TY - GEN
T1 - Binding Language in Administrative Guidance Documents
AU - Haim, Amit
N1 - Publisher Copyright:
© ICAIL 2023. All rights reserved.
PY - 2023/6/19
Y1 - 2023/6/19
N2 - Do regulatory guidance documents use binding language despite being purportedly non-binding? Regulatory agencies play a crucial role in modern societies by issuing regulations. While most regulations are promulgated as rules with public notice and comment procedures, administrative guidance documents are as abundant but less studied. They have less formal requirements and are meant as non-binding guidelines, yet skeptics argue they are often used to evade judicial review, and courts turn to their text to inquire whether they are effectively binding. Recent advancements in text analysis methods have allowed scholars to analyze regulatory text, including the measurement of binding language. However, guidance documents have not been part of this trend, largely due to their inaccessibility. This article contributes to the field of empirical legal studies and administrative law by constructing a novel dataset of guidance documents, leveraging a unique policy change. It uses text analysis methods with qualitative insights from doctrinal court decisions, and finds that guidance documents are in fact less binding than rules, but that binding language increased over time and that substantial portions of available documents score higher than a document struck down by a court.
AB - Do regulatory guidance documents use binding language despite being purportedly non-binding? Regulatory agencies play a crucial role in modern societies by issuing regulations. While most regulations are promulgated as rules with public notice and comment procedures, administrative guidance documents are as abundant but less studied. They have less formal requirements and are meant as non-binding guidelines, yet skeptics argue they are often used to evade judicial review, and courts turn to their text to inquire whether they are effectively binding. Recent advancements in text analysis methods have allowed scholars to analyze regulatory text, including the measurement of binding language. However, guidance documents have not been part of this trend, largely due to their inaccessibility. This article contributes to the field of empirical legal studies and administrative law by constructing a novel dataset of guidance documents, leveraging a unique policy change. It uses text analysis methods with qualitative insights from doctrinal court decisions, and finds that guidance documents are in fact less binding than rules, but that binding language increased over time and that substantial portions of available documents score higher than a document struck down by a court.
KW - administrative law
KW - guidance
KW - natural language processing
KW - regulation
KW - rules
UR - http://www.scopus.com/inward/record.url?scp=85177840215&partnerID=8YFLogxK
U2 - 10.1145/3594536.3595127
DO - 10.1145/3594536.3595127
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:85177840215
T3 - 19th International Conference on Artificial Intelligence and Law, ICAIL 2023 - Proceedings of the Conference
SP - 407
EP - 411
BT - 19th International Conference on Artificial Intelligence and Law, ICAIL 2023 - Proceedings of the Conference
PB - Association for Computing Machinery, Inc
T2 - 19th International Conference on Artificial Intelligence and Law, ICAIL 2023
Y2 - 19 June 2023 through 23 June 2023
ER -