Skip to main navigation menu Skip to main content Skip to site footer

Peer Reviewed Article

Vol. 5 (2020)

Research on the Court Decide: The Implications of Artificial Intelligence

Submitted
2019 December 13
Published
2020-01-29

Abstract

This article covers the impact of AI on research in the legal profession in general. Court Decide is an essential legal competence. So, to solve diverse legal issues, lawyers must always conduct legal study. While the objective and methods of research differ per lawyer, it is a widespread practice. However, assessing AI's impact on legal research permits assessing AI's impact on the legal profession in general. Moreover, Legal AI shows that the legal profession is not immune to disruption. The study's goal is to discuss the existing and potential consequences of AI on legal research. The study is qualitative and depends heavily on document analysis of primary and secondary sources. As a result, the study indicates that AI effects legal research in numerous ways, both positively and badly. With Strong AI, AI's impact on legal research will be substantially larger than ordinary automation. Moreover, the good consequences of AI outweigh the negative externalities, which are usually transient and tied to technology's disruptive effects on the legal profession.

References

  1. Achar, S. (2015). Requirement of Cloud Analytics and Distributed Cloud Computing: An Initial Overview. International Journal of Reciprocal Symmetry and Physical Sciences, 2, 12–18. Retrieved from https://upright.pub/index.php/ijrsps/article/view/70
  2. Achar, S. (2018a). Data Privacy-Preservation: A Method of Machine Learning. ABC Journal of Advanced Research, 7(2), 123-129. https://doi.org/10.18034/abcjar.v7i2.654
  3. Achar, S. (2018b). Security of Accounting Data in Cloud Computing: A Conceptual Review. Asian Accounting and Auditing Advancement, 9(1), 60–72. https://4ajournal.com/article/view/70
  4. Achar, S. (2019). Behavioral and Perceptual Models for Secure Data Analysis and Management. Global Disclosure of Economics and Business, 8(2), 143-152. https://doi.org/10.18034/gdeb.v8i2.653
  5. Adusumalli, H. P. (2018). Digitization in Agriculture: A Timely Challenge for Ecological Perspectives. Asia Pacific Journal of Energy and Environment, 5(2), 97-102. https://doi.org/10.18034/apjee.v5i2.619
  6. Adusumalli, H. P. (2019). Expansion of Machine Learning Employment in Engineering Learning: A Review of Selected Literature. International Journal of Reciprocal Symmetry and Physical Sciences, 6, 15–19. Retrieved from https://upright.pub/index.php/ijrsps/article/view/65
  7. Adusumalli, H. P., & Pasupuleti, M. B. (2017). Applications and Practices of Big Data for Development. Asian Business Review, 7(3), 111-116. https://doi.org/10.18034/abr.v7i3.597
  8. Andrew, A. (2017). An Ethical Obligation to Use Artificial Intelligence: An Examination of the Use of Artificial Intelligence in Law and the Model Rules of Professional Responsibility. American Journal of Trial Advocacy, 40 (3), 443-459.
  9. Carol, M. B., & Margie, H. (2010). Foundations of Legal Research and Writing (4th ed.). Delmar Cengage Learning.
  10. Chen, S., Deming, C., & Adusumalli, H. P. (2018). Safety Assessment of IoT: Warning Scan for Security. 技术与管理回顾, 1(1), 1–6. Retrieved from https://xn--jhqs8sh4jbvevnt0xk4h3c.xn--6frz82g/index.php/tmr/article/view/1
  11. David, S., Craig, M., & Ragu, G. (2014). Demystifying Artificial Intelligence: What Business Leaders Need to Know about Cognitive Technologies. Deloitte University Press.
  12. Deloitte. (2018). 16 Artificial Intelligence projects from Deloitte: Practical cases of applied AI Unleash the power of AI for your organization. Deloitte Netherlands.
