In With the Old: Enhancing 'Classical' Document Automation with Generative AI
cs.AI, cs.CL
Submitted: 2026-10-05
Updated: 2026-10-05
Comments: 10 pages. AI for Access to Justice Workshop at ICAIL 2025
License: http://creativecommons.org/licenses/by/4.0/
The gist: Software-based legal assistance systems have leveraged many different forms of knowledge representation and reasoning.
Terminology
Abstract
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.
Sources
- Explaining Legal Concepts with Augmented Large Language Models (GPT-4)
- Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts
- Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies
- Robots in the Middle: Evaluating LLMs in Dispute Resolution
- Getting in the Door: Streamlining Intake in Civil Legal Services with Large Language Models
- Weaving Pathways for Justice with GPT: LLM-driven automated drafting of interactive legal applications
- Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice
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