AI COURTROOM: AN AI-POWERED LEGAL LEARNING & TRIAL PREPBOT

An AI-driven Courtroom simulation for Indian Law marks a transformational step in the realm of legal education. Alongside theoretical knowledge, practical exposure of the same teachings propels students to learn better, in a more engaged manner. This research combines the use of Natural Language Processing (NLP) along with Large Language Models (LLM) to ensure that users can communicate with the system via the use of textual inputs. Users, who can play the role of an attorney, receive relevant, real-time responses from the system which comprises of an opposing AI counsel and a simulated AI Judge. To add an element of realism to the userexperience, this application also produces synthetic cases that are derived from real life scenarios. These efforts make sure that students, irrespective of their financial or social backgrounds can utilize this application to get hands-on experience in a courtroom setting, hence filling the gap between classroom learning and real-world exposure, while enhancing the accessibility of the same.

Authors

Institutions

Publication Details

Journal
Lex localis - Journal of Local Self-Government
Published
2025-10-13
DOI
https://doi.org/10.52152/801995
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI COURTROOM: AN AI-POWERED LEGAL LEARNING & TRIAL PREPBOT

Prateek Mishra, Aruna Gawade, Monika Agarwal, Nilesh Rathod et al.
Lex localis - Journal of Local Self-Government
Artificial Intelligence in Healthcare and Education
article

AI COURTROOM: AN AI-POWERED LEGAL LEARNING & TRIAL PREPBOT

Prateek Mishra, Aruna Gawade, Monika Agarwal, Nilesh Rathod, Md Masud Rana, Mr. Pranav Nagvekar, Ms. Yashvi Savla
article en

Abstract

An AI-driven Courtroom simulation for Indian Law marks a transformational step in the realm of legal education. Alongside theoretical knowledge, practical exposure of the same teachings propels students to learn better, in a more engaged manner. This research combines the use of Natural Language Processing (NLP) along with Large Language Models (LLM) to ensure that users can communicate with the system via the use of textual inputs. Users, who can play the role of an attorney, receive relevant, real-time responses from the system which comprises of an opposing AI counsel and a simulated AI Judge. To add an element of realism to the userexperience, this application also produces synthetic cases that are derived from real life scenarios. These efforts make sure that students, irrespective of their financial or social backgrounds can utilize this application to get hands-on experience in a courtroom setting, hence filling the gap between classroom learning and real-world exposure, while enhancing the accessibility of the same.

Lex localis - Journal of Local Self-GovernmentVol. 23(S6)
Dwarkadas J. Sanghvi College of Engineering (IN)
Openalex Percentile: Top 79%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.