[Answered] How Artificial Intelligence can help in handling the pendency in courts in India?

Introduction: Contextual introduction.

Body: Explain how Artificial Intelligence can help in handling the pendency in courts in India.

Conclusion: Write a way forward.

Artificial Intelligence has a multiplier effect on increasing the efficiency of any system or industry. If used effectively, it can bring about incremental changes and transform the ecosystem of several sectors. Nearly 5 crores cases are pending and most of the pending cases are small and repetitive cases which primarily impact the poor and can be fast-tracked.

Artificial Intelligence can help in handling the pendency in courts in India in following manner:

  • Software systems are now available that can help reduce the role of the judge to just choosing among options for the ruling and sign.
  • The entire court complex can be digitised – taking away the process of filing, scheduling, prioritising and even making the judgment.
  • To prevent misuse, the AI analysis is transparent and clear about the parameters and assumptions, and the logic of its algorithms is traceable.
  • Machine learning improves accuracy and reduces time in the future and adapts to
    new types of cases.
  • It has the possibility of helping judges conduct trials faster and more effectively thereby reducing the pendency of cases.
  • It will assist legal professionals in devoting more time in developing better legal reasoning, legal discussion and interpretation of laws.
  • Furthermore, intelligent tools, like legal bots, can be designed to help potential litigants with better informed decision making concerning their legal rights, and easily and cost-effectively access basic legal services.
  • One such complex tool named SUPACE (Supreme Court Portal for Assistance in Court Efficiency) was recently launched by the Supreme Court of India.

The protection of personal data in the AI environment may be a serious challenge wherein there may be trade-off between privacy and prosperity. The General Data Protection Regulation in European Union, the sectoral and state laws in US and cybersecurity law in China may be taken as the basis for policy formulation.

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