TERES, a real-time transcription system, is used in the Supreme Court for Constitution Bench hearings.
Adalat AI is operating in High Courts of nine states and has pilot projects in five others to streamline case management.
The Supreme Court uses SUVAS to translate judgments into 18 vernacular languages; over 83,783 judgments translated as of March 2025.
AI tools are being adopted by lawyers and law firms for drafting, document review, and legal research.
Detailed Insights:
TERES improves accuracy in recording court proceedings by converting oral arguments into text with a two-layer system involving AI and human review.
Adalat AI assists judges by consolidating cases from different stages into a single window, reducing time spent on locating files and understanding context.
The Kerala High Court uses AI to screen vakalatnamas, pleadings, and annexures at the filing stage, processing around 46,000 cases to reduce errors.
SUVAS aids in translating judgments and orders into regional languages, enhancing accessibility of legal information.
AI adoption in law firms is increasing for drafting legal documents, reviewing large volumes of text, and synthesizing legal precedents.
Security measures for AI systems in courts include deployment within sovereign borders, in-house AI model development, and explicit consent for data access.
Infrastructure constraints like unreliable connectivity and power cuts are considered in the development of AI tools for courts.
Key Concepts Involved:
Artificial Intelligence (AI): Simulation of human intelligence processes by computer systems.
Transcription: Converting spoken language into written text.