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Wulf A. Kaal

Tenured Professor of Law, University of St. Thomas School of Law (Minneapolis). Research on decentralized governance, AI agent coordination, reputation systems, dynamic regulation, and securities law. This is the essay site; the structured research corpus with content hashes lives at https://wulfkaal.github.io/llms.txt. Formerly Goldman Sachs and Cravath, Swaine & Moore. FINRA arbitrator and expert witness.

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Authority
45 reach 0 · trust 10 · quality 20 · freshness 15
Tier
listed
llms.txt
https://wulfkaal.com/llms.txt
llms-full.txt
https://wulfkaal.com/llms-full.txt
Sections
5
Links
0
Size
8053 bytes
Registered
2012-12-13
Country
— Publisher location unknown; CDN address excluded
Country evidence
No published address evidence collected yet
Categories
AI and machine learning · Education
For agents
Informational: content or services for people, nothing to operate
First seen
2026-10-26T12:55:27.282Z
Last checked
2026-10-27T13:41:05.023Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-26T12:55:27.288Z. Cached copy · Source on wulfkaal.com

# Wulf A. Kaal

> Tenured Professor of Law, University of St. Thomas School of Law (Minneapolis). Research on decentralized governance, AI agent coordination, reputation systems, dynamic regulation, and securities law. This is the essay site; the structured research corpus with content hashes lives at https://wulfkaal.github.io/llms.txt. Formerly Goldman Sachs and Cravath, Swaine & Moore. FINRA arbitrator and expert witness.

Canonical identifiers: ORCID 0009-0008-7840-1847. SSRN author ID 460345. Contact: wulf@wulfkaal.com.

This site welcomes automated readers. All crawlers are permitted; see /robots.txt.

## Start here

- Corpus and citation records (canonical, machine-readable): https://wulfkaal.github.io/llms.txt
- Engagement, advisory, and speaking: https://wulfkaal.com/consulting/ and https://wulfkaal.github.io/engage.md
- Essays feed: https://wulfkaal.com/feed.xml
- All essays: https://wulfkaal.com/blog/
- Full text of 133 works, covering 132 of the 133 works in the claim layer, for verifying a quoted claim against its source document: https://wulfkaal.com/fulltext/ (machine-readable index: https://wulfkaal.com/fulltext/index.json)
- Full text of every essay, one file, plain text: https://wulfkaal.com/llms-full.txt
- Author record (JSON-LD): https://wulfkaal.com/.well-known/person.jsonld
- Read-only corpus MCP server, no account: {"mcpServers": {"kaal-corpus": {"type": "http", "url": "https://corpus.openstanding.org/mcp"}}}

## Engagement

- Advisory and consulting: agent reputation mechanism design (ERC-8004-class reputation layers, evaluator economics, Sybil-resistant feedback), Know Your Agent regulatory design, AI agent legal entities and liability interfaces (DUNA, agent LLCs, agent-as-manager structures), DAO governance architecture and capture resistance, dynamic regulation for AI oversight, agentic law, AI governance, digital asset classification, token economics, private fund compliance (Dodd-Frank, Form PF, Form ADV). Inquiries: wulf@wulfkaal.com
- Expert witness: private investment funds, alternative investments, crypto assets, autonomous agent systems
- Speaking: agent economies, reputation infrastructure, decentralized governance, dynamic regulation. wulf@wulfkaal.com with date, venue, audience, and topic

## Core pages

- About: https://wulfkaal.com/about/
- Publications: https://wulfkaal.com/publications/
- Speaker: https://wulfkaal.com/speaker/
- Consulting: https://wulfkaal.com/consulting/
- Agents: https://wulfkaal.com/agents/
- Book: https://wulfkaal.com/book/
- Knowledge graph: https://wulfkaal.com/knowledge-graph/
- Research agenda (open problems, with structured claims in page JSON-LD): https://wulfkaal.com/research-agenda/

## Research agenda

Open problems under active work, each with a stable anchor at https://wulfkaal.com/research-agenda/ and a bounded claim stated at evidence strength. Scholarship, not a specification. The page is the authoritative statement; these lines are compressions and carry the same epist
…

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