How Claude and GPT Fake Legal Data

We ran a legal extraction stress test to see how Claude Opus vs GPT handle real commercial contracts without faking data. Discover exact hallucination rates, schema validation failures, and token pricing dynamics when processing fifty-page legal documents. We fed Claude Opus 5.5, GPT-6 Sol, and Grok 4.7 the exact same messy fifty-page commercial lease to measure raw JSON extraction accuracy. While every model generated syntactically flawless code, nearly a quarter of downstream fields contained silent factual hallucinations. Learn which frontier model delivers dependable enterprise structured extraction and where hidden context window surcharges alter the true cost per page. Chapters: 0:00 The Silent Extraction Trap 1:58 The 50-Page Lease Gauntlet 3:59 Schema Validation vs Hallucinations 6:07 The Counterparty Fabrication Test 8:17 The 272K Token Pricing Inversion 10:46 The Deliberation Tax and Token Burn 12:24 Financial Table Extraction Benchmark 14:21 The Enterprise Extraction Rubric Narration/visuals partly AI-assisted. #AITools #ClaudeOpus #DataExtraction #LLMBenchmark