contract-clause-analyzer
The Contract Clause Analyzer uses natural language processing to automatically extract and categorize key sections from construction contracts, flagging high-risk provisions like indemnification and liability limitations. Use this skill when reviewing construction agreements to accelerate clause identification, prioritize risk areas by severity level, and ensure critical obligations and deadlines are not overlooked during contract evaluation.
git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction /tmp/contract-clause-analyzer && cp -r /tmp/contract-clause-analyzer/1_DDC_Toolkit/Document-Control/contract-clause-analyzer ~/.claude/skills/contract-clause-analyzerSKILL.md
# Contract Clause Analyzer
## Business Case
### Problem Statement
Contract review is time-consuming and error-prone:
- Important clauses missed
- Risk provisions overlooked
- Inconsistent interpretation
- Long review cycles
### Solution
AI-assisted contract clause analysis that identifies key provisions, flags risks, and extracts critical terms.
## Technical Implementation
```python
import pandas as pd
from datetime import datetime, date
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
import re
class ClauseType(Enum):
SCOPE = "scope"
PAYMENT = "payment"
SCHEDULE = "schedule"
CHANGE_ORDER = "change_order"
TERMINATION = "termination"
INDEMNIFICATION = "indemnification"
INSURANCE = "insurance"
WARRANTY = "warranty"
DISPUTE = "dispute"
LIABILITY = "liability"
FORCE_MAJEURE = "force_majeure"
SAFETY = "safety"
COMPLIANCE = "compliance"
OTHER = "other"
class RiskLevel(Enum):
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
INFO = "info"
@dataclass
class ContractClause:
clause_id: str
section: str
title: str
text: str
clause_type: ClauseType
risk_level: RiskLevel
key_terms: List[str] = field(default_factory=list)
obligations: List[str] = field(default_factory=list)
deadlines: List[str] = field(default_factory=list)
amounts: List[str] = field(default_factory=list)
notes: str = ""
@dataclass
class AnalysisResult:
contract_name: str
analyzed_date: datetime
total_clauses: int
clauses: List[ContractClause]
risk_summary: Dict[str, int]
key_dates: List[Dict[str, str]]
key_amounts: List[Dict[str, str]]
class ContractClauseAnalyzer:
"""Analyze construction contract clauses."""
RISK_KEYWORDS = {
'high': ['indemnify', 'sole discretion', 'waive', 'forfeit', 'liquidated damages',
'consequential', 'unlimited liability', 'hold harmless', 'no limit'],
'medium': ['shall', 'must', 'required', 'obligated', 'responsible', 'liable',
'penalty', 'default', 'breach'],
'low': ['may', 'should', 'reasonable', 'mutual', 'consent', 'approval']
}
CLAUSE_PATTERNS = {
ClauseType.PAYMENT: ['payment', 'invoice', 'retainage', 'progress payment'],
ClauseType.SCHEDULE: ['schedule', 'completion date', 'milestone', 'time is of the essence'],
ClauseType.CHANGE_ORDER: ['change order', 'modification', 'additional work', 'variation'],
ClauseType.TERMINATION: ['termination', 'terminate', 'cancellation'],
ClauseType.INDEMNIFICATION: ['indemnif', 'hold harmless', 'defend'],
ClauseType.INSURANCE: ['insurance', 'coverage', 'policy', 'insured'],
ClauseType.WARRANTY: ['warranty', 'guarantee', 'defect', 'workmanship'],
ClauseType.DISPUTE: ['dispute', 'arbitration', 'mediation', 'litigation'],
ClauseType.LIABILITY: ['liability', 'damages', 'limitation'],
ClauseType.FORCE_MAJEURE: ['force majeure', 'act of god', 'unforeseen'],
}
def __init__(self):
self.clauses: List[ContractClause] = []
def analyze_text(self, contract_name: str, text: str) -> AnalysisResult:
"""Analyze contract text."""
self.clauses = []
# Split into sections/clauses
sections = self._split_into_sections(text)
for i, section in enumerate(sections):
clause = self._analyze_clause(f"CL-{i+1:03d}", section)
self.clauses.append(clause)
# Generate summary
risk_summary = {
'high': sum(1 for c in self.clauses if c.risk_level == RiskLevel.HIGH),
'medium': sum(1 for c in self.clauses if c.risk_level == RiskLevel.MEDIUM),
'low': sum(1 for c in self.clauses if c.risk_level == RiskLevel.LOW)
}
key_dates = []
key_amounts = []
for clause in self.clauses:
for d in clause.deadlines:
key_dates.append({'clause': clause.clause_id, 'date': d})
for a in clause.amounts:
key_amounts.append({'clause': clause.clause_id, 'amount': a})
return AnalysisResult(
contract_name=contract_name,
analyzed_date=datetime.now(),
total_clauses=len(self.clauses),
clauses=self.clauses,
risk_summary=risk_summary,
key_dates=key_dates,
key_amounts=key_amounts
)
def _split_into_sections(self, text: str) -> List[Dict[str, str]]:
"""Split contract into sections."""
sections = []
# Simple split by numbered sections
pattern = r'(\d+\.[\d\.]*\s+[A-Z][^\.]+)'
parts = re.split(pattern, text)
current_title = ""
for i, part in enumerate(parts):
if re.match(r'\d+\.[\d\.]*\s+[A-Z]', part):
current_title = part.strip()
elif part.strip() and current_title:
sections.append({
'title': current_title,
'text': part.strip()
})
current_title = ""
# If no sections found, treat whole text as one
if not sections and text.strip():
sections.append({'title': 'Contract Text', 'text': text.strip()})
return sections
def _analyze_clause(self, clause_id: str, section: Dict[str, str]) -> ContractClause:
"""Analyze single clause."""
text = section.get('text', '')
title = section.get('title', '')
text_lower = text.lower()
# Determine clause type
clause_type = self._determine_type(text_lower)
# Assess risk level
risk_level = self._assess_risk(text_lower)
# Extract key terms
key_terms = self._extract_key_terms(text)
# Extract obligations
obligations = self._extract_obligations(text)
# Extract dates
deadlines = self._extract_dates(Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.
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