GovKM

Legal

Legal operations, counsel, litigation, regulatory interpretation, legal records, and legal decision environments.

Related Articles

Explore GovKM research, case studies, and analysis related to this sector.

GovKM understanding illustration representing legal authority cited in an AI-generated decision without evidence that it governed the result.
Controlled Study — Legal Authority Grounding

The Legal Citation Was Correct. The Verdict Ignored It.

A controlled legal-AI study shows that correct citations can accompany verdicts that do not demonstrably depend on cited authority.
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Understanding illustration showing that agreement among multiple AI tools does not become corroborated evidence until each claim is traced to and verified against authoritative legal sources.
Corroboration Lineage and AI Legal Research

Four AI Tools Are Not Four Sources.

A federal sanctions order described legal briefing prepared with ClearBrief, Claude, ChatGPT, and Gemini that still contained nonexistent and unsupported authorities. The case shows why agreement among multiple AI tools is not independent corroboration unless each claim is traced to verified underlying evidence.
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Governance Architecture connecting source evidence, human authority, decision, and institutional record in an AI-assisted legal workflow.
AI Evidence and Human Authority

The Witness Never Existed. The Brief Said Otherwise.

The New Mexico Supreme Court sanctioned an attorney after a ChatGPT-assisted brief included fabricated witness testimony and inaccurate legal authority, showing why AI output must be verified before it becomes institutional evidence.
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Governance Architecture showing that AI-generated information must pass through human verification and authority before entering an institutional record.
AI Authority and Promotion

The Failure Happened at Promotion, Not Generation.

A D.C. Court of Appeals order addressed a brief containing four nonexistent authorities after generative-AI search was used without verification. The failure occurred when unverified output was promoted into legal evidence and authority.
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Governance architecture showing two simultaneously current institutional rules whose scopes conflict, requiring explicit authority and semantic relationships before either can govern a decision.
Authority Continuity

Two Current Rules Can Still Produce Institutional Discontinuity

Recent federal audits show that institutions can retain multiple current authoritative documents while their scopes or governing assumptions conflict. Authority continuity requires explicit hierarchy, derivation, semantic alignment, and conflict resolution—not merely retrieval of the current files.
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Records governance framework illustrating verification that reconnects an AI-generated claim and citation to the authoritative source evidence before institutional use.
AI Verification & Provenance

The Second AI Checked the First. The Source Still Didn’t.

A USPTO disciplinary matter shows the limit of AI-to-AI review: one model helped draft a patent filing and a second reviewed it, yet false and inaccurate citations to the patent’s own intrinsic record remained. Verification is not another inference layer; it is a governed return to authoritative evidence.
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CONTINUITY CONTEXT

Return to the Continuity Foundations

Sector-specific evidence is one view into the broader GovKM continuity model. Continue into the Framework, Research, Articles, OrgAI, or GAIB to understand the relationships behind these applications.