MCP-Enabled IP Patent Analysis System
Law firms are increasingly leveraging generative AI for complex legal tasks like IP and patent analysis. This challenge focuses on building a sophisticated multi-agent system that can analyze patent documents, identify potential infringements, rule out flimsy filings, and summarize key legal aspects. The system will integrate with a simulated proprietary legal database using MCP and employ cutting-edge reasoning techniques to ensure accuracy and relevance. Participants will design an agentic workflow capable of cross-referencing legal texts, extracting critical clauses, and generating structured reports suitable for legal professionals. The solution requires an MCP-enabled agent team using AutoGen for collaborative legal research. Agents will interact to perform patent claim analysis, prior art searches, and infringement risk assessment. Emphasis is placed on robust RAG over a specialized legal corpus, leveraging Claude Opus 4.5's extended context window and reasoning capabilities, along with DSPy for optimizing LLM interactions and ensuring high-quality, factual outputs.
What you are building
The core problem, expected build, and operating context for this challenge.
Build an MCP-enabled multi-agent system using AutoGen and Claude Opus 4.5 for IP patent analysis, integrating with proprietary legal databases via MCP.
How work is evaluated
The evaluation will assess the multi-agent system's ability to accurately analyze patent documents, identify potential infringements, and generate coherent legal summaries. It will focus on factual correctness, relevance to the prompt, and proper use of MCP tool integration for data access.
Challenge datasets
Public datasets, plus the private datasets you have access to.
What you should walk away with
Integrate external proprietary data sources using MCP tool integration.
Evaluate agent performance and output quality for factual accuracy and legal relevance.
Design and implement a multi-agent system for complex legal analysis.
Optimize LLM prompts and reasoning paths using DSPy.
Perform advanced RAG over specialized, large-scale document corpuses.
Reference links and supporting material
Sample data for 2 tasks
Challenge setup
The evaluation will assess the multi-agent system's ability to accurately analyze patent documents, identify potential infringements, and generate coherent legal summaries. It will focus on factual correctness, releva...
Challenge input
{'patent_text': 'string', 'product_description': 'string'}
Agent execution
No agent tool is listed for this challenge.
Evaluated output
{'infringement_likelihood': 'high|medium|low', 'cited_claims': ['string'], 'analysis_summary': 'string', 'mcp_tool_calls': ['list of tool calls']}
- Output is valid JSON and matches schema.
- At least one MCP tool call is detected and relevant to the task.
- For infringement analysis, relevant claims or evidence from the patent are cited.
- FactualAccuracy target: 0.9
- Python execution harness
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
No tool records are attached.
Evaluation contract
- Output is valid JSON and matches schema.
- At least one MCP tool call is detected and relevant to the task.
- For infringement analysis, relevant claims or evidence from the patent are cited.
- Analysis does not introduce factually incorrect information (manual spot check).
Metrics
- FactualAccuracy · Target 0.9
- RelevanceScore · Target 0.85
- Completeness · Target 0.8
Workflow tasks
- Task 1
Input: {'patent_text': 'string', 'product_description': 'string'}
Output: {'infringement_likelihood': 'high|medium|low', 'cited_claims': ['string'], 'analysis_summary': 'string', 'mcp_tool_calls': ['list of tool calls']}
Execution harness: Python
- Task 2
Input: {'invention_description': 'string'}
Output: {'prior_art_summary': 'string', 'relevant_patents': ['list of patent IDs or titles'], 'mcp_tool_calls': ['list of tool calls']}
Execution harness: Python
Recipe freeze marker
No recipe freeze time is recorded.