Artificial Intelligence (AI) in Legal Data Mining

TL;DR

This paper discusses the challenges of unstructured legal data and the use of ontologies to organize legal information for better analysis and automation, highlighting a specific ontology for Indian IPR court cases.

Contribution

It introduces the concept of legal ontologies and presents a specific ontology for Indian IPR court cases, emphasizing interdisciplinary collaboration.

Findings

Legal data is often unstructured and hard to analyze.

Ontologies can effectively organize legal concepts and data.

A specific ontology for Indian IPR cases was developed.

Abstract

Despite the availability of vast amounts of data, legal data is often unstructured, making it difficult even for law practitioners to ingest and comprehend the same. It is important to organise the legal information in a way that is useful for practitioners and downstream automation tasks. The word ontology was used by Greek philosophers to discuss concepts of existence, being, becoming and reality. Today, scientists use this term to describe the relation between concepts, data, and entities. A great example for a working ontology was developed by Dhani and Bhatt. This ontology deals with Indian court cases on intellectual property rights (IPR) The future of legal ontologies is likely to be handled by computer experts and legal experts alike.