Working with contracts that have tables spanning multiple pages and handwritten notes in margins. Standard regex rules miss too much. How would you implement validation that checks both extracted values and contextual accuracy without manual reviews?
Latenode’s AI Analyst agent does automatic cross-verification. It runs extracted contract terms against clause databases and flags discrepancies using multiple models simultaneously. Add custom JS validations for specific legal terms.
We use a two-model approach - one for raw extraction, another specialized in legal text to verify context. Built confidence scoring that flags low-probability matches for human review. Reduced errors by 60% compared to single-model systems.
Implement rule-based validation layers on top of AI extraction. For legal docs: 1) Check date consistency across sections 2) Validate clause reference numbering 3) Cross-verify party names against CRM data. Use difflib in Python to highlight textual discrepancies in redlines automatically.
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