MCP Multi-Agent Orchestration Server

# Future Goals & Improvements This document outlines the planned improvements and next steps for the Contract Comparisons MCP Server project. ## Table of Contents 1. [Architecture Improvements](#architecture-improvements) 2. [Agent Enhancements](#agent-enhancements) 3. [External Data Integration](#external-data-integration) 4. [Prompt Engineering](#prompt-engineering) 5. [Performance Optimizations](#performance-optimizations) --- ## Architecture Improvements ### 1. LangGraph Integration for Parallel Processing **Current State:** - Agents execute sequentially (one after another) - Total processing time: ~50-80 seconds for complex queries - No parallelization of independent agent tasks **Goal:** - Implement LangGraph to enable parallel agent execution - Improve orchestrator to intelligently determine which agents can run in parallel - Reduce total processing time by 40-60% for multi-agent queries **Benefits:** - Faster response times - Better resource utilization - More scalable architecture - Clearer workflow visualization **Implementation Notes:** - Use LangGraph's DAG (Directed Acyclic Graph) structure - Identify independent agent tasks that can run simultaneously - Maintain sequential execution only when agents depend on each other's outputs --- ## Agent Enhancements ### 2. Internal Agent Improvements **Current State:** - Internal agent receives document text and includes it in prompts - Basic text extraction and search functionality - Limited ability to quote and extract specific contract sections **Goal:** - **Accurate Contract Parsing**: Extract and quote specific clauses, terms, and sections - **Structured Extraction**: Pull apart contracts into: - Key clauses (termination, indemnification, dispute resolution) - Legal requirements and obligations - Dates, deadlines, and timeframes - Parties and their responsibilities - Jurisdiction and governing law - **Citation Capability**: Quote exact text from documents with page/section references - **Comparison-Ready Output**: Format data in a way that facilitates comparison with external requirements **Example Use Case:** ``` User Query: "What are the termination requirements in my Italy contract?" Expected Output: - Exact quote: "Termination requires 60-day written notice..." - Section reference: "Section 4.2, Page 3" - Related clauses: "See also Section 4.3 (Early Termination Penalties)" ``` ### 3. External Agent Improvements **Current State:** - External agent uses LLM to simulate external database queries - No actual connection to real legal/compliance databases - Generic responses without specific legal citations **Goal:** - **WIPO Integration**: Connect to World Intellectual Property Organization database - **Accurate Legal Data**: Pull real compliance requirements, regulations, and legal standards - **Structured Output**: Extract and format legal requirements similar to internal agent: - Specific legal codes and regulations - Jurisdiction-specific requirements - Citation to actual legal sources - Comparison-ready format **Example Use Case:** ``` User Query: "What are the legal requirements for contracts in Australia?" Expected Output: - Legal requirement: "Australian Consumer Law requires..." - Regulation: "ACL Section 18 - Misleading or deceptive conduct" - Citation: "Competition and Consumer Act 2010 (Cth)" - Comparison points: "Termination notice: 30 days minimum" ``` --- ## External Data Integration ### 4. WIPO Database Connection **Current State:** - External agent simulates database queries using LLM - No real connection to WIPO or other legal databases **Goal:** - **Option A: WIPO API Integration** (Preferred if available) - Research WIPO API availability and endpoints - Implement API client for querying WIPO database - Handle authentication and rate limiting - Parse and structure API responses - **Option B: Scraped Database** (Fallback if no API) - Build a local database of WIPO legal requirements - Scrape and structure data from WIPO website - Implement search functionality for legal requirements - Keep database updated with periodic refreshes **Requirements:** - Query by jurisdiction (e.g., "Australia", "Italy") - Query by legal topic (e.g., "contract termination", "data protection") - Return structured, citable legal information - Support comparison with internal contract documents **Implementation Priority:** 1. Research WIPO API availability 2. If API exists: Implement API client 3. If no API: Design and implement scraped database 4. Create search/query interface for external agent 5. Format responses for