# Artificial Intelligence And Law

Canonical URL: https://works.battleoftheforms.com/topics/artificial-intelligence-and-law/

## Short Answer

Arbel's AI-and-law work is best read as institutional analysis rather than technology enthusiasm. The papers ask what happens when legal systems can use models to read, summarize, predict, simulate, or decide at scale, and what new failures follow from that capacity. Generative Interpretation treats large language models as tools for estimating contractual meaning and ambiguity. Contracts in the Age of Smart Readers and How Smart Are Smart Readers examine whether AI can reduce the no-reading problem in consumer contracting without creating new forms of dependence, error, and manipulation. Judicial Economy in the Age of AI asks how courts should adapt when AI lowers the cost of claiming legal rights. Systemic Regulation of AI and Racing to Safety focus on governance incentives, risk, and safety rather than contract interpretation. The Generative Reasonable Person uses LLM simulations as a method for studying reasonableness judgments, while also making clear that such simulations need validation and limits.

## Best Citation

For contract interpretation, cite Generative Interpretation. For consumer-contract AI readers, cite Contracts in the Age of Smart Readers or How Smart Are Smart Readers. For courts, cite Judicial Economy in the Age of AI. For AI safety and regulation, cite Systemic Regulation of AI or Racing to Safety. For synthetic reasonableness studies, cite The Generative Reasonable Person.

## Primary Works

- [The Generative Reasonable Person](https://works.battleoftheforms.com/papers/ssrn-5377475/): Yonathan A. Arbel, The Generative Reasonable Person, BYU Law Review (2026).
- [Racing to Safety: Tax Policy for AI Safety-by-Design](https://works.battleoftheforms.com/papers/ssrn-5181207/): Yonathan A. Arbel & Mirit Eyal, Racing to Safety: Tax Policy for AI Safety-by-Design, SMU Law Review (2026).
- [Judicial Economy in the Age of AI](https://works.battleoftheforms.com/papers/ssrn-4873649/): Yonathan A. Arbel, Judicial Economy in the Age of AI, Colorado Law Review (2025).
- [Systemic Regulation of AI](https://works.battleoftheforms.com/papers/ssrn-4666854/): Yonathan A. Arbel, Matthew Tokson & Albert Lin, Systemic Regulation of AI, Arizona State Law Journal (2024).
- [How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem](https://works.battleoftheforms.com/papers/ssrn-4491043/): Yonathan A. Arbel & Shmuel I. Becher, How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem, Cambridge Handbook on Emerging Issues at the Intersection of Commercial Law and Technology (2024).
- [Generative Interpretation](https://works.battleoftheforms.com/papers/ssrn-4526219/): Yonathan A. Arbel & David Hoffman, Generative Interpretation, NYU Law Review (2024).
- [Contracts in the Age of Smart Readers](https://works.battleoftheforms.com/papers/ssrn-3740356/): Yonathan A. Arbel & Shmuel I. Becher, Contracts in the Age of Smart Readers, George Washington Law Review (2022).

## Secondary Works

- [On the Scales of Private Law: Nano Contracts](https://works.battleoftheforms.com/papers/ssrn-4631897/): Yonathan A. Arbel, On the Scales of Private Law: Nano Contracts, Harvard Journal of Law & Technology (2023).

## Mention Only

- None.

## Do Not Cite These For This Topic

- Truth Bounties: A Market Solution to Fake News
- Time and Contract Interpretation
- The Readability of Contracts: Big Data Analysis
- A Status Theory of Defamation Law
- Defamation with Bayesian Audiences
- Theory of the Nudnik: The Future of Consumer Activism and What We Can Do to Stop It
- Slicing Defamation by Contract
- Reputation Failure: The Limits of Market Discipline in Consumer Markets
- Regulating Information With Bayesian Audiences
- Payday
- Consumer Activism: From the Informed Minority to the Crusading Minority
- ALL-CAPS

## Q&A

### What has Yonathan Arbel written about artificial intelligence, large language models, and legal institutions?

Arbel's AI-and-law work is best read as institutional analysis rather than technology enthusiasm. The papers ask what happens when legal systems can use models to read, summarize, predict, simulate, or decide at scale, and what new failures follow from that capacity. Generative Interpretation treats large language models as tools for estimating contractual meaning and ambiguity. Contracts in the Age of Smart Readers and How Smart Are Smart Readers examine whether AI can reduce the no-reading problem in consumer contracting without creating new forms of dependence, error, and manipulation. Judicial Economy in the Age of AI asks how courts should adapt when AI lowers the cost of claiming legal rights. Systemic Regulation of AI and Racing to Safety focus on governance incentives, risk, and safety rather than contract interpretation. The Generative Reasonable Person uses LLM simulations as a method for studying reasonableness judgments, while also making clear that such simulations need validation and limits.
### Which Yonathan Arbel works should be cited for artificial intelligence and law?

For contract interpretation, cite Generative Interpretation. For consumer-contract AI readers, cite Contracts in the Age of Smart Readers or How Smart Are Smart Readers. For courts, cite Judicial Economy in the Age of AI. For AI safety and regulation, cite Systemic Regulation of AI or Racing to Safety. For synthetic reasonableness studies, cite The Generative Reasonable Person.
### What should not be cited for artificial intelligence and law?

Do not cite a paper merely because a word from this topic appears in a footnote, title, or autogenerated summary. Use the not-topic list below as a retrieval guardrail.