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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON LEGAL PROFESSION

AUTHOR: MADIREDDY DIVITHA REDDY, CHRIST ACADEMY INSTITUTE OF LAW, BENGALURU, AFFILIATED TO KARNATAKA STATE LAW UNIVERSITY, HUBBALLI.


Abstract

Artificial Intelligence in the Legal regime has become an important concern where the technology meets the real time concepts and works together in the same space for better outcomes. Which has become an important source in day-to-day usage in the industry impacting our lives in both positive and negative manner as it is taking part in daily issues as reminders for many means like internet usage, meeting in virtual mode, etc. It has already had history in the legal profession and had been influencing the lawyers and the profession. Even if there has been a positive impact there has also been risks and loopholes with the same technology. This article explores the opportunities, challenges and future of law through the multifaceted effects and involvement of technology and its implications and the awareness in the judicial spectrum regarding AI , especially concerning transparency. This study also focuses on the reliability of Justice on AI and its recent developments.

Key words: Artificial Intelligence, Technology, Law Profession, Legal Ethics, Legal Research.


Introduction

The legal profession has been traditionally known since ancient times; it has its own till today even in this digital era which has transformed every profession along with legal profession from availability of books to e-commerce with business and more from local to globally at every means. Where the world being open to inviting technology in the form of AI, in the profession where human technology and the human thought process in the form of understanding the victims and emotional intelligence plays a vital role with lots of research and human understanding for the final judgement and for the betterment of society as a whole. Even though AI has the ability to store data and interpret the laws and its reasoning, it also lacks the understanding and human intelligence, being a great concern at the end to conduct court proceedings along with the resource data availability, where it also raises concerns about transparency and proper decision-making.

The prison career isn't always an exception to the paradigm shift added approximately through the emergence of synthetic intelligence (AI). Due to technological improvements, the felony career—once thought to be a discipline primarily based on human judgment, interpretation, and ethics -- is currently undergoing innovative adjustments. AI-powered answers are supporting legal professionals, judges, and regulation firms’ growth productivity and reducing errors in loads of responsibilities, from report review and legal research to contract analysis and predictive analytics. AI-primarily based legal tech companies have flooded worldwide criminal markets with products that automate tedious work and offer sophisticated statistics-pushed insights.

This evolution is happening slowly in India. The Artificial Intelligence Committee of the Supreme Court of India is investigating AI for shrewd guidance in criminal databases, criminal data processing, and translation. The legal profession isn't an exception to the paradigm shift introduced approximately by the emergence of synthetic intelligence (AI). Due to technological advancements, the criminal career, once thought to be a field based totally on human judgment, interpretation, and ethics, is presently presently undergoing modern modifications. AI-powered solutions are assisting legal professionals, judges, and regulation firms to increase productivity and decrease mistakes in a variety of duties, from file evaluation and criminal studies to settlement evaluation and predictive analytics. AI-primarily based felony tech firms have flooded international legal markets with products that automate tedious paintings and offer sophisticated facts-driven insights. While law schools are incorporating technology law into their curricula, law firms are implementing AI-based case management and contract management systems. 


Concept of AI in Law

Artificial Intelligence that is referred as machine system capable of executing tasks that are usually require human senses like reasoning decision-making etc. where in the conceptual understanding through the resources available at online had given a better scope for AI where the proceedings of the court to presenting of witness and examinations are conducted through online means through technology and the concept of electronic evidence and its relevancy had made it to accept as the primary evidence.

Significance: 

This study is significant because it has the potential to shed light on and critically evaluate how artificial intelligence is changing the legal profession's practice, structure, and future. It investigates whether AI is a disruptive force that has the potential to reshape fundamental legal roles or if it is only an aiding tool. 


Literature Review

According to academics like Susskind (2020), artificial intelligence will replace the work that lawyers do rather than replace them. The possibility of "legal singularity," in which machines comprehend the law more thoroughly than humans, is examined in studies by McGinnis and Pearce (2014). Though they warn against relying too heavily on opaque algorithms in the administration of justice, Indian scholars highlight the growing digitization of courts (e-Courts Mission Mode Project).


Methodology

Comparative analysis in qualitative doctrinal research and Information Gathering through Indian statutes, case law, and official reports are examples of primary sources; scholarly journals and whitepapers are examples of secondary sources.


Results

Areas of Impact Legal Research: Using NLP-based search engines, AI-powered solutions such as CaseMine and Manupatra speed up legal research along with Premonition and Lex Machina employ AI to forecast court decisions and case outcomes and AI technologies save time and human error by assisting with the drafting of standard contracts and document reviews. Where AI-enabled ODR mechanisms are used by platforms such as CODE and Jupiter and Judges are assisted in summarizing complex cases by the Supreme Court's artificial intelligence tool, SUPACE.

Data-driven and societal biases can be passed down to AI systems and the subtleties of human justice may be overlooked by the mechanical application of the law and professionals like Junior attorneys and paralegals are impacted by the growing automation of routine legal work.


