Multi-Agent Content Rights Auditor
This challenge involves building an agentic system for automated content rights auditing. Participants will design a multi-agent team using Langroid, where agents specialize in legal text analysis, content provenance research, and copyright infringement detection. Claude Opus 4.5, known for its advanced reasoning and nuanced text understanding, will power the legal and analytical agents. The system will leverage LlamaIndex for advanced RAG across simulated legal and content databases, and integrate web crawling tools (e.g., Firecrawl via MCP) to assess potential external infringements.
AI Research & Mentorship
What you are building
The core problem, expected build, and operating context for this challenge.
This challenge involves building an agentic system for automated content rights auditing. Participants will design a multi-agent team using Langroid, where agents specialize in legal text analysis, content provenance research, and copyright infringement detection. Claude Opus 4.5, known for its advanced reasoning and nuanced text understanding, will power the legal and analytical agents. The system will leverage LlamaIndex for advanced RAG across simulated legal and content databases, and integrate web crawling tools (e.g., Firecrawl via MCP) to assess potential external infringements.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
What you should walk away with
Master Langroid for orchestrating role-based multi-agent teams, including defining agent personas (e.g., Legal Analyst, Content Provenance Investigator, Compliance Officer) and inter-agent communication protocols.
Implement advanced RAG patterns using LlamaIndex, including hybrid retrieval, multi-query RAG, and query transformations, to search across vast simulated legal documents and content databases.
Leverage Claude Opus 4.5's superior contextual understanding and reasoning for complex tasks such as interpreting copyright law, identifying fair use cases, and detecting subtle forms of textual infringement.
Design MCP-enabled tool integration to incorporate web crawling services like Firecrawl, allowing agents to fetch and analyze publicly available content for comparison against internal assets.
Develop agents capable of generating detailed content provenance reports, infringement likelihood assessments, and compliance recommendations.
Build a persistent memory system for agents to retain context over long auditing processes, improving efficiency and consistency.
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Operating window
Key dates and the organization behind this challenge.
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