AI-powered parliamentary bill and document chatbot for enhanced legislative analysis
Chatbots and user support
Bahrain - Council of Representatives
Use case ID: 061
Author: Council of Representatives of Bahrain
Date: 6 October 2024
Objective:
Develop an AI-powered chatbot to provide real-time access to all parliamentary bills and documents, improving the process of bill formation and analysis by providing quick answers, summaries and relevant documents on request for MPs, staff and researchers.
Actors:
- MPs
- Parliamentary staff members
- Legislative drafters
- Researchers
- AI development and support team
Prerequisites:
- Comprehensive database of all parliamentary bills and documents
- Pre-trained natural language processing (NLP) models specialized in legal and parliamentary text
- Integration with the parliament’s document management system
- Defined intents and queries that the chatbot will handle (e.g. bill summaries, amendment details, cross-referencing documents)
Scenario:
- An MP or staff member initiates a conversation with the chatbot via the parliament’s internal system or a web/mobile interface.
- The user asks the chatbot questions such as “What are the key points of bill X?” or “Show me all amendments made to bill Y”.
- The chatbot processes the query using NLP to understand the intent and retrieves relevant information from the parliamentary bills and documents database.
- The chatbot responds with concise, summarized answers, relevant sections from documents, or direct links to full bills and amendments.
- The user can follow up with more specific queries such as “List the provisions related to environmental regulations in bill Z” or “Which MPs proposed amendments to bill A?”.
- The chatbot allows users to download reports, summaries or full documents for further analysis.
- If the query involves complex analysis or document cross-referencing, the chatbot provides the user with a detailed summary or suggests other related documents to consult.
- The system logs all interactions for analysis and continuous improvement, learning from user queries to better address future questions.
Alternate flows:
- If the chatbot does not understand a query, it prompts the user to rephrase the question or offers suggested queries based on the context.
- If a document is missing or outdated, the chatbot flags the issue and provides contact information for the parliamentary document team.
Expected results:
- Faster, more efficient access to bills and parliamentary documents for MPs and staff
- Improved accuracy in retrieving relevant information for bill formation and analysis
- Less time spent manually searching for documents, allowing MPs and staff to focus on legislative work
- Enhanced transparency and collaboration through easy access to all parliamentary documents
Potential challenges:
- Ensuring the chatbot understands complex or ambiguous legal language and parliamentary terminology
- Keeping the chatbot’s database up to date with newly introduced bills, amendments and legislative documents
- Addressing variations in how different MPs and staff phrase their queries
- Integrating with existing systems while maintaining data security and privacy
Data requirements:
- Full database of parliamentary bills, amendments and related documents
- Metadata tagging for each document (e.g. date, proposer, subject matter)
- Pre-trained NLP models for bill formation and analysis, including legal terminology
- Real-time updates to bills and documents as new legislation is introduced
Integrations with other systems:
- Parliamentary document management system
- User authentication and access control systems
- Search and retrieval systems for bills and documents
Success metrics:
- Chatbot response accuracy rate for queries related to bills and documents
- Reduction in the time taken by users to retrieve key information
- Increase in the number of successful bill queries and document downloads
- User satisfaction scores from MPs, staff and researchers
- Number of follow-up queries and engagement with the chatbot over time