mlsanityData to 14 Oct 2026

Artificial Intelligence (AI) in Legal Data Mining

arXiv 2405.14707 ↗First posted 23 May 2024cs.AIcited by 6

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Abstract (arXiv)

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.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 0 of its 4 references that are in the map. First posted on arXiv 23 May 2024.

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Citing papers per year: 2024: 6.

6 papers.

  1. 2024Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarizationcited by 23
  2. 2024Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Modelscited by 10
  3. 2024Code Generation and Algorithmic Problem Solving Using Llama 3.1 405Bcited by 7
  4. 2024MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generationcited by 6
  5. 2024Cancer-Answer: Empowering Cancer Care with Advanced Large Language Modelscited by 0
  6. 2024CryptoLLM: Unleashing the Power of Prompted LLMs for SmartQnA and Classification of Crypto Postscited by 0