# Study pack: JUDICIAL ECONOMY IN THE AGE OF AI (ssrn-4873649)

- SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4873649
- Full text: `papers/ssrn-4873649/paper.txt`
- Summary (EN): `papers/ssrn-4873649/summary.md`
- Summary (ZH): `papers/ssrn-4873649/summary.zh.md`

## Elevator pitch

Professor Yonathan Arbel of the University of Alabama School of Law argues that AI's potential to reduce legal costs and increase access to justice paradoxically threatens judicial economy with a litigation boom. Instead of courts historically shrinking rights to cope, he proposes proactively integrating AI tools into the legal system. This would enhance and scale judicial processes, addressing the vast unmet legal needs, leveraging AI's growing capabilities despite current flaws, and preventing regressive responses to increased caseloads. The goal is to improve justice delivery by making the system more efficient and accessible.

## Keywords / concepts

contracts; AI; law

## Suggested questions (for RAG / study)

- What is the paper’s main claim and what problem does it solve?
- What method/data does it use (if any), and what are the main results?
- What assumptions are doing the most work?
- What are the limitations or failure modes the author flags?
- How does this connect to the author’s other papers in this corpus?

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