# kaal:claim:5541658-002

**Claim.** Early legal expert systems failed because they were brittle: they could not handle unforeseen complexity and could not generalize beyond the domains they were explicitly programmed for.

**Type.** failure  **Support.** argued

**Holds when.**

- rule-based systems of the 1980s

**Source quote.**

> However, early expert systems were brittle, struggling with unforeseen complexities and lacking the ability to generalize beyond their programmed

**From.** Wulf A. Kaal, Morgan A. Gray, *The Evolving Role of Artificial Intelligence in Law* (2025), The 1980s: Rise of Legal Expert Systems, page 6

**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

**Failure mode.** expert system brittleness  (family: ai-model-and-training-failure)

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

**Keywords.** legal-expert-systems, brittleness, rule-based-systems, generalization

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