Set the guardrails for AI use in courtrooms , Pg6

Key Highlights:

• The Kerala High Court released guidelines in July 2025 for AI use in district courts, the first such policy in India.
• AI tools aim to improve court efficiency amidst five crore pending cases.
• Risks include translation errors, transcription inaccuracies, and bias in legal research.
• The eCourts Project emphasizes creating technology offices to guide courts in AI assessment and implementation.

Detailed Insights:

• AI-enabled translations and transcriptions carry risks of errors, as seen in legal cases where names and phrases were misinterpreted.
• Legal Large Language Models (LLM) can fabricate case laws and cite incorrect sources, raising concerns about reliability.
• AI may oversimplify adjudication by reducing it to rule-based inferences, potentially overlooking human judgment and context.
• Courts are testing AI tools without clear parameters for success, time-frames, or data management frameworks.
• Critical AI literacy is needed among judges, court staff, and lawyers to understand the limitations of AI systems.
• Standardized procurement guidelines are essential to evaluate the reliability and suitability of AI systems.
• Litigants should have the right to be informed about AI use and potentially opt-out if they have concerns.
• The eCourts Project recognizes the need for technology offices to guide courts in implementing digital solutions.

Key Concepts Involved:

• Artificial Intelligence (AI): Simulation of human intelligence processes by computer systems.
• Large Language Models (LLM): AI algorithms that use deep learning techniques and massive datasets to understand and generate human language.
• eCourts Project: An initiative to digitize the Indian judicial system for improved efficiency and accessibility.