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Cheap AI-Assisted Reverse Engineering and What It Will Do
Ilan Mandel, Madiha Zahrah Choksi, Joey Castillo, Sebastian Benthall, James Grimmelmann

Cheap AI-Assisted Reverse Engineering and What It Will Do

Computer Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

Generative AI is putting the law of reverse engineering (RE) under severe strain. Existing IP and technology laws assume that RE is expensive and time-consuming, and that it requires specialized expertise. They generally allow it, but they rely on its difficulty as a filter to separate (permissible) RE from (impermissible) copying and theft. Generative AI is changing this equation by making \RE much faster, cheaper, and easier. AI systems can identify hardware components, extract firmware, decompile object code, and clone entire apps. The resulting struggle between technology vendors and reverse engineers will challenge a wide range of laws, including trade secret, copyright, anti-circumvention, computer misuse, and contract. In this article, we describe the ways in which AI is changing \RE, map these new practices onto existing laws, and sketch ways that the legal system could respond and their associated trade-offs.

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Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title Cheap AI-Assisted Reverse Engineering and What It Will Do
Author / Organization Ilan Mandel, Madiha Zahrah Choksi, Joey Castillo, Sebastian Benthall, James Grimmelmann
Subject & Discipline cs.CY
Categories Computer Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-849
Original Source Link Visit Source Page on arxiv.org »