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A Result Is Not a Method: Why Visible Methods Matter in Legal AI
Why legal AI needs inspectable sources, provenance and human review: a legal and technical analysis of the EU Artificial Intelligence Act and GDPR.
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READING RECORD
- Path
- Core method
- Author
- Rajko Majcen
- Reading time
- 35 min
- Research verified
Legal RAG Can Fail Before the Model Answers
A genuine provision can still support the wrong answer. This article shows how collection scope, document splitting, filters and ranking determine which sources a legal AI model ever sees.
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- Reading path
- Legal sources
- Jurisdiction
- EU + Slovenia
- Reading time
- 27 min
When a Correct Citation Leads to the Wrong Law
A genuine provision and an official link do not prove that the right law was applied. This article explains why legal AI must preserve temporal versions, transitional rules and the source-selection path.
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- Reading path
- Legal sources
- Jurisdiction
- EU + Slovenia
- Reading time
- 18 min
An Audit Trail Is Not a Log: What a Digital Legal Process Must Preserve
An audit trail is useful when it permits a reasonable reconstruction of the particular process while remaining purpose-bound, appropriately protected and subject to retention rules.
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- Reading path
- Law + accountability
- Jurisdiction
- EU + Slovenia
- Reading time
- 25 min
Article 86 of the AI Act: Does the right to explanation already apply to Annex III systems?
The legal question remains open. The technical capacity to provide an intelligible explanation should not.
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- Reading path
- Law + accountability
- Jurisdiction
- EU
- Reading time
- 29 min
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