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AI Present and Future in the Legal Fields Under the RCEP

글 | 관리자  2023-07-25 / 01:07

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AI Present and Future in the Legal Fields Under the RCEP[1]

 

Richard Sung Youl Kim[2]

 

 

 

I.            Introduction

 

The rapid advancements in Artificial Intelligence (AI) are significantly impacting various sectors, not least the legal field. Under the framework of the Regional Comprehensive Economic Partnership (RCEP), AI has emerged as an invaluable tool in fostering cooperation, understanding, and shared learning within legal practice. This paper explores the present and future prospects of AI in the legal field under the RCEP, highlighting its role, challenges, opportunities, and potential for the development of a cooperative legal framework that can harmonize laws across the region.[3]

 

AI has facilitated a deeper understanding and interpretation of complex legal structures, thereby aiding the alignment of legal systems and standards among RCEP member countries.[4] As a tool, it has acted as a catalyst in leveraging collective knowledge and tools for improved legal services. Furthermore, the advent of neural network models and pattern recognition in AI allows for an effective analysis of legal data, providing valuable insights for case law interpretation and policy decisions.[5]

 

AI's role in facilitating the exportation of digital infrastructure and overseas technology cannot be overstated. It allows us to understand foreign regulations and legal requirements efficiently, consequently promoting technology trade and innovation across RCEP member countries. Moreover, AI can assist in the harmonization of laws across the RCEP region by aiding the coordination of regulations and government support. This feature creates a seamless environment for business and legal cooperation, a factor pivotal to the success of the RCEP.

 

However, the integration of AI within the legal field also presents certain challenges and opportunities. One of the major benefits of AI is its potential to significantly reduce cost and improve decision-making within legal practices. Through machine learning algorithms, vast amounts of data can be analyzed faster and more accurately than human capacity allows, leading to more informed decisions and efficient legal processes.

 

Yet, striking a balance between technology development and human expertise is crucial. As AI automates tasks, the need for human expertise remains, especially in complex legal issues that require subjective judgment and ethical considerations. Thus, the challenge lies in the successful integration of AI into legal practice without compromising the quality of service.

 

II.          The Socio-Legal Implications of AI Integration and the Future of the Legal Profession under the RCEP

 

The fluid evolution of AI technology necessitates that our legal frameworks and regulations evolve correspondingly.[6] Therefore, we need to continuously adapt our laws to cater to the potential legal issues arising from AI's growth and widespread adoption.

 

In terms of international cooperation, the borderless nature of AI implies that our cooperation efforts should also be without boundaries. By working collaboratively, we can ensure a fair and beneficial use of AI technology across the RCEP member countries.[7]

 

Moreover, we need to prepare for substantial changes in the industry and future trends. As AI continues to advance, the legal profession is bound to undergo significant transformations. It is incumbent upon us to adapt and innovate in response to these changes, to fully harness the benefits of AI in the legal field.[8]

 

In addition to the opportunities and challenges presented by AI, corporate social responsibility (CSR) is a critical aspect that requires our attention. Fair technology development and distribution is a priority. As AI becomes increasingly central to legal practice, we must ensure that it is developed and distributed in a way that benefits all, rather than a select few.[9]

 

 

Ensuring the responsible use of artificial intelligence is crucial. As AI increasingly integrates into legal systems, the necessity to use it ethically and responsibly to uphold individual rights and justice principles becomes paramount.

 

Alongside responsible usage, the establishment of ethical standards and social values is of vital importance. These standards must be adaptive and in line with evolving AI technology, guaranteeing that AI's use in legal practice aligns with societal values.[10]

 

Data protection and information control pose a significant challenge.[11] As AI relies heavily on data, it is vital to establish robust systems to protect this data, ensuring its responsible and ethical use.

 

Lastly, we need to commit to a sustainable future vision. AI's use in the legal field should not undermine our collective pursuit of sustainability, but contribute to it. A keen focus on sustainable practices in the AI field will help us strike a balance between technological advancement and the preservation of our natural and social resources.

