Distributed Legal Infrastructure for a Trustworthy Agentic Web

Fuente: arXiv
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Main Authors: Chaffer, Tomer Jordi, Zhang, Victor Jiawei, Facchini, Sante Dino, Hu, Botao Amber, Rong, Helena, Guo, Zihan, Wang, Xisen, Santana, Carlos, De Gasperis, Giovanni
Format: Preprint
Published: 2026
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author Chaffer, Tomer Jordi
Zhang, Victor Jiawei
Facchini, Sante Dino
Hu, Botao Amber
Rong, Helena
Guo, Zihan
Wang, Xisen
Santana, Carlos
De Gasperis, Giovanni
author_facet Chaffer, Tomer Jordi
Zhang, Victor Jiawei
Facchini, Sante Dino
Hu, Botao Amber
Rong, Helena
Guo, Zihan
Wang, Xisen
Santana, Carlos
De Gasperis, Giovanni
contents The agentic web marks a structural transition from a human-centered information network to a digital environment populated by artificial intelligence (AI) agents that perceive, decide, and act autonomously. As delegated action unfolds at machine speed, exceeds discrete moments of human judgment, and distributes decision-making across non-human actors, existing legal frameworks face growing strain, creating an urgent need for new mechanisms capable of sustaining legality in this emerging order. A trustworthy agentic web therefore depends on the infrastructuring of legality through interoperable protocols that organize identity, delegation, and accountability across systems, enabling coherent governance beyond isolated platforms. Towards this end, this article advances a distributed legal infrastructure (DLI), a governance paradigm composed of five interlocking layers: (1) self-sovereign, soulbound agent identities; (2) cognitive AI logic and constraint systems; (3) decentralized adjudication mechanisms for dispute resolution; (4) bottom-up agentic market regulation to mitigate information asymmetries and network effects, including insurance-based models; and (5) portable institutional frameworks that enable legal interoperability while preserving plural sources of authority. This reference framework contributes to emerging research on embedding legality within agentic web infrastructure, aligning distributed technical systems with accountability, contestability, and rule-of-law principles.
format Preprint
id arxiv_https___arxiv_org_abs_2603_06884
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Distributed Legal Infrastructure for a Trustworthy Agentic Web
Chaffer, Tomer Jordi
Zhang, Victor Jiawei
Facchini, Sante Dino
Hu, Botao Amber
Rong, Helena
Guo, Zihan
Wang, Xisen
Santana, Carlos
De Gasperis, Giovanni
Artificial Intelligence
The agentic web marks a structural transition from a human-centered information network to a digital environment populated by artificial intelligence (AI) agents that perceive, decide, and act autonomously. As delegated action unfolds at machine speed, exceeds discrete moments of human judgment, and distributes decision-making across non-human actors, existing legal frameworks face growing strain, creating an urgent need for new mechanisms capable of sustaining legality in this emerging order. A trustworthy agentic web therefore depends on the infrastructuring of legality through interoperable protocols that organize identity, delegation, and accountability across systems, enabling coherent governance beyond isolated platforms. Towards this end, this article advances a distributed legal infrastructure (DLI), a governance paradigm composed of five interlocking layers: (1) self-sovereign, soulbound agent identities; (2) cognitive AI logic and constraint systems; (3) decentralized adjudication mechanisms for dispute resolution; (4) bottom-up agentic market regulation to mitigate information asymmetries and network effects, including insurance-based models; and (5) portable institutional frameworks that enable legal interoperability while preserving plural sources of authority. This reference framework contributes to emerging research on embedding legality within agentic web infrastructure, aligning distributed technical systems with accountability, contestability, and rule-of-law principles.
title Distributed Legal Infrastructure for a Trustworthy Agentic Web
topic Artificial Intelligence
url https://arxiv.org/abs/2603.06884