Quantitative Approaches to Legal Decision-Making: The Mathematics of Justice

Year : 2024 | Volume : 13 | Issue : 03 | Page : 27 31
    By

    Manmeet Kaur Arora,

  • Sahil Lal,

  • Bhupendra singh,

  1. Research Scholar, Department of Law Sharda University, Uttar Pradesh, India
  2. Research Scholar, Department of Law ,Sharda University, Uttar pradesh, India
  3. professor, Deapartment of Law , Sharda University, Uttar pradesh, India

Abstract

The research paper examines the application of quantitative approaches to decision-making in legal systems, presenting the concept of “mathematical justice.” As legal systems grow increasingly complex, the adoption of statistical and data-driven methods can provide valuable insights, offering clarity and consistency to judicial processes. By leveraging these methods, courts and policymakers can make more informed, evidence-based decisions, enhancing both fairness and accountability within the justice system. The paper is divided into three chapters, each focusing on different areas where quantitative techniques can be applied. These include predictive analytics for identifying trends and risks, the formulation and refinement of sentencing guidelines, and the evaluation of public policies. By illustrating the potential of these approaches, the research highlights how quantitative methods can bring greater transparency and objectivity to legal and criminal justice systems. However, it also acknowledges the challenges and limitations that accompany this transition. Issues such as data quality, ethical considerations, and resistance from traditional legal practitioners are identified as significant barriers to widespread adoption. To address these concerns, the paper advocates for a mixed-methods approach that integrates quantitative analysis with qualitative insights. This combination allows for a deeper and more nuanced understanding of legal phenomena, capturing both numerical trends and the human elements of justice. By adopting such an approach, the study argues, the legal system can evolve toward greater equity and effectiveness, ensuring that decisions are informed by robust data while remaining sensitive to societal values and ethical standards. Ultimately, the research calls for a paradigm shift in how legal systems operate, urging stakeholders to embrace quantitative methodologies alongside traditional practices. Doing so, it contends, will foster evidence-based decision-making at every stage, creating a justice system that is not only more efficient but also more just and equitable for all.

Keywords: Mathematics, legal analysis, logical reasoning, cognitive science, artificial intelligence

[This article belongs to Research & Reviews : Journal of Statistics ]

How to cite this article:
Manmeet Kaur Arora, Sahil Lal, Bhupendra singh. Quantitative Approaches to Legal Decision-Making: The Mathematics of Justice. Research & Reviews : Journal of Statistics. 2025; 13(03):27-31.
How to cite this URL:
Manmeet Kaur Arora, Sahil Lal, Bhupendra singh. Quantitative Approaches to Legal Decision-Making: The Mathematics of Justice. Research & Reviews : Journal of Statistics. 2025; 13(03):27-31. Available from: https://journals.stmjournals.com/rrjost/article=2025/view=195930


References

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Regular Issue Subscription Original Research
Volume 13
Issue 03
Received 15/12/2024
Accepted 18/01/2025
Published 25/01/2025
174


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