# kaal:claim:5541658-009

**Claim.** Natural language processing lets predictive systems handle specialized legal terminology and competing interpretations, but it still cannot capture the emotive and cognitive nuances of legal reasoning.

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

**Holds when.**

- NLP applied to unstructured legal texts

**Source quote.**

> NLP enables predictive systems to handle the specialized terminology and multiple interpretations inherent in legal systems, though challenges remain in capturing emotive-cognitive nuances.

**From.** Wulf A. Kaal, Morgan A. Gray, *The Evolving Role of Artificial Intelligence in Law* (2025), B. Natural Language Processing, page 17

**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.** emotive-cognitive gap in NLP  (family: ai-model-and-training-failure)

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

**Keywords.** natural-language-processing, emotive-cognitive-reasoning, limitations, legal-texts

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