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Artificial Intelligence in Justice Delivery

Science & Technology

  • PYQs8
  • Articles1
I

Background

The application of AI in the judiciary presents both opportunities for efficiency and challenges related to ethics, fairness, and the fundamental nature of justice. UPSC examines how emerging technologies impact governance, public services, and constitutional principles.

The integration of Artificial Intelligence (AI) in justice delivery systems involves leveraging advanced computational tools to enhance judicial processes, improve efficiency, and expand access to justice. While AI can aid in tasks like legal research and administrative streamlining, its application is carefully considered to complement, not replace, human judicial reasoning.

II

Facts & tables

Judicial Stance
Supreme Court views technology as an aid to human reasoning, not a substitute for independent judicial thought.
Indigenous Development
Efforts are underway to establish an indigenous AI ecosystem for the judiciary.
AI Capabilities
AI can process legal texts rapidly, map procedural trends, and eliminate administrative checkpoints.
AI Limitations
AI lacks empathy, ethical discernment, and deep contextual understanding, which are vital for judicial judgment.
Static syllabus anchors
Type Reference
Conceptual area Emerging Information Technologies
Institutions & roles
Body Role
Supreme Court of India Adopts and implements technology
III

Prelims angle

Prelims angle: Statement-based questions

Prelims angle: Factual recall

  • Technology as an aid, not substitute for human judgment.
  • Indigenous AI ecosystem for judiciary.
  • Benefits: speed, efficiency, administrative streamlining.
  • Limitations: lacks empathy, ethical discernment, contextual understanding.
High-confidence PYQ links
Year Framing tags
2025 Statement-based questions, Factual recall
2025 Factual recall, Multi-statement analysis
2025 Statement-based questions, Factual recall
2022 Multi-statement analysis, Conceptual understanding
2020 Multi-statement analysis, Conceptual understanding
2020 Multi-statement analysis, Conceptual understanding
2019 Statement-based questions, Conceptual understanding
2017 Statement-based questions, Policy measures

Timeline

  1. Emerging Information Technologies

    Conceptual area

  2. Prelims 2017

    Statement-based questions, Policy measures

  3. Prelims 2019

    Statement-based questions, Conceptual understanding

  4. Prelims 2020

    Multi-statement analysis, Conceptual understanding

  5. Prelims 2020

    Multi-statement analysis, Conceptual understanding

  6. Prelims 2022

    Multi-statement analysis, Conceptual understanding

  7. Prelims 2025

    Statement-based questions, Factual recall

  8. Prelims 2025

    Factual recall, Multi-statement analysis

  9. Prelims 2025

    Statement-based questions, Factual recall

  10. Considerable emphasis put on developing Swadeshi jurisprudence: CJI Surya Kant

    AI in judiciary aims to enhance efficiency and access to justice, but is seen as an aid to human judgment, not a replacement, due to its limitations in empathy and ethical reasoning.

See also

Artificial Intelligence in Justice Delivery

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