December 24, 2025 5:30 pm

Judiciary and Technology Need Balance, Says CJI

CURRENT AFFAIRS: CJI on Technology in Judiciary, eCourts Mission Mode Project Phase III, National Judicial Data Grid, Artificial Intelligence in Indian Judiciary, Blockchain Judiciary Use, NLP OCR Judiciary, Case Information Software FOSS, Supreme Court Digital Reforms, Deep Learning Judicial Backlog

Judiciary and Technology Need Balance, Says CJI

Values still matter in a digital judiciary

Judiciary and Technology Need Balance, Says CJI: The Chief Justice of India (CJI) recently reminded us that while technology is reshaping the judiciary, it can never replace the human values of empathy, discretion, and deep judicial thinking. These qualities are the backbone of justice, and technology, no matter how advanced, must function within the framework of constitutional values.

How tech is transforming courts?

The Indian judiciary has started using Artificial Intelligence (AI), Machine Learning (ML), and automation in powerful ways. Let’s look at some of the major applications:

Automated case handling

Through automated case management, courts are now able to schedule smartly, prioritize pending cases, and reduce backlog more efficiently. For instance, Deep Learning algorithms help predict the urgency of cases and allocate resources accordingly.

Predictive analysis of judgments

By studying historical case data, AI tools can offer predictive insights. This helps in understanding likely outcomes based on patterns, although judges still make the final decisions.

Smarter document handling

With tools like Optical Character Recognition (OCR) and Natural Language Processing (NLP), the judiciary is moving away from bulky paper files. Digitized documents now allow for quicker search and error-free referencing.

Blockchain for tamper-proof records

Blockchain technology is being explored to securely manage judicial deposit registers and to prevent record tampering. Its immutability ensures that once a record is added, it can’t be changed.

AI chatbots for the public

Courts are also introducing AI-driven chatbots that guide users with real-time case updates, legal information, and help on procedural steps. This is especially useful in remote or underserved areas.

Major digital initiatives in courts

eCourts Project

The eCourts Mission Mode Project, launched under the National eGovernance Plan, has seen three phases:

  • Phase I (2011-2015): Basic computerization of District Courts
  • Phase II (2015-2023): Gave more control to High Courts to implement tech projects
  • Phase III: Budget 2023-24 announced Rs. 7000 crores to deepen these reforms

NJDG and CIS

The National Judicial Data Grid (NJDG) compiles judgments, orders, and case data from courts across the country. It’s a step towards transparency. Meanwhile, Case Information Software (CIS), developed using Free and Open-Source Software (FOSS), supports both District and High Courts.

Challenges that still need attention

AI bias and ethics

Despite all the tech upgrades, AI can show bias if the data it learns from is flawed. This could lead to discriminatory outcomes, which is dangerous in a system meant to ensure justice for all.

Data security concerns

Courts handle sensitive information. If digital systems are breached, it could affect the public’s trust in the legal system.

Legitimacy and connectivity

Verifying the identity of remote witnesses and ensuring stable internet in rural regions remain big hurdles. Tech malfunctions can delay hearings and affect judgment timelines.

Static Usthadian Current Affairs Table

Judiciary and Technology Need Balance, Says CJI:

Content Area Details
eCourts Mission Mode Project Started in 2011, 3 phases, Rs. 7000 crores announced in 2023-24 budget
National Judicial Data Grid Collects and publishes court data across India
Blockchain in Judiciary Used for judicial deposit records and tamper-proof documentation
OCR and NLP Help in document digitization and search
CJI View Empathy and discretion irreplaceable; tech should follow Constitution
CIS Software FOSS-based tool used in District and High Courts
AI Challenges Bias, data security, identity verification, poor rural connectivity
Judiciary and Technology Need Balance, Says CJI
  1. CJI emphasized that technology must uphold constitutional values like empathy and discretion.
  2. The judiciary is adopting AI, ML, OCR, NLP, and blockchain technologies.
  3. Automated case management improves scheduling, backlog reduction, and case prioritization.
  4. Deep Learning is used to assess urgency and resource allocation in cases.
  5. Predictive AI tools provide likely outcomes based on historical judgment data.
  6. OCR and NLP tools allow courts to digitize bulky files and enable smart document search.
  7. Blockchain technology is used for tamper-proof judicial records and deposit registers.
  8. AI chatbots help the public with real-time updates and procedural guidance.
  9. eCourts Mission Mode Project was launched under National eGovernance Plan.
  10. Phase I (2011–2015) focused on computerizing District Courts.
  11. Phase II (2015–2023) enabled High Courts to independently implement tech reforms.
  12. Phase III received Rs. 7000 crores in the Union Budget 2023–24 for deeper digitization.
  13. National Judicial Data Grid (NJDG) compiles judgments and case data from all courts.
  14. Case Information Software (CIS) uses FOSS to support court digital infrastructure.
  15. AI bias from flawed data can lead to discriminatory outcomes.
  16. Data security is critical as courts handle sensitive legal information.
  17. Issues like internet instability in rural areas can delay digital hearings.
  18. Remote witness verification and tech glitches affect judicial legitimacy.
  19. Despite advancements, human values are essential in the justice delivery system.
  20. The judiciary must strike a balance between innovation and ethical governance.

Q1. What is the Chief Justice of India’s main caution regarding technology in the judiciary?


Q2. What is the purpose of the National Judicial Data Grid (NJDG)?


Q3. Which phase of the eCourts Project was allocated Rs. 7000 crores in the 2023-24 budget?


Q4. How is blockchain being explored in the Indian judiciary?


Q5. What is a major ethical concern with using AI in judicial systems?


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