Developing AI Contract Analysis System
Contract Analysis automatically extracts and analyzes legally significant information from contracts. The system replaces part of a lawyer's initial review work: identifying contract contents, non-standard terms, and issues requiring attention.
Analysis Components
Extraction: structured extraction of all key data — parties, subject matter, terms, amounts, conditions.
Clause identification: classification of each clause by type — obligation, right, limitation, condition, liability exemption.
Risk scoring: assessment of each clause by risk level with justification.
Anomaly detection: atypical conditions relative to market practice or company template.
Summary: readable summary of key conditions for non-technical audience.
Implementation
class ContractAnalysis(BaseModel):
summary: str # brief summary 3-5 sentences
contract_type: str
parties: list[Party]
key_obligations: list[Obligation] # what each party must do
key_rights: list[str]
financial_terms: FinancialTerms
term: TermInfo
termination: TerminationInfo
liability_caps: str | None # limitation of liability
risk_clauses: list[RiskClause] # clauses with elevated risk
missing_standard_clauses: list[str] # what's absent but typical
overall_risk_level: Literal["low", "medium", "high", "critical"]
recommendations: list[str]
Standard Clause Library
Quality analysis foundation — library of typical clauses. Each contract category has mandatory and recommended clauses. Missing mandatory clause — warning. Unusual wording — legal flag.
Library updated by legal department: legislative change → mandatory clause list update → automatic application to all new analyses.
Multilingual Analysis
Contracts may be in Russian, English, or both simultaneously. GPT-4o / Claude handle both languages. For specialized languages (German, French) — translation via NLLB + analysis in English.