Key points are not available for this paper at this time.
The constant increase in the number of pending cases in Indian courts has been a cause of concern for the legislative, executive and the judicial wings of the country. To address this issue, several measures have been taken, including pushing for Alternative Dispute Resolution (ADR) mechanisms and eliminating unnecessary laws, but using the recently discovered field of Artificial Intelligence to address this dilemma is still unexplored. A civil or criminal trial can take years to be settled, in contrast to industrialised countries where trials can be completed in a few days. This is due to the issue of a judge scarcity and the rising number of cases being instituted. The end outcome is inefficient and delayed justice delivery, which is not beneficial to any society. Therefore, in addition to traditional answers, creative thinking is required to bring back the efficacy and efficiency of the justice delivery system and ensure its sustainability. Using artificial intelligence to decide legal cases is one such solution. Since India's courts are already undergoing a radical transition as a result of turning digital, the newly-emerging field of study known as "Artificial Intelligence," or "AI," may be able to provide long-term justice delivery and clear the backlog of unresolved cases in unexpected ways. AI systems have already been used by the judiciaries in several developed nations, like the United States and Canada, to support the judges. Artificial intelligence will undoubtedly be a blessing to ensure a sustainable and efficient justice delivery system, as it has already shown its value in a number of industries, including marketing by tracking consumer purchasing patterns, self-driving cars, medical, and transportation. In this research, the benefit of using artificial intelligence to make decisions in court is a workable way to reduce the backlog of cases in India and other jurisdictions while also guaranteeing quick and long-lasting justice delivery systems globally.
S. John A. (Thu,) studied this question.