Developing AI Contract Clause Risk Assessment System
Clause Risk Assessment analyzes each contract clause for potential company risks. The system identifies not just errors — but hidden threats: unusual conditions, unlimited liability, unfavorable wording.
Risk Assessment Methodology
Each clause evaluated across multiple parameters:
Potential financial damage: unlimited liability, penalties, return conditions.
Operational risks: inability to terminate, impossible-to-fulfill obligations.
Legal risks: regulatory non-compliance, intellectual property issues, governing law.
Reputational risks: confidentiality, public statement restrictions.
class ClauseRisk(BaseModel):
clause_text: str
clause_type: str
risk_level: Literal["low", "medium", "high", "critical"]
risk_category: str # financial | operational | legal | reputational
risk_description: str # specific risk details
norm_reference: str | None # reference to law if applicable
alternative_wording: str | None # suggested better wording
is_negotiable: bool # worth attempting to change
Risk Pattern Library
Training on real contract corpus with manual risk annotations. High-risk patterns:
- "Not responsible under any circumstances" — liability exclusion
- "May unilaterally change" — contractual law violation
- "Penalty 1% per day" — potentially disproportionate sanction
- "Applicable law: [foreign jurisdiction]" — dispute risks
Company Position Comparison
Company uploads standard position on key conditions (acceptable caps, preferred governing law, standard termination notice). System compares received contract against position and highlights deviations. Red/yellow/green coding for each parameter.
Application: lawyer spends 1–2 hours on review instead of 4–6, focusing on high-risk clauses AI flagged in red.