# kaal:claim:2939127-004

**Claim.** Law schools that invest early in artificial intelligence, machine learning, and blockchain will gain a comparative advantage over peer schools irrespective of ranking, because demand for lawyers trained in those technologies is likely to spike once law firm adoption crosses a threshold.

**Type.** mechanism  **Support.** speculative

**Holds when.**

- first mover law schools that make the financial investment
- a threshold point of law firm adoption is reached

**Source quote.**

> comparative advantage vis-à-vis their peers, regardless of the ranking of such school, because the demand for lawyers adequately trained in artfical intelligence, machine learning, and blockchain is likely to increase sharply at a threshold point of law firm adoption.

**From.** Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, *Legal Education in the Blockchain Revolution* (2017), I. Introduction, footnote 17, page 7

**Cite as.** Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, Legal Education in the Blockchain Revolution (2017). SSRN: https://ssrn.com/abstract=2939127

**Verify.** sha256 of source PDF `abcef529c7200261c59eec43018375b3b26e3186239fb9d002bacc298dba26ff` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Fenwick%20et%20al.%20-%202017%20-%20Legal%20Education%20in%20the%20Blockchain%20Revolution.pdf

**Topics.** law-and-legal-systems, education-and-practice, innovation, blockchain

**Keywords.** legal-education, first-mover-advantage, law-school-strategy, technology-adoption, blockchain

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