A critical analysis upon AI-Assisted Legal Drafting agents and their impact on the legal careers of budding new gen lawyers.
Abstract
The disruptive yet mandatory transition from traditional methods to Artificial Intelligence (AI), integrated into legal practice has significant impacts upon the lives of the newer generation. AI-powered tools are being looked at as the revolutionizing force in generating Appeals, Written statements, Legal Notices, Contracts, Research summaries, and Opinions within momentary pause. While these same agents who might promise to save a lot of time and energy at negligible costs, are the same ones to cause concern related to the professional conditioning and the requirement of certain basic skills for newly enrolled advocate. This article aims to examine upon the increasing dependence of the new-gen law students on AI-driven drafting tools and research platforms with the hope of increased efficacy of legal work or at the risks weakening their own foundational research and drafting skills. By analysis put forward by the statutory frameworks, judicial precedents and scholarly discussions, this article argues that although AI might plant a seed for improvement of productivity but excessive and unchecked reliability without regulatory safeguards may adversely affect the professional development and cognitive ability of the young lawyers.
Introduction
Legal drafting and research is the backbone of legal practice, despite of any specialization whatsoever. Drafting involves Legal Notices, contracts, pleading, affidavits and more which are mastered over the years by sheer practice and hard work. It demands precision and clarity upon the facts, subject and analytical reasoning to channel the same on paper while conveying your word loud and clear using alphabets no more than required. Traditionally, these skills are developed through years of practice, flipping through the hard covers and extensive legal research involving trial and error methods. But, not anymore.
The law profession, nowadays, is undergoing a significant shift due to the emergence of Artificial Intelligence and similar models claiming to be effective in legal assistance. AI-agents and drafting tools which includes those used for legal research are now seen to be assisting lawyers in preparing legal briefs, and doing legal research for precedents to be cited. Such technologies are often judged and mocked by those who realize the true importance of legal research and does not see it just as a mere burden or a boring job.
Nevertheless, the ever-increasing trust on automated drafting friend in need raises important concerns related to the sources and accuracy of information. Also an argument often is raised that if young lawyers depend and delegate so much to AI-generated agents then they may lose their cognitive functions and ability to develop independent analytical skills to look at a draft or to escape the obvious methods to win the case with their acquired expertise, because there won’t be any. In the case of Gummadi Usha Rani v. Sure Mallikarjuna Rao, HC of Andhra observed that trial court in its judgement relied upon the citation which were AI generated and never there in existence. Hereby this articles continues to envision the pros and cons for the new generation while creating an image of how far AI actually has come at replacing human brain, that too of an advocate.
Performance of AI in Legal Research and Drafting
AI used in legal research and drafting refers to computer systems programmed to have capability of generating legal documents, even those submitted before the honorable court along with research required for a legal document using advanced algorithms, machine learning and pre-fed information while training the AI memory. These systems promise to analyze large databases containing statutes, judicial precedents and previously drafted documents to produce structured outputs.
But do AI really succeed in that?
AI-assisted drafting and research tools commonly are used to perform tasks such as automated contract generation, agreement, settlement deeds, legal research assistance in finding landmark judgements and more. Many law firms and corporate legal departments increasingly are seen to be in synch with machinery along with their regular day to day activities just like the shift from Microsoft to modern day, CLM tools for contracts.
However, legal drafting since always often required the art of interpretation of statutes, contextual reasoning in relation with strategic statement of facts and judgments. These aspects require human understanding and cannot be completely automated. Thus, while AI promises to deliver big, it often fails to do even the bare minimum as the majority of cases at times are found to be fictitious or with wrong citation.
Governing factors of AI within legal career
Using AI being part of the legal profession must be examined in light of professional regulations which govern the advocates of their professional and ethical conduct.
The Advocates Act, 1961 established the legal framework regulating the profession of advocacy in India. Advocates have to adhere to these and maintain professional competence while exercising independent judgment as their duty towards their clients. Although the rules here are not exclusively made to address artificial intelligence, still the duty of competence implies that lawyers have to verify and take responsibility in course of their duty towards the court presenting all documents before it to be well prepared.
At the same time, the Bar Council of India Rules impose a few obligations requirements for advocates to maintain professional integrity, confidentiality and diligence in their work. These principles indicate towards the statement that even though technological advancement are well within the presence to assist the advocate but can never replace the judgement of a qualified one.
The Information Technology Act, 2000 also has a role towards regulation of digital materials or documents related to legal field by recognition of the term electronic records and regulating the digital communications and with the legal drafting increasingly being dependent upon the AI models, compliance with the same technological legal frameworks becomes essential for the advocates.
Judicial Interference on the same
Recent judicial precedents demonstrate the challenges faced by the bench which are posed by AI-generated legal materials and documents.
