The relationship between artificial intelligence (AI) and the law is examined in this article. It examines both the possible advantages, such as improved effectiveness and accuracy, and the potential disadvantages, such as biases and ethical problems, of utilizing AI in legal decision-making processes. The article also looks at the state of artificial intelligence in the legal sector and gives instances of how it is currently employed in a variety of legal contexts, including contract evaluation and case outcome prediction. The article’s main points emphasize the necessity for a thorough study of the ethical and legal implications of AI in the legal profession, as well as the need of creating rules and regulations to ensure the responsible and efficient use of this technology. As AI technology continues to advance, new legal issues are arising related to AI use, regulation, and accountability. Laws governing AI are likely to become increasingly important in the coming year
Rise of artificial intelligence
John McCarthy, the inventor of artificial intelligence, invented the term artificial intelligence (AI). Artificial intelligence, according to the Oxford Dictionary, is “the theory and development of computer systems capable of performing activities ordinarily requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. (See this) The development of autonomous, intelligent systems is the goal of the wide field of computer science known as artificial intelligence (AI). It can be characterized as an intelligent machine that is able to mimic some human behaviors as well as think, interpret, and act on its own. As a result, artificial intelligence is a technology that can and can solve issues. something ordinarily our innate wisdom as humans would be able to resolve. To put it another way, the purpose of AI development is to satisfy the desire and demand for automation in the fast-paced human lives of today. Currently, AI is employed to perform repetitive or even challenging activities.
Artificial intelligence in the Indian legal industry
The television show “Ironman” (the animated series version) has some of the best situations where the iron man (often Mr. Tony Stark) asks the computer (Jarvis) a question and the computer responds with a conversation. This absolutely amazed me when I was younger, of course, I wanted my own computer that could answer any question I cared to ask. But at that time this artificial intelligence is not that much powerful as it is right now with an amazing humanoid-like Sophia, and I think ai can help in the legal industry to resolve the case. The legal industry takes a rather traditional approach and is slow to accept new technologies. It’s necessary to acknowledge that artificial intelligence has the potential to change how lawyers currently practice law and how India views the rule of law. Technology is relevant inasmuch as it promotes effectiveness, transparency, and objectivity in public administration, according to Justice D.Y. Chandrachud. The purpose of AI is to give judges a facilitative tool to review or assess their work, processes, and judgments. The main goal is to eventually increase the accessibility of justice for regular people. The first stage of India’s artificial intelligence framework, the AI Task Force Report, was utilized to thoroughly investigate artificial intelligence. This task group was established by the Ministry of Commerce and Industry to investigate the financial advantages of AI and evaluate how it may benefit India. It is headed by N. Chandrasekaran, Chairman of Tata Sons. “To embed AI in our Economic, Political and Legal thought processes so that there is the systematic capability to support the goal of India becoming one of the leaders of AI-rich economies,” the Task Force’s vision statement reads. We are all aware of how large the Indian legal system is, with our Constitution alone being the longest in the world. As a result, it is essential to apply artificial intelligence (AI) in law to adapt to the evolving legal landscape. Legal researchers now have instant access to unparalleled insight into the legal system thanks to machine learning technology. Cyril Armarchand and Mangaldas is one such company that has acknowledged the potential of AI and is fervently embracing it. By being the first Indian law firm to license “Kira,” a machine learning program created by Kira Systems in Canada, CAM has made legal history. Many tasks can be handled by this AI-based software, which saves a lot of time and effort. The “Kira” technology is used to analyze legal papers, locate and spot any potentially dangerous areas, and extract provisions from various legal documents. Please note kira is taken from the anime’s ‘death note’
Artificial intelligence in law right now:
With a global market value of approximately $1T, the legal services sector is one of the biggest in the world. It continues to be under-digitized at the same time. For better or worse, lawyers still feel comfortable using and relying on solutions created years ago since the legal profession is tradition-bound and notoriously hesitant to adopt new technologies. Probably during the next few years, this will change. AI has the power to alter the practice of law and how it is perceived in India. This process is currently going on. One of the most significant changes that AI can bring about in the legal system is in the area of legal research. Artificial intelligence can help lawyers quickly obtain a unique understanding of the legal system, which is constantly evolving in India.
Whether a law business has 400 lawyers or only one lawyer who practices, an artificially intelligent research platform can finish the study in a matter of seconds and balance the costs of legal research while keeping a high standard of quality. It can give lawyers effective tools to aid in improving their client advice.
Artificial intelligence used in the legal sector:
IoT app development businesses can learn about many uses of AI in the legal sector with sufficient research and careful consideration of the legal sector. There are six major categories into which the industry’s present applications of artificial intelligence can be divided:
DUE DILIGENCE: To do due diligence and assemble background information, lawyers use artificial intelligence (AI) techniques. Developers have chosen to incorporate a number of new features, such as agreement review, legal inquiry, and electronic media for this sector of the industry, in light of the current situation.