  13. Edwina, L. R. (1981). Artificial Intelligence and Law: Stepping Stones to a Model of Legal Reasoning. Yale Law Journal, 99 (8), 1981-82.
  14. Fadziso, T., Adusumalli, H. P., & Pasupuleti, M. B. (2018). Cloud of Things and Interworking IoT Platform: Strategy and Execution Overviews. Asian Journal of Applied Science and Engineering, 7, 85–92. Retrieved from https://upright.pub/index.php/ajase/article/view/63
  15. Maxim, D. (2019). The Influence of Artificial Intelligence on Criminal Liability, Challenges of the Knowledge Society. Criminal Law, Lex ET Scientia Int’l J., 140, 48-52.
  16. Nachshon, S. G., & Giulia, D. (2019). A Note on Science, Legal Research and Artificial Intelligence. Information & Communications Technology Law, 28 (3). 239-251. https://doi.org/10.1080/13600834.2019.1644065
  17. Pasupuleti, M. B. (2017). AMI Data for Decision Makers and the Use of Data Analytics Approach. Asia Pacific Journal of Energy and Environment, 4(2), 65-70. https://doi.org/10.18034/apjee.v4i2.623
  18. Pasupuleti, M. B. (2018). The Application of Machine Learning Techniques in Software Project Management- An Examination. ABC Journal of Advanced Research, 7(2), 113-122. https://doi.org/10.18034/abcjar.v7i2.626
  19. Pasupuleti, M. B., & Adusumalli, H. P. (2018). Digital Transformation of the High-Technology Manufacturing: An Overview of Main Blockades. American Journal of Trade and Policy, 5(3), 139-142. https://doi.org/10.18034/ajtp.v5i3.599
  20. Pasupuleti, M. B., & Amin, R. (2018). Word Embedding with ConvNet-Bi Directional LSTM Techniques: A Review of Related Literature. International Journal of Reciprocal Symmetry and Physical Sciences, 5, 9–13. Retrieved from https://upright.pub/index.php/ijrsps/article/view/64
  21. Pasupuleti, M. B., Miah, M. S., & Adusumalli, H. P. (2019). IoT for Future Technology Augmentation: A Radical Approach. Engineering International, 7(2), 105-116. https://doi.org/10.18034/ei.v7i2.601
  22. Rahman, M. M., Pasupuleti, M. B., & Adusumalli, H. P. (2019). Advanced Metering Infrastructure Data: Overviews for the Big Data Framework. ABC Research Alert, 7(3), 159-168. https://doi.org/10.18034/abcra.v7i3.602
  23. Steven, L.,& Mathias, R. (2019). The Future Impact of Artificial Intelligence on Humans and Human Rights. Ethics & International Affairs, 33 (2), 141-158.
  24. Tania, S. (2018). Judge V Robot? Artificial Intelligence and Judicial Decision Making. UNSW Law Journal, 41 (1), 1114-33. http://www.unswlawjournal.unsw.edu.au/article/
  25. Taylor, B. S. (2019). The Ethical Implications of Artificial Intelligence in the Law. Gonzaga University Law Review, 55 (11), 217-236.
  26. Teresa, R. B. (2019). Legal Challenges of Artificial Intelligence: Modeling the Disruptive Features of Emerging Technologies and Assessing their possible Legal Impact. University of Florida L. Rev. 24, 302-314.
  27. Thomas, J. B. (2018). Artificial Intelligence in Court Legitimacy Problems of AI Assistance in the Judiciary. Retskraft-Copenhagen Journal of Legal Studies, 2 (1), 41-59.
  28. Thomas, J. C. (1978). A Modest Programme for the Improvement of Law Teaching. Victoria University of Wellington Law Review, 9 (4), 405-426.
  29. Whittlestone, J., Nyrup, R., & Alexandrova, A. (2019). Ethical and societal implications of algorithms, data, and artificial intelligence: a roadmap for research. Nuffield Foundation.
  30. Zoubin, G. (2015). Probabilistic Machine Learning and Artificial Intelligence. Nature, 521, 452-459. https://www.nature.com/articles/nature14541

Similar Articles

1-10 of 19

You may also start an advanced similarity search for this article.