 

Looking ahead, it becomes clear that development of manpower in tandem with AI progress is critical.[12] Developing an understanding of international culture and a global perspective is crucial as AI links us across borders. As the legal landscape shifts under the influence of AI, legal professionals will need to be well-versed in understanding diverse cultures and adopting a global perspective.

 

III.       The Societal Impact of AI and the Need for continuous Learning and Development in the Legal Profession

 

Improvement of AI ability is another crucial area. Legal professionals must equip themselves with AI skills to stay relevant in the rapidly changing landscape.[13] Continuous education and specialization will be critical in this regard. The legal field should invest in ongoing learning programs that focus on AI and its applications in law.

 

A mindset of creative thinking and a cooperative attitude will play a major role in navigating the uncertainties of AI in law.[14] Adaptation to flexible perceptions and changes will ensure that we are prepared for the transformations AI will bring.[15] As the dynamics of AI and law continue to transform, the field must be ready to unlearn, learn, and relearn.

 

 

The social influence of AI in the legal field cannot be ignored, and it is likely to bring about significant changes in the service quality, employment market, and even the social structure. With AI, legal services are becoming faster, more accurate, and readily available, enhancing the overall service quality.[16] Moreover, AI's capability to automate many routine tasks could shift the roles of legal professionals towards more complex and strategic tasks.[17]

 

Transition of existing occupations and changes in social structures are another point of focus.[18] Traditional roles may morph or become obsolete, while new roles will emerge in their place. Furthermore, AI can help in the prevention of crime and cheating by detecting patterns and anomalies faster than humans can. For instance, AI can assist in spotting financial frauds or identifying potential threats to national security.[19]

 

The impact of AI on human rights and personal information protection is an important aspect to consider. AI should be designed and used in a way that respects and upholds human rights and privacy, forming the cornerstone of our societal values.

 

 

Taking a positive view of these developments, AI holds the potential to significantly enhance the legal industry. By streamlining operations, improving accuracy, and enabling new services, AI could increase accessibility and reduce costs for clients, leading to a more equitable legal system. Furthermore, AI is integral to the development of a knowledge-based society. By automating routine tasks, it allows legal professionals to focus on higher-level work that requires human insight and judgment.[20]

 

AI also holds great promise in improving public accessibility to legal services. For example, AI chatbots can provide basic legal advice 24/7, making legal assistance more readily available to those who may not otherwise have access to it.[21]

 

IV.      Sustainability,International Competitiveness, and Pending Legal Issues in the Age of AI

 

Sustainability of technology innovation is another promising aspect. As we continue to innovate, we need to ensure that these advancements are sustainable and that they do not exacerbate existing inequalities.[22]

 

Finally, AI can strengthen international competitiveness. Countries that adopt and adapt to AI in their legal systems may gain a competitive edge in the global market.

 

 

In the context of AI's influence on the law, various pending issues demand immediate attention. For instance, the regulatory scheme for autonomous vehicles needs to be reimagined, especially as we transition from level 2 to level 3 automation. Aspects such as driver license will have to be reconsidered.[23]

 

Questions also arise around AI's creations and their protection under copyright laws. For example, can a Learning Legal Model's (LLM) work be copyrighted? How do we address issues of copyright infringement by LLMs?[24] Furthermore, who should control the LLM, and what ethical considerations must be adhered to? The territorial application of AI laws, especially given the borderless nature of AI technology, presents another challenging area of concern.[25]

 

The changing legal market, the evolving role of the legal profession, and the consequent innovation in legal education, also form part of the discussion.[26]

 

To effectively navigate the impending issues, cooperation between various stakeholders, particularly on a regional level such as the RCEP, becomes crucial.[27] This cooperation could take the form of loose partnerships centered on specific areas, such as AI-related R&D, data sharing and control, or regulatory innovation for autonomous vehicles. The development of guidelines for extraterritorial application of local government regulations can also be an area of collaborative work.[28]

 

We must ensure that these cooperations and partnerships don't just aim to address the challenges presented by AI, but also capitalize on the opportunities. They can serve as platforms for best practice sharing and collective problem-solving, ultimately strengthening the legal field's ability to adapt to and harness AI technology.[29]

