---
title: Computational Legal Studies Transformation
url: https://www.ml-quant.com/papers/ssrn/4826144/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4826144
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4826144
featured: 2024-05-15
citations: unknown
topic: LLMs & Text
---


# Computational Legal Studies Transformation

The article reviews the application of computational analysis techniques in empirical legal scholarship, emphasizing recent advancements in large language models and generative AI.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4826144
- Identifier: SSRN 4826144
- Released: 2024-05-13
- First featured: Quant Letter No. 49 (2024-05-15): https://www.ml-quant.com/issues/2024-05-15/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: LLMs & Text

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