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September 24, 2025Law Technology and HumansOpen Access

Chain of Prompts and Memories for Accessible Symbolic Applications in the Legal Domain

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Authors

MBMarco BilliAPAlessandro ParentiGPGiuseppe Pisano

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Overview

Analysis demonstrates that integrating large language models with symbolic systems improves explainability and accessibility in legal reasoning tasks.

Key Points

  • Enhanced clarity and interpretability of legal tasks is achieved by structuring them into a modular sequence of prompts, improving overall communication.
  • The first case study on computable contracts illustrates how the modular approach maps code to contractual provisions effectively, thereby increasing accessibility.
  • Utilizing contextually relevant memory retrieval alongside large language models bridges the communicability gap inherent in traditional symbolic systems.
  • Findings indicate that the hybrid methodology not only promotes explainability but also maintains justifiability across diverse legal applications.

Cite This Study

Billi et al. (2025) studied this question.

synapsesocial.com/papers/68d6e14f8b2b6861e4c3fdddhttps://doi.org/10.5204/lthj.4010
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Also Consider

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