 

 

In conclusion, AI's integration into the legal field is no longer a matter of 'if' but 'when'.[30] Its capabilities can significantly improve efficiency and accuracy in various legal processes, marking a new era of legal practice. However, its application must be executed responsibly, considering ethical, legal, and societal constraints.[31]

 

International collaboration, as seen in the RCEP, can provide a platform for best practice sharing, collective learning, and addressing common challenges.[32] The training and development of human resources are also imperative to successfully navigating the transformative landscape.[33]

 

V.         The Societal Implications of AI and the Importance of Continuous Dialogu and Adaptation in Legal Practices

 

As AI continues to pervade various sectors, its societal implications can't be understated. The ethical, privacy, and employment-related issues stemming from AI's influence must be thoroughly considered and addressed.[34] In the face of these challenges, the continued development and promotion of AI innovation remain crucial. Embracing AI's opportunities can help advance the legal field and contribute to societal progression.[35]

 

 

This article's conclusion highlights the centrality of AI in redefining the legal landscape, particularly within the context of the RCEP system. Continuous dialogues such as this one are integral to our collective progress, leading to a deeper understanding of AI's evolving role in the legal field.[36] The discussion underlines the need for preparedness, resilience, and foresight in integrating AI into our legal practices, given the myriad challenges and opportunities it presents.[37]

 

It is hoped that this exploration provides insights into the current state of AI integration into legal practice and the necessary steps we should be taking to ensure it is done effectively and ethically. As our reliance on AI increases, we need to be cognizant of the challenges and opportunities it presents and prepared to adapt our legal practices accordingly.

 

 

Indeed, the transformative impact of AI in legal services should not be underestimated. From a practitioner’s perspective, it is essential to navigate the inevitable shift from conventional legal processes to AI-augmented practices, embracing technological proficiency as a new cornerstone of professional competence. Crucially, such a transition should be seen as a chance to redefine and augment the traditional role of lawyers, allowing them to better serve their clients and societies.

 

The possibilities for international collaboration, particularly under the RCEP, offer significant potential for leveraging shared knowledge and best practices. As AI technologies continue to advance, a concerted approach to managing this evolution may help ensure equitable and beneficial outcomes for all RCEP members.[38]

 

The promise of AI in the legal field is substantial, from enhancing operational efficiencies to enabling novel services. However, its ethical and social implications, particularly in the areas of privacy, data protection, and employment, need to be proactively addressed. The ongoing discourse around these issues highlights the importance of clear regulatory frameworks and ethical guidelines.[39]

 

Finally, as AI continues to redefine the legal landscape, maintaining an environment of continuous learning and development will be key. Legal professionals, educators, and policymakers alike should strive to foster a culture of innovation and adaptability, underpinning the successful integration of AI into the legal practice.[40]

 

 

As we survey the current landscape, it is clear that the integration of AI into the legal field, especially within the RCEP framework, is not just an optional journey but a necessity. As we strive to make our work more efficient, precise, and impactful, the use of AI and related technologies must be adopted responsibly, respecting the existing ethical and legal boundaries. It is in this complex interplay between technology, ethics, and law that the future of the legal profession is being defined.[41]

 

VI.      The Tole of International Collaboration and Human Resources Development in the AI-Infused Future of Law

 

Moreover, the role of international collaboration and knowledge sharing in shaping the AI-infused future of law can't be understated. Initiatives such as the RCEP provide a platform for nations to share best practices, learn from each other, and collaboratively tackle challenges arising from the intersection of AI and law.