PROGNOSIS TECHNOLOGY: Artificial Intelligence (AI) assists in the production of results for judicial inquiries and contract evaluations. This feature of AI programming seems to be quite advantageous for legal businesses and industries.
Legal Mechanism: Using Artificial Intelligence technologies, attorneys can gather data from earlier or previous cases. They can use this information to maintain tabs on the judge’s orders and predictions. In the near future, this technology is probably going to gain more significance on a global level.
In the legal sector, several software configurations are used to create documents that facilitate the gathering of data and information. There are many documents that are helpful in the legal services sector. Therefore, it has a lot of advantages.
DOCUMENTING MECHANISM: In the legal sector, several software configurations are used to create documents that facilitate the gathering of data and information. There are many documents that are helpful in the legal services sector. Therefore, it has a lot of advantages.
INTELLECTUAL POSSESSION: AI algorithms show lawyers how to go through enormous IP files and decipher a range of interesting materials.
ELECTRONIC RECEIPT: For a very long time, solicitors made their own receipts. Following the adoption of AI software development technologies in these organizations, the billings for lawyers were converted to electronic format.
It is believed that AI technology has the potential to boost productivity. The machine learning algorithm input given to the app helps artificial intelligence work on a variety of algorithms capable of accelerating the activity of document verification and processing. Instead, there has been a surge in the need for firms to employ AI as a result of growing corporate competition. Artificial intelligence allows law firms to work more swiftly while passing on savings to their clients and other associated businesses more promptly. Legal services are a little more expensive than other companies in the market, and businesses cannot automate this procedure. Uncertainty exists over the transition’s mechanics, though. It is anticipated that law firms with higher budgets would adopt AI technology more gradually and quickly. The application of artificial intelligence (AI) by lawyers and within the legal sector is only now starting to take off. What effects will this technology have on the legal industry? The adoption of artificial intelligence, particularly by in-house lawyers, will usher in a revolution in the practice of law within the next few years. Similar to how email revolutionized how we conduct business on a daily basis, AI will spread like wildfire and become every lawyer’s necessary assistant. Those who resist the change and do not adopt it will fall behind. Those that do will eventually discover that they have more time for thinking and doing, which always seems to take up too much time.
Law is one domain that has the most potential for AI use:
Without contracts, there would be no way for business to be conducted. Contracts are essential to the economy. Nevertheless, signing a contract takes a long, painful amount of time. It can put off talks and keep businesses from accomplishing their objectives. Human error is common, which is not surprising considering the importance of paying attention to details and the fact that contracts can be thousands of pages long.
Startups like Lawgeex and LexCheck are pursuing the notion of automating this procedure. These businesses are developing artificial intelligence (AI) systems that will automatically take in proposed contracts, thoroughly assess them using natural language processing (NLP) technology, and decide which elements are acceptable and which are not.
RESEARCH IN LAW:
Machine learning is advancing in the field of legal study. When looking for relevant precedent, law students and firm associates used to spend a lot of time browsing through case law volumes. This process has lately gone digital with the advent of personal computing, and attorneys are increasingly conducting research using software programs like Westlaw and LexisNexis. Beyond basic search functionality, these antiquated technologies are not intelligent.
A new generation of businesses has emerged in recent years with the same goal of transforming legal research through advancements in natural language processing. These platforms go above and beyond simple keyword searching to highlight the most pertinent existing law.
Using the corpus of pertinent precedent and case facts as inputs, a few AI teams are creating machine learning models to predict the outcomes of pending cases. These predictions will significantly affect legal practice when they are refined. They are being used by law firms to streamline settlement discussions, decrease the number of cases that must go to trial, and lay out their litigation strategy in advance.
One such business, Blue J Legal, based in Toronto, is developing a legal prediction engine that uses AI and initially focuses on tax law. The company claims that 90% of the time, its AI can predict case outcomes with accuracy.
