Abstract

Legal contracts contain ambiguities that expose enterprises to financial and legal risks. Some ambiguities allow flexible interpretation without triggering disputes, while others lead to significant legal conflicts. This makes identification alone insufficient, and interpretable rationale analysis essential. We propose LAURA, a post-training framework for interpretable ambiguous clause identification. LAURA leverages knowledge distillation with an IRAC-Unlearning prompting technique to transfer knowledge from a teacher LLM to an open-weight student model (<=1B parameters), which is then trained using a joint objective combining classification and rationale generation losses. The framework supports both legal and non-legal stakeholders in making informed decisions about which ambiguities require further attention. Extensive experiments across 7 baselines and 7 open-weight models demonstrate that LAURA with Flan-T5 (250M) delivers state-of-the-art interpretability over all interpretable baselines while matching the identification performance of the best-performing opaque baseline.

Keywords

Subject

Publication details

Journal
Not available
Open access
Green open access

Cite this article

APA 7

Singh, A., Joshi, A., Jiang, J., & Paik, H. Y. (2026). LAURA: Knowledge Distillation for Interpretable Ambiguous Clause Identification in Legal Contracts. https://omanscience.com/en/articles/laura-knowledge-distillation-for-interpretable-ambiguous-clause-identification-in-legal-contracts

MLA 9

Singh, Amrita, et al. "LAURA: Knowledge Distillation for Interpretable Ambiguous Clause Identification in Legal Contracts." https://omanscience.com/en/articles/laura-knowledge-distillation-for-interpretable-ambiguous-clause-identification-in-legal-contracts.

Chicago (author–date)

Singh, Amrita, Aditya Joshi, Jiaojiao Jiang, and Hye-young Paik. 2026. "LAURA: Knowledge Distillation for Interpretable Ambiguous Clause Identification in Legal Contracts." https://omanscience.com/en/articles/laura-knowledge-distillation-for-interpretable-ambiguous-clause-identification-in-legal-contracts.

Harvard

Singh, A., Joshi, A., Jiang, J. and Paik, H. Y. (2026) 'LAURA: Knowledge Distillation for Interpretable Ambiguous Clause Identification in Legal Contracts', Available at: https://omanscience.com/en/articles/laura-knowledge-distillation-for-interpretable-ambiguous-clause-identification-in-legal-contracts.

Vancouver

Singh A, Joshi A, Jiang J, Paik HY. LAURA: Knowledge Distillation for Interpretable Ambiguous Clause Identification in Legal Contracts. https://omanscience.com/en/articles/laura-knowledge-distillation-for-interpretable-ambiguous-clause-identification-in-legal-contracts

IEEE

A. Singh, A. Joshi, J. Jiang, and H. Y. Paik, "LAURA: Knowledge Distillation for Interpretable Ambiguous Clause Identification in Legal Contracts," https://omanscience.com/en/articles/laura-knowledge-distillation-for-interpretable-ambiguous-clause-identification-in-legal-contracts.