 

The significance of human resources development in this journey is another crucial factor. As AI continues to revolutionize the legal industry, continuous education and training will be indispensable to equip our workforce with the skills and competencies needed to thrive in this new era.[42]

 

Addressing the social implications of AI in law, from ethical and privacy concerns to changes in employment patterns, will be a defining feature of the legal systems of the future. As technology continues to permeate our societal structures, we must ensure that it serves our societies responsibly, ethically, and equitably.[43]

 

In conclusion, embracing the opportunities offered by AI for the continuous development and promotion of technological innovation in the legal field is a strategic necessity. By acknowledging and addressing the challenges posed by AI, we can harness its potential to elevate our legal systems, redefine the roles of legal professionals, and serve our societies better.[44]

 

It is through discussions and in-depth explorations such as this that we move forward, gaining a more profound understanding of the rapidly changing landscape of artificial intelligence in the legal field, particularly under the RCEP system. The hope is that our exploration today has shed light on the challenges, opportunities, and prospects of integrating AI into our legal practices.

 

The transformative impact of AI on the legal profession is only beginning to unfurl. By proactively engaging with AI, fostering international cooperation, and continually investing in human resource development, we can usher in a future where AI enables more efficient, equitable, and effective legal services. While we must remain mindful of the challenges and social implications that accompany these advancements, the potential benefits that AI offers are undeniably compelling.

 

Once again, thank you for your time and consideration in engaging with this work. As the dialogue continues to evolve, I look forward to further exploring these complex issues and contributing to the ongoing conversation about the present and future of AI in the legal field.

 

 

The transformative impact of AI on the legal profession is only beginning to unfurl. By proactively engaging with AI, fostering international cooperation, and continually investing in human resource development, we can usher in a future where AI enables more efficient, equitable, and effective legal services. While we must remain mindful of the challenges and social implications that accompany these advancements, the potential benefits that AI offers are undeniably compelling.

 

Lastly, the implementation of a sustainable future vision is paramount. We need to ensure that the use of AI in the legal field contributes to a sustainable future rather than undermining it. AI can potentially revolutionize the field of law, but it is our responsibility to ensure that its integration and use align with our ethical, legal, and societal values.[45]

 

Now, the use of artificial intelligence in the legal field is not just an option, but a necessity. It enables us to work more efficiently and accurately. However, it must be used appropriately, with due consideration to ethical and legal constraints. International cooperation and knowledge sharing are critical. Through platforms such as the RCEP, we can share best practices, learn from each other, and work together to address common challenges. The development of human resources is paramount. As AI reshapes the legal industry, ongoing education and training are crucial to ensure that our workforce can harness these changes effectively.[46]

 

As we've discussed, AI's impact on society is profound. We must consider and address the social implications of AI, including issues related to ethics, privacy, and employment. Finally, the continuous development and promotion of technological innovation is important. While we must address the challenges posed by AI, we should also embrace the opportunities it offers to advance the legal field.[47]

 

VII.    Pending Issues in AI and Law and Enhancing Cooperation for AI Advancements

 

Additionally, I would like to some examples of Pending Issues in AI and Law and Enhancing Cooperation for AI Advancements in the Legal Field

 

1.Introduction

 

The integration of Artificial Intelligence (AI) into the legal field has brought forth numerous opportunities and challenges. This article examines the current pending issues in AI and law, focusing on topics such as the regulatory scheme for autonomous cars, the protection of AI's works under copyright law, data control, ethical considerations, and the changing legal market. Additionally, it emphasizes the significance of enhancing cooperation for AI advancements in the legal field, particularly in areas such as AI-related research and development (R&D), data sharing and control, co-work for innovation in autonomous car-related issues, and the extraterritorial application of local government regulations. By addressing these pending issues and fostering collaboration, the legal field can navigate the complexities of AI and harness its potential to transform legal practice for the better.

 

2. Pending Issues in AI and Law

 

2.1 Regulatory Scheme for Autonomous Cars

 

The advent of autonomous vehicles necessitates the creation of an innovative regulatory framework. As the transition from level 2 to level 3 automation takes place, key aspects such as driver licensure need to be reconsidered. Policymakers and legal experts must collaborate to create updated regulations that address the unique challenges posed by autonomous cars, ensuring safety, liability, and ethical considerations are adequately addressed.

