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04 - Legal Document Summarization with Generative AI

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

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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.


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


By Federico Calò — Software Developer & Technical Writer