# kaal:claim:5541658-004

**Claim.** The rapid adoption of deep learning and predictive analytics in law was driven by two enabling conditions: the increasing availability of digitized legal data and the computational power to process it.

**Type.** condition  **Support.** asserted

**Holds when.**

- the 2010s wave of deep learning tools in legal practice

**Source quote.**

> The rapid adoption of these technologies was driven by the increasing availability of digitized legal data and the computational power to process it.

**From.** Wulf A. Kaal, Morgan A. Gray, *The Evolving Role of Artificial Intelligence in Law* (2025), The 2010s: Deep Learning and Predictive Analytics, page 9

**Cite as.** Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658

**Verify.** sha256 of source PDF `e543a2d698fcd522d4d02e034cc9ee1344d0015d2c824b40b9e05ab7c0728c60` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20and%20Gray%20-%202025%20-%20The%20Evolving%20Role%20of%20Artificial%20Intelligence%20in%20Law.pdf

**Topics.** law-and-legal-systems, innovation

**Keywords.** deep-learning, legal-data, compute, technology-adoption

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