TY - Type of reference TI - Computational Characterization and Taxonomy of Patent Writing Styles: Towards Stylometric Automation of Technical Drafting AU - Ghislain DEMONDA AU - Sébastien LABORIE AU - Christian SALLABERRY AU - Nathalie VALLES-PARLANGEAU AB - In the field of intellectual property, patents are essential technical and legal documents whose drafting requires expertise that combines technical, legal, and linguistic skills. Patent drafting styles vary considerably depending on technological domains, jurisdictions, and protection strategies. This article proposes the design of SCASB (System for Stylometric Characterization and Automation of Patents), an approach that, for the first time, unifies the technical, legal, and stylistic dimensions within a coherent computational framework. We propose a two-dimensional taxonomy of patent analysis approaches (automatic computational methods for document analysis × level of analytical granularity) and highlight current shortcomings. Our system builds upon the rapid advances in artificial intelligence technologies, particularly natural language processing (NLP). This work opens the path toward intelligent automation of technical drafting that accounts for the stylistic nuances specific to each jurisdiction and protection strategy. DO - 10.21494/ISTE.OP.2026.1450 JF - Open Journal in Information Systems Engineering KW - Patent Analysis, Stylometry, Natural Language Processing, Machine Learning, Technical Writing, Analyse de brevets, Stylométrie, Traitement automatique du langage naturel, Apprentissage automatique, Rédaction technique, L1 - https://www.openscience.fr/IMG/pdf/iste_roisi26v6n2_4.pdf LA - en PB - ISTE OpenScience DA - 2026/04/22 SN - 2634-1468 TT - Caractérisation informatique et taxonomie des styles rédactionnels de brevets : vers une automatisation stylométrique de la rédaction technique UR - https://www.openscience.fr/Computational-Characterization-and-Taxonomy-of-Patent-Writing-Styles-Towards IS - Special Issue INFORSID 2025 VL - 6 ER -