The document discusses how artificial intelligence (AI) and machine learning (ML) can significantly reduce the backlog of pending court cases in India, which currently stands at around 40 million. It outlines several applications of AI/ML in the legal system, including aiding judges in understanding petitions, searching for similar cases, identifying frivolous cases, assisting in decision-making, and even automating verdicts for minor cases. The use of these technologies aims to improve efficiency and accuracy in legal proceedings, ultimately helping to expedite the judicial process.

1. How Artificial Intelligence and
Machine Learning can speed up
court cases
Siva Prasad Bose

2. Introduction
• Technologies such as Artificial Intelligence (AI) and
Machine Learning (ML) are becoming common across
industries, including the legal system.
• There are around 40 million pending cases in various
courts in India.
• The use of such technology is critical if the backlog ever is
to be cleared.
• In this presentation we consider a few ways in which AI/ML
can be useful in legal cases.

3. AI to help judges understand petitions
• Artificial intelligence tools involving natural
language processing (NLP) can help to identify
the salient points in court petitions, which can
be used to aid the judges in understanding the
petition and deliver verdicts.
• For example, AI can be used to identify what are
the basic facts of the case, what are the
evidences placed before the court, and what is
the prayer by the litigant.
• It can help to prepare a summary of the salient
points of the case.
• This can be displayed in an annotated form in
front of the judge.
Natural
Language
Processing
+ =
Original
Petition
Annotated
Petition
(Title,
Summary,
arguments
etc.)

4. AI to search similar cases
• Artificial intelligence and machine learning
tools can be used to search similar cases and
verdicts from a database of cases
• This can help litigants and lawyers to better
prepare their case
• This can also help judges to deliver more
balanced and accurate verdicts.
+
Search
Terms /
keywords/
case
document
=
Database of
cases
Similar cases

5. AI to identify frivolous cases
• AI tools can be used to identify frivolous
cases at the start
• This can be based on
• certain pre-set criteria, or
• prediction using machine learning models trained
on legal data, or
• a combination of both.
• Such cases can be squashed at the start,
thus saving the valuable time of the courts.
New case
filed
AI based
fact
checking
Frivolous
case
identified
DISMISSED

6. AI to help judges with decision making
• Machine Learning models can be trained on a
dataset of past legal cases.
• The trained models can be used to predict the
verdicts in ongoing cases on the basis of
similarity with past cases.
• This can help the judges to make more correct
decisions.
Ongoing
Case
Document
Trained
Machine
Learning
Model
+ =
Predicted
Verdict

7. AI to automatically pronounce verdicts online
• In some types of minor cases, AI can be
used to pronounce verdicts in the cases
that are filed online, on the basis of the
petition document
• The litigants do not have to come to
court at all.
• This can save effort, time and money for
all parties.
VERDICT!!