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Artificial Intelligence: Potentials, limitations, and ethical considerations

"AI in Law: Revolution and caution. Potential in repetitive tasks, risks in document drafting. Future demands balance between innovation and legal ethics."

21/10/2024

Artificial Intelligence in the Legal Field: Potentials, Limitations, and Ethical Considerations

The technological revolution permeating contemporary society has significantly impacted various sectors, and the legal field is no exception. Artificial intelligence (AI) emerges as a promising tool, capable of optimizing processes and increasing efficiency in various areas of Law. However, its application is not exempt from challenges and ethical concerns, especially when it comes to tasks that require keen legal discernment and complex contextual analysis.

The application of artificial intelligence in the legal field is not a recent phenomenon. Since the 1950s, researchers have been exploring ways to use computing to assist legal tasks. However, it was from the 1990s that significant advancement was observed, with the development of expert systems capable of performing specific tasks in the legal sphere. Currently, AI in Law encompasses a diverse range of applications, from legal information search and retrieval systems to predictive analysis tools for judicial outcomes. Advances in natural language processing and machine learning have enabled the development of increasingly sophisticated solutions capable of understanding and interpreting complex legal texts.

One of the areas where AI has shown the greatest potential is in the automation of repetitive and non-strategic tasks. AI systems can quickly analyze and synthesize large volumes of legal documents, providing legal professionals with concise and relevant summaries. Advanced search tools based on AI can locate relevant precedents and jurisprudence with greater precision and speed than traditional methods. AI can also assist in reviewing, categorizing, and extracting key information from contracts, accelerating due diligence processes. Additionally, intelligent systems can classify and prioritize cases based on predefined criteria, optimizing workflow in law firms and courts.

The implementation of AI solutions for repetitive tasks can result in a significant reduction in time spent on administrative and low-value activities, a decrease in human errors in tasks that require attention to detail, and the liberation of legal professionals to focus on strategic and more complex activities. This can lead to long-term financial resource savings, despite the initial investment in technology.

By automating routine tasks, AI allows lawyers and other legal professionals to devote more time and energy to aspects that require human expertise, such as strategic analysis of complex cases, development of innovative legal arguments, personalized client service, and continuous improvement of professional skills. This results in an overall improvement in the quality of legal services provided.

Despite the evident benefits in repetitive tasks, the use of generative AI for drafting legal documents presents significant risks that cannot be ignored. Practical experience has shown that, even with recent advances, AI models still make frequent errors in drafting legal documents. These errors can include incorrect citation of laws or precedents, misinterpretation of case facts, and failure to consider specific nuances of the legal context.

Although AI systems can generate coherent and apparently well-structured texts, they lack the capacity for genuine legal reasoning. This manifests in difficulties in developing truly innovative legal arguments, inability to adequately assess the probative strength of evidence, and limitations in understanding abstract legal concepts and their application in concrete cases.

The use of AI to draft legal documents also raises important ethical questions. Who is responsible for errors or omissions in AI-generated documents? How to ensure compliance with professional ethics codes when using AI in legal practice? What is the impact on the lawyer-client relationship when part of the work is performed by automated systems? Moreover, excessive reliance on AI systems for drafting legal documents can lead to an undesirable standardization of legal practice, resulting in a reduction in the diversity of legal arguments and strategies, decreased creativity and innovation in approaching complex cases, and potential weakening of jurisprudential development.

As a professional who has been using artificial intelligence models since 1994, I can offer a unique perspective on the evolution and limitations of these technologies in the legal field. In the 1990s, my experience with AI focused mainly on the use of artificial neural networks for modeling complex patterns in legal data, application of fuzzy logic to deal with uncertainty and ambiguity inherent in many legal concepts, and development of decision support systems for legal risk assessment and modeling. These early applications, although promising, were limited in scope and precision when compared to current technologies.

Over the past three decades, I have observed a significant evolution in the capabilities of AI applied to Law. There has been an exponential increase in the capacity for processing and analyzing legal data, improvement in the accuracy of classification systems and prediction of legal outcomes, and the emergence of natural language models capable of understanding and generating complex legal texts. However, this evolution has also revealed persistent limitations, especially in tasks that require deep contextual understanding and sophisticated legal reasoning.