 

2.2 Copyright Protection of AI's Works

 

A critical issue surrounding AI's works is whether they should be protected under copyright law. The question arises as to whether AI-generated works, such as those produced by Learning Legal Models (LLMs), can be subject to copyright protection. Additionally, the issue of copyright infringement by LLMs further complicates the legal landscape. Collaborative efforts between legal scholars, policymakers, and technology experts are essential to establish guidelines and regulations that strike a balance between intellectual property rights and the growing role of AI in creative output.

 

2.3 Data Control and Ethical Considerations

 

The rapid advancement of AI relies heavily on data. Establishing robust systems for data control is imperative to ensure responsible and ethical AI usage. Collaboration between legal professionals, technologists, and regulators is essential to develop frameworks that protect privacy, address biases, and ensure transparency in AI algorithms. Ethical considerations should also guide AI applications, promoting fairness, accountability, and the prevention of AI-related discrimination.

 

2.4 Changing Legal Market and Education

 

The integration of AI is reshaping the legal market and redefining the role of legal professionals. Innovation in legal education is necessary to equip future lawyers with the skills and knowledge to thrive in an AI-driven legal landscape. Collaborative efforts among legal academia, industry practitioners, and technology experts can help develop educational programs that foster interdisciplinary learning, focusing on AI-related legal applications and the ethical implications of AI in law.

 

3. Enhancing Cooperation for AI Advancements in the Legal Field

 

3.1 AI-Related R&D Cooperation

 

Collaborative research and development efforts in the field of AI can accelerate advancements in legal practice. By sharing resources, expertise, and research findings, organizations and institutions can drive innovation and develop AI technologies tailored for legal applications. Collaborative R&D efforts can lead to the creation of AI tools that enhance legal research, contract analysis, and document automation, improving efficiency and accuracy in legal services.

 

3.2 Data Sharing and Control

 

Effective data sharing and control mechanisms are crucial for the successful integration of AI in the legal field. Stakeholders must work together to establish frameworks that ensure responsible data sharing practices, protect privacy, and maintain data security. Open dialogue and cooperation between legal professionals, technology experts, and policymakers are vital to strike a balance between data accessibility and data protection.

 

3.3 Co-Work for Innovation in Autonomous Car-Related Issues

 

The legal challenges posed by autonomous vehicles require collaborative efforts among stakeholders from the legal, technology, and automotive sectors. Addressing regulatory gaps, liability issues, and safety concerns necessitates co-work for innovation. Collaboration between legal professionals, engineers, policymakers, and industry experts can foster the development of effective regulatory frameworks and ensure the safe and ethical implementation of autonomous car technology.

 

3.4 Guideline of Extraterritorial Application of Local Government Regulations

 

AI's borderless nature calls for the development of guidelines regarding the extraterritorial application of local government regulations. Collaboration among governments, international organizations, and legal experts can facilitate the creation of harmonized guidelines that address cross-border legal challenges. Establishing common principles and frameworks will enable legal professionals to navigate the complexities of international AI regulations more effectively.

 

4. Conclusion

 

Addressing the pending issues in AI and law and enhancing cooperation for AI advancements are essential for the successful integration of AI in the legal field. By collaborating and exchanging knowledge, legal professionals, policymakers, and technology experts can navigate the challenges posed by AI, develop ethical frameworks, and leverage AI's potential to transform legal practice. Together, they can shape a future where AI augments legal services, improves efficiency, and upholds the ethical standards of the legal profession.

 

VIII.  Conclusion

 

In conclusion, the integration of Artificial Intelligence into the legal field, particularly under the RCEP framework, is a transformative journey that is reshaping the landscape of legal practice. This transformation presents a myriad of opportunities, challenges, and ethical considerations that require our collective attention and action.

 

The potential of AI to enhance efficiency, accuracy, and accessibility in legal services is substantial. However, it is crucial to navigate this transformation responsibly, ensuring that the integration of AI respects and upholds our ethical, legal, and societal values. Striking a balance between technological advancement and human expertise, while also addressing the social implications of AI, is a critical task that lies ahead.

 

The role of international collaboration and knowledge sharing in shaping the AI-infused future of law is significant. Platforms such as the RCEP provide an invaluable opportunity for nations to share best practices, learn from each other, and collaboratively tackle challenges arising from the intersection of AI and law.