comparison with internal agent output --- ## Prompt Engineering ### 5. Improved Prompts for Contract Analysis **Current State:** - Generic prompts that work but don't optimize for contract analysis - Limited guidance on extracting specific legal elements - Comparison synthesis could be more structured **Goal:** - **Internal Agent Prompts**: - Focus on extracting specific contract elements (clauses, terms, dates) - Request exact quotes with citations - Structure output for easy comparison - Handle multi-document scenarios - **External Agent Prompts**: - Optimize for legal database queries - Request structured legal requirement extraction - Include jurisdiction and regulation citations - Format for comparison with contracts - **Orchestrator Prompts**: - Better query splitting for contract-specific questions - Improved document matching logic - Enhanced comparison synthesis - More accurate agent selection - **Synthesis Prompts**: - Structured comparison format - Side-by-side analysis of contract vs. legal requirements - Actionable recommendations - Risk identification and mitigation suggestions **Example Improved Prompt Structure:** ``` For Internal Agent: "Extract the following from the provided contract: 1. Termination clauses (exact quotes with section numbers) 2. Jurisdiction and governing law 3. Key dates and deadlines 4. Party obligations 5. Dispute resolution mechanisms Format as structured JSON for comparison." For External Agent: "Query WIPO database for: 1. Legal requirements for [jurisdiction] 2. Specific regulations related to [topic] 3. Compliance standards 4. Citation sources Format as structured JSON matching internal agent structure." ``` --- ## Performance Optimizations ### 6. Additional Performance Improvements **Current State:** - Sequential agent execution - No caching of frequently accessed documents - No optimization for repeated queries **Future Goals:** - **Caching Layer**: Cache frequently accessed document text and legal requirements - **Query Optimization**: Identify and reuse similar queries - **Response Streaming**: Stream responses as they're generated (already discussed, deferred) - **Database Indexing**: If using scraped database, implement efficient search indexing --- ## Implementation Roadmap ### Phase 1: Foundation (High Priority) 1. ✅ LLM Provider Switching (Completed) 2. ✅ Document Upload & Management (Completed) 3. ⏳ LangGraph Integration for Parallel Processing 4. ⏳ WIPO API Research & Integration ### Phase 2: Agent Enhancement (High Priority) 1. ⏳ Internal Agent: Contract parsing and citation 2. ⏳ External Agent: WIPO connection and legal data extraction 3. ⏳ Prompt engineering for contract analysis ### Phase 3: Comparison & Analysis (Medium Priority) 1. ⏳ Structured comparison output 2. ⏳ Risk identification 3. ⏳ Actionable recommendations ### Phase 4: Optimization (Lower Priority) 1. ⏳ Caching layer 2. ⏳ Query optimization 3. ⏳ Performance monitoring --- ## Success Metrics ### Performance - **Response Time**: Reduce from 50-80s to 20-40s with parallel processing - **Accuracy**: 90%+ accurate contract clause extraction - **Citation Quality**: 100% of extracted clauses include source references ### Functionality - **WIPO Integration**: Successfully query and retrieve legal requirements - **Comparison Quality**: Side-by-side analysis of contracts vs. legal requirements - **User Satisfaction**: Clear, actionable recommendations --- ## Notes for Contributors ### Getting Started 1. Review current architecture in `WORKFLOW.md` 2. Understand agent structure in `backend/agents/` 3. Review orchestrator logic in `backend/orchestrator/orchestrator.py` ### Key Files to Modify - **Orchestrator**: `backend/orchestrator/orchestrator.py` - **Internal Agent**: `backend/agents/internal_agent.py` - **External Agent**: `backend/agents/external_agent.py` - **Prompts**: Located in agent files and orchestrator ### Testing - Test with sample contracts (Italy-111.pdf, Australia-111.pdf, etc.) - Verify accurate clause extraction - Test WIPO integration with real queries - Validate comparison output quality --- ## Questions & Research Needed 1. **WIPO API**: Does WIPO provide a public API? What are the endpoints and authentication requirements? 2. **Legal Database Alternatives**: Are there other legal/compliance databases we should consider? 3. **LangGraph**: Best practices for implementing parallel agent execution? 4. **Contract Parsing**: Are there existing libraries for contract clause extraction we should leverage? --- **Last Updated**: November 2024 **Status**: Planning Phase - Ready for Implementation