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Original Article
AI-Powered Legal Document Analysis Tool - A Hybrid NLP & Machine Learning Approach for Automated Legal Text Processing
Ninad Vishnu Gaikwad1
Shivashankar Meganathan2
Saumya Nair3
Sakshi Shewale4
Anugrah Thekkumpuram5
1 Professor, Department of Information Technology, Pillai College of Engineering, New Panvel, Navi Mumbai, Maharashtra, India. 2 3 4 5 Department of Computer Engineering, Pillai College of Engineering, New Panvel, Navi Mumbai, Maharashtra, India.
Published Online: March-April 2026
Pages: 102-108
Cite this article
↗ https://www.doi.org/10.59256/ijire.20260702014
References
1. P. Patil, M. Dhande, V. Panse, U. Bhujbal, and T. Rajawat, "AI-powered legal documentation assistant: Legal text summarization and
analysis using NLP," Int. J. Res. Publ. Rev., vol. 6, no. 4, pp. 1166–1173, Apr. 2025.
2. J. Dong and P. Lin, "A Reinforcement Learning Framework for Accurate and Context-Aware Legal Document Summarization,"
Multidisciplinary Journal of Engineering and Technology, vol. 1, no. 2, pp. 1–9, Jun. 2024.
3. P. V. Imogen, J. Sreenidhi, and V. Nivedha, "AI-Powered Legal Documentation Assistant," Velammal Engineering College, Jun. 2024.
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Australia, Oct. 2024.
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2023.
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7. D. Jain, M. D. Borah, and A. Biswas, "Summarization of Indian Legal Judgement Documents via Ensembling of Contextual
Embedding-Based MLP Models," National Institute of Technology Silchar, India, Dec. 2021.
8. Zadgaonkar, A. V., & Agrawal, A. J. (2021). An overview of information extraction techniques for legal document analysis and
processing. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer
Engineering, 11(6), 5450. https://doi.org/10.11591/ijece.v11i6.pp5450-5457
9. R. C. Kore, P. Ray, P. Lade, and A. Nerurkar, "Legal Document Summarization Using NLP and ML Techniques," May 2020.
10. M. Dragoni, S. Villata, W. Rizzi, and G. Governatori, "Combining NLP Approaches for Rule Extraction from Legal Documents,"
MIREL 2016, Dec. 2016.
11. E. Schweighofer and D. Merkl, "A Learning Technique for Legal Document Analysis," ICAIL-99, Oslo, Norway, 1999.
12. N. Reimers and I. Gurevych, "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks," EMNLP, Nov. 2019, arXiv:
1908.10084.
13. M. Lewis et al., "BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and
Comprehension," Facebook AI, arXiv: 1910.13461, Oct. 2019.
14. K. Swamy, O. Salgare, O. Sakhare, and S. Tamboli, "ValidEase: NLP for Simplification and Summarization of Legal
Documents," Int. J. Computer Techniques, vol. 12, no. 2, Apr. 2025.
15. M. M. Rahman et al., "Legal Document Summarization Using NLP," Int. J. Innovative Research and Scientific Studies (IJIRSS), vol.
8, no. 3, pp. 5026–5042, Jun. 2025.
16. F. Ariai, J. Mackenzie, and G. Demartini, "Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models
and Challenges," ACM Computing Surveys, vol. 1, no. 1, pp. 35, Jul. 2025.
analysis using NLP," Int. J. Res. Publ. Rev., vol. 6, no. 4, pp. 1166–1173, Apr. 2025.
2. J. Dong and P. Lin, "A Reinforcement Learning Framework for Accurate and Context-Aware Legal Document Summarization,"
Multidisciplinary Journal of Engineering and Technology, vol. 1, no. 2, pp. 1–9, Jun. 2024.
3. P. V. Imogen, J. Sreenidhi, and V. Nivedha, "AI-Powered Legal Documentation Assistant," Velammal Engineering College, Jun. 2024.
4. F. Ariai and G. Demartini, "Natural Language Processing for the Legal Domain: A Survey of Tasks," The University of Queensland,
Australia, Oct. 2024.
5. A. Prasad et al., "An Overview of Legal Document Summarization Techniques," College of Engineering Kidangoor, Kerala, India, May
2023.
6. S. Ghosh, M. Dutta, and T. Das, "Indian Legal Text Summarization: A Text Normalisation-based Approach," Sep. 2022.
7. D. Jain, M. D. Borah, and A. Biswas, "Summarization of Indian Legal Judgement Documents via Ensembling of Contextual
Embedding-Based MLP Models," National Institute of Technology Silchar, India, Dec. 2021.
8. Zadgaonkar, A. V., & Agrawal, A. J. (2021). An overview of information extraction techniques for legal document analysis and
processing. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer
Engineering, 11(6), 5450. https://doi.org/10.11591/ijece.v11i6.pp5450-5457
9. R. C. Kore, P. Ray, P. Lade, and A. Nerurkar, "Legal Document Summarization Using NLP and ML Techniques," May 2020.
10. M. Dragoni, S. Villata, W. Rizzi, and G. Governatori, "Combining NLP Approaches for Rule Extraction from Legal Documents,"
MIREL 2016, Dec. 2016.
11. E. Schweighofer and D. Merkl, "A Learning Technique for Legal Document Analysis," ICAIL-99, Oslo, Norway, 1999.
12. N. Reimers and I. Gurevych, "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks," EMNLP, Nov. 2019, arXiv:
1908.10084.
13. M. Lewis et al., "BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and
Comprehension," Facebook AI, arXiv: 1910.13461, Oct. 2019.
14. K. Swamy, O. Salgare, O. Sakhare, and S. Tamboli, "ValidEase: NLP for Simplification and Summarization of Legal
Documents," Int. J. Computer Techniques, vol. 12, no. 2, Apr. 2025.
15. M. M. Rahman et al., "Legal Document Summarization Using NLP," Int. J. Innovative Research and Scientific Studies (IJIRSS), vol.
8, no. 3, pp. 5026–5042, Jun. 2025.
16. F. Ariai, J. Mackenzie, and G. Demartini, "Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models
and Challenges," ACM Computing Surveys, vol. 1, no. 1, pp. 35, Jul. 2025.
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