 

Moreover, the development of human resources is paramount. As AI continues to revolutionize the legal industry, continuous education and training are crucial to ensure that our workforce can harness these changes effectively.

 

Lastly, the continuous development and promotion of technological innovation in the legal field is a strategic necessity. By acknowledging and addressing the challenges posed by AI, we can harness its potential to elevate our legal systems, redefine the roles of legal professionals, and serve our societies better.

 

As we stand on the brink of this AI revolution in legal practice, it is our collective responsibility to ensure that this transformation is navigated with foresight, responsibility, and a commitment to upholding the principles of justice. The discourse presented in this article is a step in that direction, and it is hoped that it contributes to the ongoing conversation about the present and future of AI in the legal field.

 

As we continue to explore and understand the complexities of this transformation, let us remember that the ultimate goal is to leverage AI to serve the cause of justice better, to enhance the delivery of legal services, and to uphold the rule of law in our societies.

 

 

 

 

 



[1]Earlier summary versions of this article were delivered at the as a keynote speech at the 2023 Meeting of the Korean-Chinese-Japan Trade Research Association Joint Academic Conference at University of International Business and Economics in Beijing, China. The Author would appreciate constructive comments and thoughts of participants of this conference.

[2]Richard Sung Youl Kim was adjunct professor at KAIST and is a senior partner of Juris Creators Group and a member of the Korean and New York bar.

[3], 52, 1-55.

 

[4]Yu, P.K. (2019). The RCEP and Trans-Pacific Intellectual Property Norms. Vanderbilt Journal of Transnational Law, 52, 1-55.

 

[5]Surden, H. (2019). Machine Learning and Law. Washington Law Review, 89(1), 87-115.

 

[6] Hildebrandt, M. (2018). Law as Information in the Era of Data-Driven Agency. The Modern Law Review, 81(1), 1-30.

[7]Hildebrandt, M. (2018). Law as Information in the Era of Data-Driven Agency. The Modern Law Review, 81(1), 1-30.

 

[8]Remus, D., & Levy, F. S. (2020). Can Robots Be Lawyers? Computers, Lawyers, and the Practice of Law. Georgetown Law Journal, 108, 1131-1205.

 

[9]Mittelstadt, B., & Floridi, L. (2016). The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts. Science and Engineering Ethics, 22(2), 303-341.

 

[10]Floridi, L., & Taddeo, M. (2016). What is data ethics? Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences, 374(2083), 20160360.

 

[11]Schwartz, P. M. (2019). Data Protection Law and the Ethical Use of Analytics. Privacy & Security Law Report, recorded in https://lawcat.berkeley.edu/record/1124875

 

[12]Daugherty, P., & Wilson, H. J. (2018). Human+ Machine: Reimagining Work in the Age of AI. Harvard Business Review Press.

 

[13]Fenwick, M., Kaal, W. A. & Vermeulen, E. P.M.(2017). Legal Education in the Blockchain Revolution. The Vanderbilt Journal of Entertainment & Technology Law, 362.

 

[14]Bessen, J. E. (2019). AI and Jobs: The Role of Demand. NBER Working Paper No. 24235.

 

[15]Gimpel, H. and Roglinger, M. (2015). Digital transformation: Changes and chances ? insights based on an empirical study. Project Group Business and Information Systems Engineering (BISE) of the Fraunhofer Institute for Applied Information Technology FIT.

 

[16]Susskind, R. (2019). Online Courts and the Future of Justice. Oxford University Press.

 

[17]Autor, H., David. (2015). Why Are There Still So Many Jobs? The History and Future of Workplace Automation. Journal of Economic Perspectives, 29(3), 3-30

[18]Bessen, J. E. (2019). AI and Jobs: The Role of Demand. NBER Working Paper No. 24235.

 

[19]Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165-1188.

 

[20]

West, D. M. (2018). The Future of Work: Robots, AI, and Automation. Brookings Institution Press.

