Papers with law practitioners
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation (2022.aacl-main)
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Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, Saptarshi Ghosh
| Challenge: | Summarization of legal case judgement documents is a challenging problem in Legal NLP. |
| Approach: | They propose to use extractive and abstractive summarization methods to evaluate legal document summarizing systems. |
| Outcome: | The proposed methods have been evaluated on three legal summarization datasets. |
IL-PCSR: Legal Corpus for Prior Case and Statute Retrieval (2025.emnlp-main)
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| Challenge: | Existing models for identifying/retrieving relevant statutes and prior cases/precedents are inherently related, e.g., similar cases tend to cite similar statutes due to similar factual situation. |
| Approach: | They propose a corpus that provides a common testbed for developing models that exploit the dependence between the two tasks. |
| Outcome: | The proposed corpus exploits the dependence between the two retrieval tasks and provides a baseline model for the two tasks. |