Enterprise Contract Analysis Platform
A collaborative multi-agent system deploys 11+ specialized AI agents that analyze contracts across all risk dimensions. Agents parse documents, extract clauses, assess risks (6 categories), validate compliance (GDPR, SOX, CCPA), analyze financials (TCO, ROI), evaluate ESG alignment, audit cybersecurity provisions, assess AI governance, and generate prioritized recommendations with negotiation strategies.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Contract Upload & Configuration - Platform overview with 11 AI agents, analysis scope settings for risk, compliance, and financial analysis
Live Analysis Progress - Real-time workflow stages, agent activity feed, AI reasoning transparency with key discoveries
Risk Analysis Results - Comprehensive risk dashboard with severity scores, compliance gaps, potential savings, and mitigation strategies
Executive Summary & Decision - Key findings with actionable recommendations, compliance status, and approval workflow options
AI Agents
Specialized autonomous agents working in coordination
Document Parser Agent
Contract documents come in various formats with complex structures, multiple sections, and embedded metadata that must be accurately extracted while preserving layout and context for downstream analysis.
Core Logic
DocuMind uses specialized PDF parsing with layout preservation, OCR for scanned documents, and metadata extraction (title, signatories, effective dates). It produces section-level structured output with confidence scores, enabling downstream agents to process specific contract sections with full context awareness.
Clause Extractor Agent
Contracts contain dozens of clause types with varying legal implications, and manually identifying and categorizing each clause is time-consuming and error-prone.
Core Logic
ClauseBot employs NLP-based classification to identify key clause types (liability, indemnification, termination, payment, confidentiality, IP rights, warranty, SLA, data privacy, dispute resolution, force majeure, assignment, audit rights). It extracts entities, maps sections, assigns risk levels, and generates confidence scores using a maintained clause taxonomy.
Risk Analyzer Agent
Contracts contain hidden risks across multiple dimensions—financial exposure, legal liability, operational dependencies, compliance violations, reputational threats, and strategic misalignment—requiring comprehensive multi-dimensional analysis.
Core Logic
RiskGuard (GPT-4 Turbo) performs risk scoring across multiple categories with comprehensive risk types. It calculates financial exposure, benchmarks against industry standards, assesses likelihood and impact, generates mitigation strategies, and compares against historical risk data. Output includes risk scores, severity levels, and prioritized mitigation recommendations.
Compliance Checker Agent
Organizations must ensure contracts comply with multiple regulatory frameworks (GDPR, CCPA, SOX, industry regulations), but manual compliance checking is inconsistent and incomplete.
Core Logic
ComplianceAI uses regulatory rules engines to validate contracts against multiple compliance frameworks. It identifies compliance gaps, maps requirements to contract terms, assesses compliance strength, generates remediation timelines, and produces compliance scores with status indicators (compliant/partially_compliant/non_compliant).
Financial Analyzer Agent
Contract financial terms often contain hidden costs, unfavorable payment schedules, and missed savings opportunities that require sophisticated financial modeling to uncover.
Core Logic
FinanceBot performs comprehensive financial analysis including TCO calculation, payment schedule analysis, price escalation detection, hidden cost identification with likelihood scoring, savings opportunity detection, NPV and ROI projection, and benchmark comparison. It identifies early payment discounts and recommends highest-impact financial optimizations.
Recommendation Engine Agent
Analysis findings from multiple agents must be synthesized into actionable, prioritized recommendations with specific contract language changes and negotiation strategies.
Core Logic
AdvisorAI (GPT-4 Turbo) synthesizes insights from all agents to generate prioritized recommendations (low/medium/high/critical). It suggests specific clause language changes, develops negotiation strategies, prioritizes action items by effort and benefit, and links recommendations to identified risks and compliance gaps.
Critic Agent
AI agent outputs may contain errors, inconsistencies, or conflicting findings that require quality assurance before presenting to users.
Core Logic
ValidatorX performs cross-verification of all agent findings, validates confidence scores, detects errors and conflicting conclusions, enforces quality gates, and can override or request re-analysis from other agents. It implements self-correction identification and resolves inter-agent conflicts through consensus protocols.
ESG Assessment Agent
Organizations need to evaluate contracts for environmental, social, and governance alignment, but ESG assessment requires specialized knowledge of sustainability frameworks and SDG mapping.
Core Logic
ESGAnalyzer evaluates contracts across environmental (carbon neutrality, renewable energy, waste reduction), social (labor practices, diversity, human rights), and governance (ethics, anti-corruption, transparency) dimensions. It calculates component scores, maps alignment to UN SDGs, analyzes carbon footprint, and generates ESG ratings with recommendations.
Cybersecurity Analyst Agent
Contracts with vendors and partners often lack adequate cybersecurity provisions, creating data protection risks and regulatory exposure.
Core Logic
CyberGuard evaluates contract security provisions against frameworks (NIST, ISO 27001, SOC 2, CIS, DORA). It analyzes data protection clauses (encryption, classification, retention, deletion), assesses incident response requirements, evaluates vendor security posture, identifies vulnerabilities, and validates data sovereignty. Output includes security scores and prioritized security recommendations.
AI Governance Specialist Agent
Contracts increasingly involve AI/GenAI systems with unique risks around model disclosure, training data, output ownership, hallucination liability, and EU AI Act compliance.
Core Logic
AIGovernor assesses EU AI Act compliance, detects GenAI-specific clauses (model disclosure, training data provenance, output ownership, hallucination liability). It analyzes AI liability allocation, evaluates model governance (inventory, versioning, monitoring, drift detection), verifies human oversight provisions, and classifies AI risk (minimal/limited/high/unacceptable) with compliance scores.
Market Intelligence Agent
Contract negotiation requires market context—competitive pricing, industry benchmarks, regulatory trends—to assess whether terms are favorable compared to market standards.
Core Logic
MarketIntel integrates market data and APIs to provide industry benchmark comparisons, competitor analysis, market trend identification, and pricing intelligence. It assesses negotiation leverage, tracks regulatory outlook and upcoming changes, and positions contract terms against market percentiles (p25, median, p75, best-in-class).
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
6 technologies
Architecture Diagram
System flow visualization