My long-term experience with AI in the legal field has led me to some important conclusions. AI is a powerful tool for increasing efficiency in well-defined and structured tasks. However, AI systems are still not capable of replicating complex legal reasoning and the intuition of experienced professionals. Human supervision remains essential, especially in areas involving legal interpretation and critical decision-making.

As an advocate and enthusiast of the use of artificial intelligence in the legal field, I recognize its immense potential. However, my experience leads me to adopt a cautious stance, especially with regard to the drafting of legal documents and judicial sentences. The drafting of legal documents requires a combination of legal knowledge, contextual analysis, and strategy that, to date, AI systems are not able to fully replicate. Therefore, AI should be seen as a support tool, not as a substitute for the lawyer. It is essential that qualified professionals review and adapt any AI-generated content before its submission. Developing skills to work effectively with AI while maintaining control over the final product will be crucial for lawyers of the future.

The use of AI for crafting judicial sentences is a topic that raises even more concerns. Judicial decision-making involves ethical, moral, and social considerations that go beyond mere application of the law. There is a significant risk of perpetuating biases and prejudices present in the training data of AI models. Furthermore, the legitimacy and trust in the judicial system may be compromised if there is a perception that important decisions are being made by machines.

To ensure that the integration of AI into legal practice is beneficial and ethical, it is necessary to establish clear guidelines. There must be transparency about when and how AI is being used in the legal process. Legal professionals must maintain ultimate responsibility for any output generated or assisted by AI. It is essential that lawyers and judges are trained not only to use AI tools but also to understand their limitations and potential biases.

Moreover, it is necessary to develop regulatory frameworks that specifically address the use of AI in the legal field. Collaboration between jurists, computer scientists, and ethicists should be fostered to address the complex challenges that arise from the intersection between AI and Law. In cases involving judicial sentences, AI should be limited to support functions, preserving the autonomy and judgment of magistrates.

Artificial intelligence represents a significant revolution in the legal field, offering unprecedented opportunities to increase the efficiency and quality of legal services. Its application in repetitive and non-strategic tasks already demonstrates tangible benefits, allowing legal professionals to focus on higher value-added activities. However, the experience accumulated over decades of work with AI in the legal context teaches us the importance of a cautious and judicious approach.

The future of legal practice will undoubtedly be shaped by the growing integration of artificial intelligence. However, it is imperative that this integration be guided by solid ethical principles, adequate regulation, and an unwavering commitment to justice and equity. Only then can we reap the benefits of AI in Law without compromising the fundamental values that underpin our legal system.

As we advance into this new technological era, the challenge for the legal community will be to find the ideal balance between innovation and tradition, automation and human judgment, efficiency and ethics. This is a challenge that will require not only technical expertise but also legal wisdom and moral discernment.

Ultimately, artificial intelligence in Law should be seen as a powerful tool, but not as a substitute for human legal reasoning. The true potential of AI will be realized when it is used to amplify and enhance the capabilities of legal professionals, not to replace them. In this scenario, the future of Law will be characterized by a productive symbiosis between human and artificial intelligence, where each complements the strengths of the other for the benefit of justice and society as a whole.

Domingos Rodrigues Pandelo Junior
Graduado e mestre pela FGV/SP. Doutor pela UNIFESP. Especialista em direito empresarial (IBMEC), direito público (IBMEC) e Holding Familiar (Verbo Jurídico). Também possui graduação em educação física (FEFIS) e especialização em ciências do esporte (UNIFESP). Foi professor dos programas de MBA do IBMEC SP, de graduação e MBA do INSPER e de programas de MBA da FGV Management. Experiência profissional no mercado financeiro, especialmente em valuation, fusões e aquisições, governança corporativa, planejamento patrimonial e family office. Na área esportiva atuou como Coordenador Técnico da Confederação Brasileira de Atletismo e Membro do Conselho Fiscal da Confederação Brasileira de Triatlo (em exercício).

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