In the case of Mata v. Avianca Inc. (2023), a lawyer puts forwards a submission of legal brief containing fictitious case citations which were generated by an AI chatbot. The United States District Court being stringent upon this, imposed sanctions on the advocate who failed to verify the authenticity of the same and being negligent. The court pressured that the lawyers must remain fully responsible and accurate in their submissions even if AI tools are being utilized.
Another crucial dispute in the matter that establish the global struggle of scrutiny with AI includes ROSS Intelligence Inc. v. Thomson Reuters Corp. (2020). This case raised questions relating to the use of proprietary legal research databases for training of AI systems designed for the use by advocates and legal researchers. Although the primary concern was in relation to the copyright law, but it still illustrated the expanding interaction between artificial intelligence and legal practitioners.
Advantages of AI-Assisted Legal Drafting
AI-assisted drafting tools often offer a few advantages that contribute to the efficiency and saves time for legal research.
First of all, they significantly improve the time by hours, managing and automating repetitive tasks such as proofreading grammar and creation of standard contracts like rent agreements or affidavits while formatting a bit in legal documents. This allows advocates to focus on more complex problems like legal strategy and case planning, preparing briefs for the court and preparing cross questions rather than being busy conducting clerical work.
Second, AI facilitates and provides access to a larger legal information even though it remains at the mercy of prompting a lot and refining the results. These systems are programmed to analyze large volumes of judicial databases and directory of precedents within seconds and identify relevant authorities that may strengthen your specific set of legal arguments.
Third, automated drafting tools reduce clerical, grammatical and typographical errors through built-in grammar correction, providing a touch of enhanced assistance and citation formatting systems to make it more well prepares which might take hours using traditional ways.
Finally, AI-driven tools for drafting may contribute towards justice by enabling individuals access and generate basic legal documents at lower costs like legal notices which can be served by party itself, thereby reducing the financial barriers gatekeeping the justice from the needy or financially challenged.
Adverse Conditioning and lost cognitive functions of New-Gen
Despite these few advantages, reliance upon AI-assisted drafting tools, that too without any regulation may create serious risks for the journey of new generation advocates as they might never develop or recover from the dependency they’ll incur.
One of the major concerns is the decline of cognitive function developed naturally upon going through the vigorous process of one by one reading through the judgements and precedents. Drafting legal documents requires the same caution and careful reasoning and interpretation of facts with legal statutes and applicable precedents. If young lawyers rely entirely on machinery and automated models, they may fail to cultivate this intellect and thinking abilities forever making the standardization of advocacy on a lower benchmark.
Another risk involves that Advocates who will rely heavily on AI templates may struggle even in simplest of the drafts without their access to internet and without technological assistance.
Furthermore, AI systems may generate inaccurate or fabricated information as we discussed above with our recent cases, a phenomenon commonly known to us as AI hallucination. Lawyers who rely on such results without double checks might face consequences.
Confidentiality remains major concern, as many AI platforms operate through cloud-based servers and sharing of privileged communication not only violates the code but also puts your hard work at danger of being exposed. Uploading sensitive client documents to such systems violate the ethics of advocacy and confidentiality clause.
Balance between Innovation with Professional conduct
Rather than complete rejection, technological innovation shall be kept using double checks with a balanced professional conduct.
Professional bodies such as bar councils should develop ethical guidelines and governance regarding the same, promoting the responsible use of artificial intelligence and making the new generation aware about the same in legal practice. These guidelines should enhance the answerability of legal tech startup as well as young lawyer being recipient of the same without using their own knowledge.
Law schools must also incorporate legal tech. training relating to the AI curriculum while continuing to emphasize the importance of legal drafting by your own self and responsible use of AI.
Conclusion
Concluding our discussion, mentorship by the seniors of law firms are required and plays a crucial role in inculcating the habits in the new gen and helping them get to know that this type of dependency makes them be comfortable and suppresses the cognitive skills required to be the best in legal profession. Senior advocates must ensure that junior lawyers continue to be aware how even before manupatra and other search engines, lawyers used to dug in the AIRs by reading word by word judgments and that they are not required to replicate the same struggle but in making sure that you learn more than just vocabulary and formatting.
THIS ARTICLE IS WRITTEN BY YATHARTH SINGH FROM LAW CENTRE 2, UNIVERSITY OF DELHI
REFERENCES
Advocates Act, 1961.
Bar Council of India Rules, Part VI – Standards of Professional Conduct and Etiquette.
Information Technology Act, 2000.
Indian Evidence Act, 1872, Section 65B.
Anvar P.V. v. P.K. Basheer (2014) 10 SCC 473.
Mata v. Avianca Inc., United States District Court, 2023.
ROSS Intelligence Inc. v. Thomson Reuters Corp., 2020.
Richard Susskind, Tomorrow’s Lawyers: An Introduction to Your Future.
Harry Surden, Artificial Intelligence and Law: An Overview, Georgia State University Law Review.
Daniel Martin Katz, Quantitative Legal Prediction and Legal Technology.
