Author(s)

Sarah Chen¹, Michael Rodriguez^2*

Affiliation(s)

¹Sarah Chen, Department of Law and Computer Science, University of New Hampshire, United States.

²Michael Rodriguez, School of Information Technology, Western Michigan University, United States.

Corresponding Author

Michael Rodriguez

ABSTRACT

The legal industry has seen a growing interest in the application of recommendation systems to streamline various legal workflows and enhance decision-making processes. Legal recommendation systems leverage data-driven algorithms to provide personalized advice, predict case outcomes, and assist legal professionals in tasks ranging from legal research to contract analysis. This review article explores the current state of legal recommendation systems, examining their key applications, underlying technologies, and the unique challenges that arise in the legal domain.

The paper delves into the use of legal recommendation systems for tasks such as precedent retrieval, document summarization, litigation strategy formulation, and talent management. It analyzes the integration of advanced techniques like natural language processing, machine learning, and knowledge graphs to power these recommendation systems. Additionally, the review addresses the critical considerations surrounding data privacy, ethical implications, and the need for explainable and accountable systems within the legal industry.

By synthesizing the existing research and industry trends, this review article serves as a comprehensive guide for legal professionals, technology providers, and researchers seeking to understand the transformative potential of recommendation systems in the legal field. It also highlights the emerging areas of focus, including the synergies between legal recommendation systems and emerging technologies like blockchain and artificial intelligence, and the evolving regulatory landscape governing the use of these systems.

KEYWORDS

Legal recommendation systems; Legal technology; Legal research; Litigation strategy; Contract analysis; Data-driven decision making; Natural language processing; Machine learning

CITE THIS PAPER

Sarah Chen, Michael Rodriguez. Legal recommendation systems: applications, technologies, and future directions in the digital age. Multidisciplinary Journal of Engineering and Technology. 2024, 1(2): 17-21. DOI: https://doi.org/10.61784/mjet3015.

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