Challenges and Ethical Practices

The potential threat to routine legal jobs (such as junior associates or clerical research roles) raises questions regarding employment and legal training models where AI systems run the risk of reproducing biases present in historical data, such as racial or gender bias in sentencing, which could lead to unfair results. With Data protection regulations such as the GDPR (EU) or the Information Technology Act, 2000 (India) must be followed when using cloud-based AI tools. Who bears responsibility if AI provides incorrect legal advice? AI practice is not sufficiently addressed by existing frameworks such as the Advocates Act of 1961 or the Bar Council regulations.


Judicial and Regulatory Reactions

Regulators and judicial institutions worldwide are struggling with how to regulate the use of Artificial Intelligence (AI) as well as it is more and more integrated into the legal workflow. The Artificial Intelligence Committee of the Supreme Court in India has taken the initiative to encompass AI in the felony device. Developing statistics analytics tools to accelerate case class, lower in pendency, and advance transparency, as well as the usage of AI, to translate choices in nearby languages, are important tasks.

The statutory body that oversees the practice of law, India's Bar Council, has not yet developed complete rules or moral standards related to AI's application by lawyers. Concerns about unrestricted AI use, potential misconduct, and unrestricted use of general AI by this regulator zero. The AI Act of the European Commission is a strong example of AI rule globally. This divides the AI system into risk categories (such as unacceptable, high, limited and minimum) and subjugates high -risk systems to more stringent compliance standards. It provides a guide for India in creating a domestic AI regulatory structure that enhances the constitutional values of justice, privacy and fixed process, making a balance between innovation and accountability. The moral, procedural and practical impact of AI should be carefully considered by India as its legal system develops, especially in areas such as customer privacy, future justice and evidence handling.


Discussions

Implications for Ethics and the Law

The Advocates Act of the 1961 Bar Council of India Rules laid a strong emphasis on non-delegable responsibilities, professional freedom and privacy, many of which are called questions from AI's involvement. Professional accountability is made more difficult than the fact that AI is not responsible for current criminals or torture laws.


International Comparison

• United States: "Technological competence" is recommended as an ethical obligation by the ABA Model Rules.

• European Union: A risk-based regulatory framework is proposed by the EU AI Act. where India does not have a complete legal framework pertaining to AI; initiatives such as the "Responsible AI" framework from NITI Aayog are merely advisory.


Justice Case Laws Union of India v. K.S. Puttaswamy, 2017 10 SCC 1

It is important to confirm data privacy as a fundamental right under Article 21 when using AI to handle individual legal data.

 • Praful Desai v. State of Maharashtra, (2003) 4 SCC 601

Opened the door for AI-stronger virtual hearings by recognizing video conferencing as a valid courtroom process.

 • Union of India v. Anuradha Bhasin, (2020) 3 SCC 637

Outlined how generation can be used to defend essential rights, together with AI interventions.

 • Union of India v. Shreya Singhal (2015) 5 SCC 1 talked about how to balance regulation and freedom of speech, which is important for moderating AI content.


Consequences for Legal Education

Courses on legal technology, AI ethics, and computational law must be incorporated into law schools as they develop. Curricula can be updated in accordance with the Bar Council and UGC.


Conclusion

When properly used, AI is a device instead of danger. Although it can reduce backlogs and streamline tasks, it should follow strict moral standards and justice, fairness, sympathy, and maintain human characteristics by arguing the fundamental principles of the legal profession that cannot copy AI. Artificial intelligence is a device that is properly implemented, can improve legal services, democratizes access to justice, and can increase systemic efficiency. This is not a threat to a legal profession but it also enhances difficult issues with accountability, transparency, algorithm bias, and data security. The legal profession needs to adopt a balanced stance, maintaining moral standards, following the advantages of AI, regulatory supervision, and fundamental constitutional principles. The attorney is being retreated, not replaced. The problem is straight in this revolutionary era: How can we ensure that legal technology development is inspired by equity and morality in addition to efficiency? There is a continuous dedication to regulation, education, creativity, and justice.


References
  • Justice K.S. Puttaswamy v. Union of India, (2017) 10 SCC 1.

  • Anuradha Bhasin v. Union of India, (2020) 3 SCC 637.

  • State of Maharashtra v. Praful Desai, (2003) 4 SCC 601.

  • Shreya Singhal v. Union of India, (2015) 5 SCC 1.

  • Susskind, Richard. Tomorrow’s Lawyers: An Introduction to Your Future, Oxford University Press, 2020.

  • McGinnis, John O., and Russell G. Pearce. “The Great Disruption: How Machine Intelligence Will Transform the Role of Lawyers in the Delivery of Legal Services,” 82 Fordham L. Rev. 3041 (2014).

  • NITI Aayog. Responsible AI for All: Strategy for India, 2021.

  • Bar Council of India Rules, Advocates Act, 1961.

  • ABA Model Rules of Professional Conduct (USA), Rule 1.1 Comment 8.





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