AI-Powered Contract Intelligence Digital Worker
Implements a ReAct-pattern (Reasoning + Action) multi-agent system with 6 specialized AI agents that parse documents, extract entities, assess risks, validate compliance, and generate actionable recommendations. Includes human-in-the-loop approval gates for high-risk decisions.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Contract Intelligence Platform dashboard with system metrics, AI model infrastructure, and specialized agent overview
Document analysis configuration interface with compliance framework selection and AI agent deployment options
Agent Orchestration Theater showing real-time ReAct pattern execution with live reasoning and tool calls
Comprehensive contract analysis results with key findings, risk scores, compliance status, and actionable recommendations
AI Agents
Specialized autonomous agents working in coordination
Orchestrator Agent
Complex document analysis requires coordinated execution of multiple specialized tasks with dependency management and optimal sequencing.
Core Logic
Creates execution plans with parallel and sequential steps, coordinates handoffs between specialized agents, monitors overall progress, resolves conflicts between agent recommendations, manages the approval gate workflow, and compiles final reports. Uses tools: Workflow Planner, Conflict Resolver, Quality Gate.
Document Parser Agent
Contracts arrive in various formats (PDF, scanned images, Word) and require structured extraction of clauses, sections, and formatting for downstream analysis.
Core Logic
Applies OCR with 97%+ confidence to extract text from any document format, analyzes document structure to identify sections (Parties, Terms, Termination, Liability), detects and categorizes 24+ clause types, and passes structured data to downstream agents with confidence scores.
Entity Extractor Agent
Critical contract data (parties, dates, amounts, obligations) is buried in dense text, requiring manual review to extract and validate key terms.
Core Logic
Applies Named Entity Recognition (NER) to identify parties, dates, monetary amounts, durations, and locations with 85%+ confidence. Links entities to source clauses, maps relationships between parties and obligations, and extracts 30+ obligation statements categorized by responsible party.
Risk Analyzer Agent
Identifying unfavorable contract terms (uncapped liability, short termination notice, one-sided indemnification) requires deep legal expertise and careful clause-by-clause review.
Core Logic
Analyzes liability exposure and compares to industry benchmarks, evaluates termination clauses for notice periods and cure rights, assesses payment structure risks and milestone clarity, generates risk scores (0-100) with severity classifications, and triggers human-in-the-loop approval when high-risk items (score > 70) are detected.
Compliance Checker Agent
Contracts must comply with multiple regulatory frameworks (GDPR, SOC2, industry standards), and manual compliance checking is inconsistent and incomplete.
Core Logic
Validates contracts against GDPR requirements (data processing agreements, retention policies), checks SOC2 compliance (security provisions, audit rights, incident response), benchmarks against industry standards for contract terms, and generates compliance scores with specific violation details and remediation recommendations.
Recommendation Engine Agent
Aggregating findings from multiple analysis streams into actionable recommendations with prioritization and impact assessment requires expertise across legal, financial, and operational domains.
Core Logic
Synthesizes inputs from all agents into unified findings, generates 8+ prioritized recommendations with effort/impact analysis, creates executive summaries tailored to audience (CXO, Technical, Business Analyst), produces action items with owners, due dates, and status tracking.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
6 technologies
Architecture Diagram
System flow visualization