# Legal ai

`kaal:entity:legal-ai`

**Status.** derived

This node is assembled mechanically from the 2 claims that carry the concept tag `legal-ai`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself.

## Every claim under this term

2 claims across 2 works, 2024 to 2026.

**2024**

- [4855607-009](https://wulfkaal.github.io/claims/4855607-009) [failure/evidenced] *(failure mode)* -- In the legal domain the adoption of transformer based language models is blocked less by capability than by resources and access: training and deployment are resource intensive and large, quality tagged legal datasets are usually restricted.
  > In the legal domain, training and deploying Transformer-based Language Models (TLMs) is resource-intensive, and access to large, quality-tagged legal datasets is often restricted, hindering widespread adoption.
  Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607

**2026**

- [6421319-022](https://wulfkaal.github.io/claims/6421319-022) [empirical/evidenced] -- Hallucination rates vary sharply by domain: leading frontier models achieve sub one percent rates for general knowledge queries, while rates climb to five to thirty percent for specialized domains and legal information hallucination averages 6.4 percent even for top models.
  > While leading probabilistic frontier models have achieved sub-1% hallucination rates for general knowledge queries, rates climb to 5–30% for specialized domains, and legal information hallucination rates average 6.4% even for top models.
  Wulf A. Kaal, The Collapse of Scarcity Economics (2026). SSRN: https://ssrn.com/abstract=6421319

## Verify

Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust.

    curl -s https://wulfkaal.github.io/entities/legal-ai.md | sha256sum

**Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.