and the legal system. The paper makes the following contributions:
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Impact Factor value: 8.226
LITERATURE REVIEW
Stage 2 Select papers based on the title, publication year, and language written in English. To make sure that only highquality publications were included in the study, we spotlight journal publications and conference papers
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