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Evidence record 4022 · automatically gathered

Chunking German Legal Code

This paper investigates chunking strategies for retrieval-augmented generation on German statutory law, using the German Civil Code as a structured benchmark corpus. We implement and compare a range of segmentation approaches, including structural units (sections, subsections, sentences, propositions), fixed-size windows, contextual chunking, semantic clustering, Lumber-style chunking, and RAPTOR-based hierarchical retrieval. All methods are evaluated on a legal question-answering dataset with s

Record details

Published: 19 May 2026
Source: arXiv
Category: Research
Topics: Regulation · Finance, VC & PE
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (19 May 2026), “Chunking German Legal Code,” evidence record 4022, https://ethics.ai/record/4022 (originally published by arXiv).

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