Co-Pilot
Overview
Co-Pilot is an intelligent assistant that enables legal and medical professionals to efficiently analyze medical records using a natural language question-and-answer interface. Instead of manually searching through hundreds of pages, users can simply ask questions such as “What medications has the patient been prescribed?” or “Summarize the key diagnoses in this document,” and receive instant, context-aware responses. This dramatically reduces the time spent on research and ensures that attorneys and medical professionals can focus on critical decision-making rather than document navigation.
Outside of the legal sector, this Co-Pilot can be used in customer service AI chatbots, enterprise knowledge management, research assistance, and healthcare to provide instant responses based on document repositories. In hospitals, it can help physicians retrieve critical patient history and treatment recommendations instantly.
Features:
Key features and capabilities
AI-driven question-answering system for medical records – Provides instant, context-aware answers.
Retrieval of case-specific insights from extracted data – Offers precise information based on medical history and treatments.
Context-aware responses for legal and medical professionals – Ensures nuanced understanding of queries.
Seamless integration with MedInsights – Works across various document processing workflows.
Multi-language support – Enables accessibility across different regions.
Applications:
List Real-world examples
Quick insights for personal injury and mass tort cases
AI-driven legal research and document analysis
Real-time Q&A on extracted medical data
Customer support AI chatbots in healthcare and finance
Enterprise document search and knowledge management
Research assistant for academic and corporate R&D
Physician support for medical history retrieval
Problem Statement
Medical and legal professionals often need to sift through vast amounts of medical records to extract critical information. Traditional search methods are inefficient, requiring extensive manual effort to locate relevant details, leading to delays in decision-making.
Our Approach
Our AI-powered Co-Pilot allows users to interact with medical records using natural language queries, retrieving case-specific insights instantly. Leveraging advanced LLM models, vector search, and structured data extraction, the Co-Pilot provides context-aware responses, eliminating the need for manual document navigation.
Tech Stack Used
Front End
Angular
Back End
.NET
Database
PostgreSQL
The tools used
- LangGraph (for Co-Pilot workflow orchestration)
- LangSmith (for conversation flow management)
- Pinecone (vector search for document retrieval)
- Anthropic Claude Haiku Model (Extraction)
- Anthropic Claude Sonnet Model (Summary/Report Creation)
- AWS S3 (Document Storage)
- AWS Lambda (Serverless Processing)