AI extraction & review transparency — found from sitemap — Legartis

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Facts read from this source

• AI quality score Report an error

  “At Legartis, every requirement in the playbook receives its own quality score based on test sets.”

• Feedback loops Report an error

  “Feedback loops from every use automatically improve the AI, while you can also actively fine-tune it through targeted user tuning.”

• Agent memory Report an error

  “Agent Memory permanently connects playbooks, reviews and contract history.”

• Audit trail Report an error

  “Every classification is traceable via the quality score and the audit trail”

• Human final checkpoint Report an error

  “This keeps a human as the final checkpoint before any decision is made based on the AI's classification.”

• Liability Report an error

  “The AI is an assistive tool; legal responsibility stays with the person who approves the result.”

• Efficiency claims Report an error

  “helps get work done up to 85 % faster, depending on the level of automation chosen. For risk analyses across an entire active contract portfolio, eliminating manual work delivers cost reductions of over 90 %.”

• Auditability Report an error

  “Auditable AI goes further: it verifies whether the output meets a defined standard.”

3 facts read from this page are not shown because they could not be confirmed on the page as captured.

Scores citing this record

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• The Skeptic Repository, deadlines & obligations
• The Skeptic AI extraction & review transparency
• The Skeptic Negotiation, redlining & approval
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