mlsanityData to 14 Oct 2026

The Use of Readability Metrics in Legal Text: A Systematic Literature Review

arXiv 2411.09497 ↗First posted 14 Nov 2024cs.CLcited by 4

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Abstract (arXiv)

Understanding the text in legal documents can be challenging due to their complex structure and the inclusion of domain-specific jargon. Laws and regulations are often crafted in such a manner that engagement with them requires formal training, potentially leading to vastly different interpretations of the same texts. Linguistic complexity is an important contributor to the difficulties experienced by readers. Simplifying texts could enhance comprehension across a broader audience, not just among trained professionals. Various metrics have been developed to measure document readability. Therefore, we adopted a systematic review approach to examine the linguistic and readability metrics currently employed for legal and regulatory texts. A total of 3566 initial papers were screened, with 34 relevant studies found and further assessed. Our primary objective was to identify which current metrics were applied for evaluating readability within the legal field. Sixteen different metrics were identified, with the Flesch-Kincaid Grade Level being the most frequently used method. The majority of studies (73.5%) were found in the domain of "informed consent forms". From the analysis, it is clear that not all legal domains are well represented in terms of readability metrics and that there is a further need to develop more consensus on which metrics should be applied for legal documents.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 2 of its 72 references that are in the map. First posted on arXiv 14 Nov 2024.

Builds on

2 of 72 references.

References · 2

  1. 2014Predicting the Behavior of the Supreme Court of the United States: A General Approachcited by 4
  2. 2024Transforming Medical Regulations into Numbers: Vectorizing a Decade of Medical Device Regulatory Shifts in the USA, EU, and Chinacited by 3

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Citing papers per year: 2024: 1; 2025: 3.

4 papers.