Trying to convert our 50-page vendor contract approval process into an automated workflow. The AI copilot interprets some conditional clauses incorrectly. How precise do the natural language descriptions need to be? Any tips for structuring prompts to get accurate workflow generation?
Use Latenode’s legal workflow template as a starting point. The AI copilot recognizes common clauses if you tag sections with ##DEFAULT_RENEWAL or ##TERMINATION_CLAUSE. Generated 85% of our compliance automations correctly on first try.
Break down paragraphs into individual condition-action pairs. Train the parser on sample decisions first. We found adding example edge cases in comments (even non-technical ones) improves the initial workflow accuracy.
Ambiguity is the killer. We created a glossary of terms for our AI model with explicit definitions for ‘material breach’, ‘cure period’, etc. Version control these definitions alongside the workflow. Reduced misinterpretations from 40% to under 7% across contracts.