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This project is an AI-powered Employment Law and HR Compliance platform designed to transform complex, unstructured legal information into clear, decision-ready insights for HR teams. It reduces dependency on manual legal research while improving speed, accuracy, and regulatory awareness across regions.
The platform uses a unified ETL pipeline to continuously ingest data from government portals, regulatory bodies, and labor law sources. A multi-agent RAG architecture processes and retrieves the most relevant legal context, ensuring responses stay current with new amendments and policy changes.
All insights are delivered through an AI compliance assistant and dashboards that allow non-legal users to ask natural-language questions, understand obligations, identify risks, and compare regulations across jurisdictions with confidence.
Built an enterprise-grade AI Compliance Platform that automates employment law research, interpretation, and compliance decision-making for HR teams.
Unified ETL & Legal Intelligence Layer
Continuous ingestion of employment law data from government and regulatory sources
Cleans, normalizes, and structures laws, jurisdictions, dates, and obligations
Supports scheduled and event-driven updates
Multi-Agent RAG Architecture
Specialized retrieval agents for legal search, recent updates, structured queries, and policy comparison
Intelligent routing with parallel agent execution
Ensures high relevance and minimal hallucination
AI Compliance & Decision Engine
Natural-language HR and compliance queries
Explainable answers with legal grounding and risk indicators
Designed for non-legal users
Delivery Layer
Chat interface and dashboards for HR teams
Jurisdiction-based insights and compliance change tracking
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