Skip to main content
Skip to footer

You have these already downloaded

We have sent you a copy of the report to your email again.

What we do

Authors

Sagar Sunkle, Senior Scientist, TCS Research  
Vinay Kulkarni, Chief Scientist, TCS Research  

 

Highlights

  • A template-based recommendation system derived on the user's profile and insights obtained from similar historical cases.
  • An approach leveraging natural language processing techniques to help users get specific legal solutions.
  • Contextualizing legal insights for a user based on prior legal proceedings using NLP technique.

My paper in 2 minutes

Deriving legal recommendations using NLP technique


Natural language processing techniques help draw user-specific insights in legal cases.

Legal professionals use their experience or refer to relevant previous judicial evidence to prescribe the course of action to their clients while offering legal services. Comprehending prior legal proceedings and contextualizing the insights to a given user profile is a challenging task. 

We present a template-based recommendation system derived on the user's profile and insights obtained from similar past cases. Natural language processing techniques are used to parse the relevant text to create user-specific legal insights. These insights populate a template to provide the final recommendations to the user. Using NLP techniques, we demonstrate the system with two case studies: parental alienation and divorce cases. Our system shows promising results in creating meaningful insights and recommendations.

Read paper

Related reading

Zero Trust Network Architecture: Business Security in a Digital World

White Paper | 25 Aug 2023

New tools for optimizing Lithium-Ion Battery Performance

White Paper | 17 Aug 2023

INAE honors two eminent TCS scientists 

White Paper | 08 Aug 2023

Creating a Digital Twin of the Human Skin – A New Milestone

Article | 08 Aug 2023
Contact Contact