In With the Old: Enhancing 'Classical' Document Automation with Generative AI
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Abstract (arXiv)
Software-based legal assistance systems have leveraged many different forms of knowledge representation and reasoning. This article explores how document automation services rooted in expert system style and other symbolic approaches can usefully enhance and be enhanced by current generative AI approaches. We discuss the possible benefits and challenges, and report on preliminary experiments in using large language models to identify and fix issues in texts written by laypeople.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 33 references that are in the map. First posted on arXiv 5 Oct 2026.
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6 of 33 references.
References · 6
- 2023Explaining Legal Concepts with Augmented Large Language Models (GPT-4)cited by 40
- 2023Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Textscited by 33
- 2023Using Large Language Models to Support Thematic Analysis in Empirical Legal Studiescited by 25
- 2024Robots in the Middle: Evaluating LLMs in Dispute Resolutioncited by 14
- 2024Getting in the Door: Streamlining Intake in Civil Legal Services with Large Language Modelscited by 6
- 2024Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justicecited by 4
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