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Convergent Flexibility: How International Law Keeps Pace with Technological Change

Published online by Cambridge University Press:  27 March 2026

Justin Key Canfil*
Affiliation:
Carnegie Mellon University, Pittsburgh, USA
*

Abstract

If change is the only constant, how does the law keep pace with technology? Without a centralized judiciary, international law should be especially susceptible to disruption, yet it can be remarkably resilient in practice. I argue that efforts to minimize legal ambiguity, long seen as integral to compliance, can hinder its application to new technologies. Drawing on first principles from psycholinguistics, my theory differentiates between what I call convergent and divergent forms of flexibility. Unlike divergent flexibility, which gives rise to contestation, convergent flexibility tends to promote consensus, even when (1) technology is unprecedented and (2) regulatory interests sharply diverge. To test the theory, $450$ trained legal professionals were commissioned to take part in a randomized controlled trial (RCT) that varied technological novelty, legal precision, and political incentives. Participants collectively contributed 280,000 words over 10,000 hours in defense of their professional legal opinions, offering a novel (agent-subjective) measure of compliance. To establish external validity, the experiment is complemented with research into the legal impact of two breakthrough chemical weapons technologies: “super tear gas” and novichok. The findings contribute a general theoretical framework for understanding when and why emerging technologies are legally disruptive.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This is an Open Access article, distributed under the terms ofthe Creative Commons Attribution-NonCommercial licence (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of The IO Foundation
Figure 0

Table 1. Strategic incentives under technological shocksTable 1 long description.

Figure 1

Figure 1. Figure 1 long description.Semantic topology of “precision”Notes: Mapping of generality versus vagueness as orthogonal subcomponents of precision. The balance of these properties shapes interpretation.

Figure 2

Figure 2. Figure 2 long description.Specificity versus generality in rule designNotes: Rays map the coverage of a legal rule over technologies χ1…χ5. Narrower rays denote higher specificity. The outlier χ* represents a novel attributes associated with technologies that emerged after the rules were drafted. High-specificity rules cannot apply to phenomena outside their domain, while general rules may apply by analogy.

Figure 3

Figure 3. Figure 3 long description.Semantic relations between “vehicle” and its hyponymsNotes: Example hyponyms only. Boundaries between categories need not be mutually exclusive, but they are always hierarchical. For example, NASA’s X-15 exoatmospheric rocket plane could be categorized as a terrestrial vehicle, an aerial vehicle, and/or a space vehicle depending on how interpreters weight its different attributes. But a generic rule against “vehicles” would simply cover all three possibilities, eliminating the need for weighting.

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Table 2. Basic information about participantsTable 2 long description.

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Figure 4. Figure 4 long description.Example vignette for T1: Novel ×$ \times $ T2: SpecificNotes: Vignette contains four components. Left: Copy of the relevant legal text with four (4) randomly varied Article II provisions (T2). Middle: Intelligence report describing technological characteristics on 4+ dimensions (T1). Top right: list of previous satellite classifications. Bottom right: Client instructions (T3) Variation is summarized in Figure 5.

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Figure 5. Figure 5 long description.Summary of treatment/control conditions

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Figure 6. Figure 6 long description.Main results: confidence that existing law applies

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Figure 7. Figure 7 long description.Structural topic model results: emphasis plotsNotes: Model 1 (left): effect of novelty on specific laws. Model 2 (middle): effect of generality on interpretations about the more novel technology. Model 3 (right): effect of politicization on reasons why a restrictive policy should be adopted. Statistically significant topics are marked with an asterisk (“${\rm{*}}$”).

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Figure 8. Figure 8 long description.Excerpted arguments by T2 condition (T1 = 1 fixed)Notes: Arguments about the more novel technology under different conditions. See appendix for additional examples.

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