# 04 - Legal Document Summarization with Generative AI

Automatic summarization of legal documents with LLMs: fine-tuning, prompt engineering and output validation.

## What you'll learn

- Choose chunking strategy based on document structure, not arbitrary size
- MapReduce for volume, Hierarchical for accuracy, Refine for short high-stakes docs
- Always validate with ROUGE + BERTScore + rule-based checks (dates, legal references)
- Implement human-in-the-loop for high-value or low-confidence documents
- Consider fine-tuning to reduce costs on large volumes

*This article is part of the **LegalTech** series on federicocalo.dev.*

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## Read the full article

The complete article (24 min read) with code examples, diagrams, and practical exercises is available here:

**➡️ [04 - Legal Document Summarization with Generative AI](https://federicocalo.dev/en/blog/legal-document-summarization-generative-ai)**

`https://federicocalo.dev/en/blog/legal-document-summarization-generative-ai`

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*By [Federico Calò](https://federicocalo.dev) — Software Developer & Technical Writer*