# Public Law and Legal Theory Research Paper Series — one-page summary

**Paper ID:** `ssrn-4526219`
**Year:** 2023
**Author(s):** Yonathan Arbel
**SSRN:** https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4526219

## TL;DR

Professor Yonathan Arbel of the University of Alabama School of Law argues that Large Language Models (LLMs) introduce "Generative Interpretation," a paradigm shift in legal text analysis. This approach enables AI to parse contracts, identify ambiguities, and predict judicial outcomes, offering a potentially cheaper, more accurate, and accessible method than traditional textualism or contextualism. He posits that generative interpretation can resolve long-standing interpretive debates, enhance access to justice, and fundamentally re-equip legal theory for AI's role as an active interpretive agent in contract law.

## Keywords

contracts; AI; law

## Files

- Full text: `papers/ssrn-4526219/paper.txt`
- PDF: `papers/ssrn-4526219/paper.pdf`
- Summary (EN): `papers/ssrn-4526219/summary.md`
- Summary (ZH): `papers/ssrn-4526219/summary.zh.md`

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