Artificial Intelligence and legal ethics: A need for new guidelines

Artificial Intelligence, abbreviated as AI is a technological tool that is used to build machines and computer systems intelligent as human beings. It’s like giving the human brain to machines, so a lot of work that humans are capable of doing will also be done by machines , robots and computer systems. The idea of this technology was coined by John McCarthy who is also called the Father of AI. Manav India’s first 3D printed humanoid robot is developed by A- SET training and reserve institute.

It responds to human voices and talks, walks, dances  and acts , just like a human. The in-built software provides it with an ability to perceive depth and perspective. Indro, kempa Robocop, IRA , Mitra , RADA, DRDO, and many others, which are developed to assist humans in their daily work and increase efficiency and accuracy by being available 24/7.

As we know, AI has broadened it’s ambit and is made available in almost all the industries as of now. Medicine, education, science, robotics, aviation , E-commerce, transportation, agriculture, media and what not. This article will elucidate about the legal ethics that work with artificial intelligence for its proper functioning. Ethics in AI include the techniques and principles used for making the devices and systems. Few pillars of ethics that are always considered while generating AI controlled systems are:

  • Fairnessit talks about how rational and unbiased a humanoid can be while making certain decisions in areas of discipline such as , legal , business, education, healthcare, science and etc fields.
  • Transparency how understandable and comprehensive results it can form from the given data.
  • Robustness how active the system is to determine malwares in the software so that the data stored in them is protected.
  • Reliability –  how well it presents only lawful and safe sites for the users so as to mitigate the risks of data breach and other Cyber crimes.
  • Privacy  the data stored in the systems should be confidential and not to be disclosed to third parties. For that the engineers need to make strong softwares with strong passwords so that no one could read the information.
  • Unbiasvarious individuals should put in the efforts when making the AI generated softwares so that the conclusions that it later shows are not biased and partial.
  • Accuracy the conclusions derived from artificial intelligent machines should be accurate and reasonable that benefits the people.
  • Accountability –  legal practitioners should define a distinction of what data is to be processed by artificial intelligence and which are to be dealt on their own.
  • Storageit is presumed that technology can hold large amount of data and on just one click , it becomes accessible to the user. Hence, the in-built softwares should be of high quality.
  • Trained AI the artificial intelligent machines should be trained enough to interpret the human queries well and produce just conclusions.
  • LawDroid Copilot is a legal AI chatbot that law firms can use to automate documents, conduct legal research, and brainstorm ideas. This functionality enables LawDroid users to scale their processes and operate more efficiently. Separately to this, LawDroid offers a no-code AI development platform, enabling law firms to set up their own client-facing legal AI chatbots. It allows firms to incorporate video and other forms of content into their responses.
  • DoNotPay is a free consumer-focused legal AI chatbot. Unlike other legal AI tools that are designed to serve law firms and in-house legal departments.DoNotPay users can leverage AI responses to cancel services, dispute parking tickets, claim back money, and request refunds in instances where the companies they’re dealing with haven’t proven supportive.
  • Casetext is alegal AI chatbot that works with law firms, litigators, and attorneys. Also known as CoCounsel, the legal AI chatbot can conduct legal research, prepare for depositions, summarize legal documents, and review them for compliance. This enables legal professionals to work faster and more efficiently on these tasks, freeing up time for higher-value projects.

There are no specific guidelines laid down for the management of artificial intelligence in India for legal practices. Therefore, the regulation of all the use of Artificial Intelligence for the users is done by years of practice and growth it has performed. The utility of AI has reduced the burden on legal practitioners by dealing with day- to – day cases and being available 24/7. It helps in quick decisions and saves the time. In spite of that,

  • one needs to look after the work done by artificial intelligence and consider reading the data before presentation. We should be aware of the fact that the remedies provided by AI cannot overrule the human judgement and opinions.
  • The clients should have the knowledge that their lawyers and other legal practitioners are using the technology of artificial intelligence for the case.
  • The data provided by the client must be confidential and not to be disclosed to third parties. So for that such strong and trained softwares should be powered by AI.
  • It should be quality data produce by the AI – generated machines which is competent with the legal data and the case.
  • The data provided by AI should be made available anytime one wants it.
  • The legal research should be carefully done by the lawyers so as to mitigate the risks of inaccuracies and any form of embarrassment.
  • Legal practitioners should know the data which is relevant for them to use and what not.

Hence, artificial intelligence has proved to be a boon for the management of mundane tasks in the legal field , but certainly, professional etiquettes are to be performed to utilize this technology in the best way possible.

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