# kaal:claim:5541658-020

**Claim.** The risk of overreliance on legal AI is amplified by the system's perceived objectivity, which invites uncritical acceptance of flawed outputs by legal professionals.

**Type.** mechanism  **Support.** argued

**Holds when.**

- legal professionals and judges using AI outputs without rigorous verification

**Source quote.**

> The risk of overreliance is exacerbated by AI's perceived objectivity, which may lead to uncritical acceptance of flawed outputs.

**From.** Wulf A. Kaal, Morgan A. Gray, *The Evolving Role of Artificial Intelligence in Law* (2025), B. Overreliance and Errors, page 26

**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.** perceived objectivity driving overreliance  (family: human-judgment-displacement)

**Topics.** institutional-design

**Keywords.** overreliance, automation-bias, perceived-objectivity, verification

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.
