Law smells: Defining and detecting problematic patterns in legal drafting

Law smells: Defining and detecting problematic patterns in legal drafting

Building on the computer science concept of code smells, we initiate the study of law smells, i.e., patterns in legal texts that pose threats to the comprehensibility and maintainability of the law. With five intuitive law smells as running examples—namely, duplicated phrase, long element, large ref...

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Bibliographic Details
Main Authors: COUPETTE, Corinna, HARTUNG, Dirk, BECKEDORF, Janis, BÖTHER, Maximilian, KATZ, Daniel Martin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
Law
Natural language processing
Network analysis
Refactoring
Software engineering
Artificial Intelligence and Robotics
Science and Technology Law
Online Access:https://ink.library.smu.edu.sg/sol_research/4521
https://ink.library.smu.edu.sg/context/sol_research/article/6479/viewcontent/s10506_022_09315_w.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sol_research/4521
https://ink.library.smu.edu.sg/context/sol_research/article/6479/viewcontent/s10506_022_09315_w.pdf

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