# Similar Cases Recommendation using Legal Knowledge Graphs

arXiv: https://arxiv.org/abs/2107.04771 · HTML: https://mlsanity.com/paper/2107.04771/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- Builds on 7 of its 25 references that are in the map.
- First posted on arXiv 10 Jul 2021.

## Builds on (most cited first, 7 of 7)

- [Stanza: A Python Natural Language Processing Toolkit for Many Human Languages](https://mlsanity.com/paper/2003.07082/) (2020)
- [How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence](https://mlsanity.com/paper/2004.12158/) (2020)
- [Link Prediction using Graph Neural Networks for Master Data Management](https://mlsanity.com/paper/2003.04732/) (2020)
- [Explainable Link Prediction for Privacy-Preserving Contact Tracing](https://mlsanity.com/paper/2012.05516/) (2020)
- [Collective Learning From Diverse Datasets for Entity Typing in the Wild](https://mlsanity.com/paper/1810.08782/) (2018)
- [Fine Grained Classification of Personal Data Entities](https://mlsanity.com/paper/1811.09368/) (2018)
- [Document Structure aware Relational Graph Convolutional Networks for Ontology Population](https://mlsanity.com/paper/2104.12950/) (2021)

## Built on by (most cited first, 9 of 9)

- [Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization](https://mlsanity.com/paper/2502.20364/) (2025)
- [Constructing a Knowledge Graph for Vietnamese Legal Cases with Heterogeneous Graphs](https://mlsanity.com/paper/2309.09069/) (2023)
- [Infusing Knowledge into Large Language Models with Contextual Prompts](https://mlsanity.com/paper/2403.01481/) (2024)
- [Human Centered AI for Indian Legal Text Analytics](https://mlsanity.com/paper/2403.10944/) (2024)
- [NeuroSymbolic AI for Legal AI-TRISM: Trustworthy, Reliable, Interpretable, Safe Models](https://mlsanity.com/paper/2606.15646/) (2026)
- [xEM: Explainable Entity Matching in Customer 360](https://mlsanity.com/paper/2212.00342/) (2022)
- [Citation Recommendation on Scholarly Legal Articles](https://mlsanity.com/paper/2311.05902/) (2023)
- [An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis](https://mlsanity.com/paper/2507.07893/) (2025)
- [Trustworthy Domain-Specific AI for Structured Knowledge Retrieval and Reasoning](https://mlsanity.com/paper/2610.08894/) (2026)

## Abstract (arXiv)

A legal knowledge graph constructed from court cases, judgments, laws and other legal documents can enable a number of applications like question answering, document similarity, and search. While the use of knowledge graphs for distant supervision in NLP tasks is well researched, using knowledge graphs for applications like case similarity presents challenges. In this work, we describe our solution for predicting similar cases in Indian court judgements. We present our results and also discuss the impact of large language models on this task.