Artificial Intelligence (AI) in Legal Data Mining

Aniket Deroy, Naksatra Kumar Bailung, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty
5/23/2024
cs.AI

No confident code implementation found for this paper. 3 possible matches can be shown below.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 3 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

DOLCE: A Descriptive Ontology for Linguistic and Cognitive Engineering

84% match2023

Automated Creation of the Legal Knowledge Graph Addressing Legislation on Violence Against Women: Resource, Methodology and Lessons Learned

82% match2025

Science and Technology Ontology: A Taxonomy of Emerging Topics

81% match2023

LAiW: A Chinese Legal Large Language Models Benchmark

80% match1 repo912023

Computational Law: Datasets, Benchmarks, and Ontologies

80% match2025

Ontologies in Digital Twins: A Systematic Literature Review

79% match2023

Cite this paper

@article{deroy2024artificial,
  title  = {Artificial Intelligence (AI) in Legal Data Mining},
  author = {Aniket Deroy and Naksatra Kumar Bailung and Kripabandhu Ghosh and Saptarshi Ghosh and Abhijnan Chakraborty},
  year   = {2024},
  eprint = {2405.14707},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2405.14707v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2405.14707.svg)](https://codeofpaper.com/paper/2405.14707)

Discussion