AI’s Effects on India’s judicial system
There are judicial delays visible when we examine the Indian court system. Justice delayed is justice denied, and the judiciary is overburdened with more than 3 Cr. outstanding cases, which causes undesirable delays in providing justice to the people. As a result, numerous initiatives are being made to better the current state of affairs, such as shortening vacation times and strengthening judgment, but more needs to be done, which is where artificial intelligence comes into play. Because there are so many cases of this kind filed each year, data science and artificial intelligence (AI) are needed to support the courts by using predictive technologies to provide crucial information about existing cases based on recent cases of a similar sort. Studies have shown that AI can be quite helpful at the evidence stage, which is an important stage in any case. It takes up a lot of court time because it is such a crucial phase in any case. AI-assisted analysis can help judges reach conclusions quickly. This stage frequently has multiple delays for a variety of reasons, including witnesses not being present or delays caused by the investigation’s lead investigator. The role of AI in these scenarios would be to anticipate probable delays, which would be helpful for judges since they would be aware of the factors that contribute to the delays indicated above in cases like murder. Judges will be able to correctly manage the workload of each case thanks to this predictive technology. Giving witnesses more police protection will also help courts take proactive steps to stop witnesses from becoming hostile. One of the most significant recent developments was the Chief Justice of India, S.A. Bobde, recently stating in an interview: “We have a possibility of developing Artificial Intelligence for the court system. Only for the purpose of ensuring that the undue delay in justice is prevented.” He also made it clear that AI will not be replacing human discretion or judges. Sharing more insights he further stated that “It is only the repetitive, mathematical, and the mechanical parts of the judgments for which help can be taken from the machine learning system…we are exploring the possibility of implementing it.
The Chief Justice of India feels that integrating AI technology into the legal and judicial processes will be advantageous, which is unquestionably one of the most important issues. The Indian court system will benefit greatly from its implementation provided it is accompanied by a suitable legislative framework that specifies standards and guidelines. Who am I to judge when CJI thinks it’s advantageous to the judicial system
Issues with AI in law
NOT ENTIRELY AGREEABLE TO LEGAL SPECIALISTS:
Artificial intelligence in law is still in its infancy when we look at India. Because they think it will harm employment, lawyers are unwilling to accept this technology. They worry that technology will replace the main source of income for a lawyer or a legal assistant, leading to a rise in unemployment across the nation. The majority of seasoned solicitors are reluctant to alter their daily routines and prefer to practice law in an old-fashioned manner, without the aid of artificial intelligence.
AI’S LEGAL PERSONALITY IS UNDEFINED:
Since robots are complex in nature and artificial intelligence’s legal personality is not expressly defined elsewhere in contemporary law, it is impossible to say whether standard rules and conventions would apply to them in the same way. Because a robot is not now subject to liability under the law for its own actions or omissions, it is inevitable that there will be misunderstandings regarding the rights and obligations of AI-driven equipment and gadgets.
LACK OF PROPER SYSTEMS AND DATA:
One of the main obstacles to implementing AI technology in India is that there are many outdated machines and technologies, the data is frequently inadequate, and the machine won’t be able to operate accurately unless a sizable amount of trustworthy data is provided to it.
COSTLY: AI machines are complex machine systems that are able to learn and react on their own, which makes them an expensive investment. Only large law firms can purchase AI-driven machines because they are mostly produced by foreign corporations, making it even more challenging for small and midsized law firms to acquire them.
PRIVACY AND PROTECTION OF PERSONAL DATA: It’s crucial that machine learning robots powered by AI are developed in a way that protects the parties’ personal data. It is even more crucial that the legal framework ensures that the data is not exploited, that confidentiality is maintained, that a fair due process is followed and that a security layer to avoid privacy breaches is provided because machine learning uses vast volumes of data.
A policy document titled “National Strategy for Artificial Intelligence,” published by the NITI Ayog in 2018, examined the significance of AI and its potential applications of it across a range of Indian industries. A national AI program’s debut was also suggested in the 2019 Budget in spite of all these technological advances, India still lacks adequate legislation to manage and regulate the A.I business
Conclusion: According to me ai has a bright future in the legal industry as I give you the example of Jarvis and Kira, email how these ideas revolutionized the common man’s life with their power. Ai also can revolutionize the legal industry with his power. It can assist judges in their decision-making. But it can’t do the decision making we use it wisely. Because we can’t depend on it as it didn’t have any of its own identity. So there is a privacy and data concern but that doesn’t mean that we should not try this in our legal system as I said this can help judges and the lawyer and it is useful for law firms for due diligence work, data collection, and other tasks, all of which make their work more efficient. Despite its numerous benefits, AI cannot replace lawyers. However, AI lacks the capacity for strategic thought and is not as creative as people. Robots can’t improvise in front of a court because they lack emotional intelligence and empathy. so that’s why we should not give them the authority over anything, for example, we have all seen the Terminator where ai turned into the enemy of the human race this ai definitely does not have that much power, but still, we should take precautions that’s why We must adopt a balanced strategy to make sure AI is included. Here are some recommendations:
1) It is essential to establish a strong legal framework outlining the responsibilities and liabilities of this intelligent machine.
2) In order to control its behavior, the accountability component must be taken into account.
3) Stricter data protection laws are needed to protect privacy. Therefore, the solution is to welcome technological advancements rather than resist them and use AI to our advantage by putting the required laws in place to safeguard its users’ interests.
Author: Utkarsh kamal