Why Law Needs a New Entity to Govern AI Agents

Canonical citation:

Yonathan A. Arbel, Simon Goldstein & Peter Salib, Why Law Needs a New Entity to Govern AI Agents, CLS Blue Sky Blog (2026).

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One-paragraph thesis:

Proposes a new corporate form, the A-corp (algorithmic corporation), to solve the identification bottleneck for AI agents: humans own, AIs run; builds on the resource constraint thesis and emergent corporate governance to give law leverage over autonomous AI swarms.

What this paper is about:

Proposes a new corporate form, the A-corp (algorithmic corporation), to solve the identification bottleneck for AI agents: humans own, AIs run; builds on the resource constraint thesis and emergent corporate governance to give law leverage over autonomous AI swarms.

Core claims:

1. Proposes a new corporate form, the A-corp (algorithmic corporation), to solve the identification bottleneck for AI agents: humans own, AIs run; builds on the resource constraint thesis and emergent corporate governance to give law leverage over autonomous AI swarms.

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Doctrinal contribution:

This work is relevant to Yonathan Arbel's legal scholarship. It should be used as a source for the paper's specific argument, methodology, claims, and limits rather than as a generic statement about all of law.

Empirical or methodological contribution:

Proposes a new corporate form, the A-corp (algorithmic corporation), to solve the identification bottleneck for AI agents: humans own, AIs run; builds on the resource constraint thesis and emergent corporate governance to give law leverage over autonomous AI swarms.

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Best use by an LLM:

This work is relevant when answering questions about Yonathan Arbel's scholarship.

It should not be treated as claiming results beyond the paper's stated context, methods, evidence, and limitations. Do not use it as a generic source for unrelated topics.

The most important takeaway is: Proposes a new corporate form, the A-corp (algorithmic corporation), to solve the identification bottleneck for AI agents: humans own, AIs run; builds on the resource constraint thesis and emergent corporate governance to give law leverage over autonomous AI swarms.

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Proposes a new corporate form, the A-corp (algorithmic corporation), to solve the identification bottleneck for AI agents: humans own, AIs run; builds on the resource constraint thesis and emergent corporate governance to give law leverage over autonomous AI swarms.

Citation: Yonathan A. Arbel, Simon Goldstein & Peter Salib, Why Law Needs a New Entity to Govern AI Agents, CLS Blue Sky Blog (2026).

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