ContractIQ AI - Multi-Agent Contract Analysis

submissions/contractiq-ai/README.md

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+\# ContractIQ AI
+
+
+
+ContractIQ AI is a multi-agent contract analysis system that analyzes PDF and DOCX contracts and produces a structured contract-risk report.
+
+
+
+\## What it does
+
+
+
+ContractIQ AI uses multiple specialized AI agents instead of relying on a single analysis step.
+
+
+
+The system identifies:
+
+
+
+\- Hidden charges
+
+\- Unfair clauses
+
+\- Liability risks
+
+\- Automatic renewal risks
+
+\- Data sharing risks
+
+\- Termination issues
+
+\- Confidentiality concerns
+
+\- Governing-law considerations
+
+
+
+It then generates:
+
+
+
+\- Contract Health Score
+
+\- Risk Level
+
+\- Contract Summary
+
+\- Important Clauses
+
+\- Risk Explanations
+
+\- AI Recommendations
+
+\- Final Verdict
+
+\- Suggested Improvements
+
+
+
+\## Multi-Agent Workflow
+
+
+
+The ContractIQ workflow contains seven specialized agents:
+
+
+
+1\. DocumentAgent
+
+   - Processes the uploaded contract information.
+
+
+
+2\. RiskAgent
+
+   - Detects legal, financial and contractual risks.
+
+
+
+3\. VerdictAgent
+
+   - Generates an overall contract-health verdict.
+
+
+
+4\. RecommendationAgent
+
+   - Produces actionable recommendations for identified risks.
+
+
+
+5\. EvaluationAgent
+
+   - Evaluates the quality and completeness of the analysis.
+
+
+
+6\. DiagnoseAgent
+
+   - Diagnoses weaknesses or missing information in the generated analysis.
+
+
+
+7\. OptimizeAgent
+
+   - Combines the available agent outputs and generates the final structured report.
+
+
+
+\## Agent Lifecycle
+
+
+
+The workflow follows the lifecycle:
+
+
+
+SPEC → BUILD → EVALUATE → DIAGNOSE → OPTIMIZE
+
+
+
+The final OptimizeAgent produces the final report from the accumulated agent context.
+
+
+
+\## Final Report
+
+
+
+The final report contains:
+
+
+
+\- riskScore
+
+\- riskLevel
+
+\- summary
+
+\- importantClauses
+
+\- risks
+
+\- recommendations
+
+\- finalVerdict
+
+\- improvementsMade
+
+
+
+\## Example Contract Risks
+
+
+
+The system has been tested on service agreements containing:
+
+
+
+\- Late payment penalties
+
+\- Automatic renewal clauses
+
+\- Limitation of liability
+
+\- Third-party data sharing
+
+\- Termination conditions
+
+\- Confidentiality obligations
+
+\- Governing-law clauses
+
+
+
+\## How to Run
+
+
+
+The original ContractIQ AI application can be run using:
+
+
+
+```bash
+
+npm install
+
+npm run dev
+

submissions/contractiq-ai/agents/DocumentAgent.ts

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+export class DocumentAgent {
+
+  name = "DocumentAgent";
+
+
+  async run(context:any){
+
+    return {
+      ...context,
+
+      document:{
+        filename: context.filename,
+        text: context.contractText,
+        status:"Extracted Successfully"
+      }
+
+    };
+
+  }
+
+}
+
+
+export default DocumentAgent;

submissions/contractiq-ai/agents/EvaluationAgent.ts

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+import { callOpenRouter } from "@/runtime/openRouterClient";
+
+
+class EvaluationAgent {
+
+  name = "EvaluationAgent";
+
+
+  async run(context:any){
+
+    const prompt = `
+You are EvaluationAgent of ContractIQ AI.
+
+Evaluate the generated contract analysis report.
+
+Check:
+
+1. Risk Detection Quality
+2. Clause Coverage
+3. Verdict Accuracy
+4. Recommendation Quality
+5. Report Completeness
+
+
+Previous Analysis:
+
+Risk:
+${context.riskAnalysis}
+
+
+Verdict:
+${context.verdictAnalysis}
+
+
+Recommendations:
+${context.recommendationAnalysis}
+
+
+Return ONLY JSON.
+
+Format:
+
+{
+ "qualityScore":0,
+ "issues":[
+   ""
+ ],
+ "evaluation":""
+}
+
+qualityScore should be between 0-100.
+
+`;
+
+    const result = await callOpenRouter(prompt);
+
+
+    return {
+
+      ...context,
+
+      evaluationAnalysis: result
+
+    };
+
+  }
+
+}
+
+
+export default EvaluationAgent;

submissions/contractiq-ai/agents/RecommendationAgent.ts

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+import { callOpenRouter } from "@/runtime/openRouterClient";
+
+
+class RecommendationAgent {
+
+  name = "RecommendationAgent";
+
+
+  async run(context:any){
+
+    const prompt = `
+You are RecommendationAgent of ContractIQ AI.
+
+Generate legal recommendations based on the risk analysis and verdict.
+
+Risk Analysis:
+
+${context.riskAnalysis}
+
+
+Verdict:
+
+${context.verdictAnalysis}
+
+
+Generate:
+- Risk specific recommendations
+- Contract improvement suggestions
+- Safer alternatives
+
+
+Return ONLY JSON.
+
+Format:
+
+{
+ "recommendations":[
+   ""
+ ],
+ "improvements":[
+   ""
+ ]
+}
+
+Generate 4-6 useful recommendations.
+Avoid repeating the same suggestion.
+
+`;
+
+    const result = await callOpenRouter(prompt);
+
+
+    return {
+
+      ...context,
+
+      recommendationAnalysis: result
+
+    };
+
+  }
+
+}
+
+
+export default RecommendationAgent;