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.
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.
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.