 

 

[21]Rostain, T., & Regan, M. (2019). Law Jobs: The Future of Legal Practice. New York University Journal of Law & Business, 15(2), 543-594.

 

[22]Chesbrough, H. (2006). Open Innovation: The New Imperative for Creating and Profiting from Technology. Harvard Business Review Press.

 

[23]Smith, B. W. (2013). Automated Vehicles Are Probably Legal in the United States. Texas A&M Law Review, 1, 411-521.

 

[24]Bridy, A. (2012). Coding Creativity: Copyright and the Artificially Intelligent Author. Stanford Technology Law Review, 5, 1-28.

 

[25]Schwartz. P. M. & Peifer, K.-N. (2019). Transatlantic Data Privacy Law. Georgetown Law Journal, 106, 117-179.

 

[26]Remus, D., & Levy, F. S. (2020). Can Robots Be Lawyers? Computers, Lawyers, and the Practice of Law. Georgetown Journal of Legal Ethics, 30(3), 501-558.

 

[27]Chen, T. M., & Abu-Nimeh, S. (2011). Lessons from Stuxnet. Computer, 44(4), 91-93.

 

[28]Svantesson, D. J. (2017). Solving the Internet Jurisdiction Puzzle. Oxford University Press.

 

[29]Susskind, R. (2019). Online Courts and the Future of Justice. Oxford University Press.

 

[30]Surden, H. (2014). Machine Learning and Law. Washington Law Review, 89(1), 87?115.

 

[31]Selbst, A. D., & Barocas, S. (2018). The Intuitive Appeal of Explainable Machines. Fordham Law Review, 87, 1085.

 

[32]Kesan, J. P., & Shah, R. C. (2006). Setting software defaults: Perspectives from law, computer science and behavioral economics. Notre Dame L. Rev., 82, 583.

 

[33]Howard, A., & Borenstein, J. (2018). The ugly truth about ourselves and our robot creations: The problem of bias and social inequity. Science and engineering ethics, 24(5), 1521-1536.

 

[34]Mittelstadt, B., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society.

 

[35]

De Filippi, P., & Wright, A. (2018). Blockchain and the law: the rule of code. Harvard University Press.

 

[36]Susskind, R. (2019). Online Courts and the Future of Justice. Oxford University Press.

 

[37]Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2018). Artificial Intelligence and the Public Sector?Applications and Challenges. International Journal of Public Administration, 42(7), 596-615.

 

[38]Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2018). Artificial Intelligence and the Public Sector?Applications and Challenges. International Journal of Public Administration, 42(7), 596-615.

 

[39]Surden, H. (2019). Artificial Intelligence and Law: An Overview. Georgia State University Law Review, 35(4), 1305-1326.

 

[40]Remus, D., & Levy, F. S. (2020). Can Robots Be Lawyers? Computers, Lawyers, and the Practice of Law. Georgetown Journal of Legal Ethics, 30(3), 321-398.

 

[41]Susskind, R. (2019). Online Courts and the Future of Justice. Oxford University Press.

 

[42]Remus, D., & Levy, F. S. (2020). Can Robots Be Lawyers? Computers, Lawyers, and the Practice of Law. Georgetown Journal of Legal Ethics, 30(3), 321-398

[43]Cherry, Miriam A., Beyond Misclassification: The Digital Transformation of Work (February 18, 2016). Comparative Labor Law & Policy Journal, Forthcoming, Saint Louis U. Legal Studies Research Paper No. 2016-2, Available at SSRN: https://ssrn.com/abstract=2734288

 

[44]McGinnis, J. O., & Pearce, R. G. (2014). The Great Disruption: How Machine Intelligence Will Transform the Role of Lawyers in the Delivery of Legal Services. Fordham Law Review, 82, 3041.

 

[45] McJohn, S. M. (2018). Examples & Explanations for Intellectual Property (Examples & Explanations Series) 6th Edition. Wolters Kluwer Law & Business.

[46]Surden, H. (2014). Machine Learning and Law. Washington Law Review, 89, 87-115.

[47]Susskind, R. (2019). Online Courts and the Future of Justice. Oxford University Press.

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