Targeted legislative text extraction and highlighting tool

Classification systems

Italy - Senate

Use case ID: 041

Author: Senate of Italy

Date: 12 June 2024 
 

Objective:

Automatically extract and highlight specific portions of legislative texts or documents that meet given criteria, such as references to implementing provisions or expenditure forecasts, in order to support legal analysis and decision-making.

Actors:

  • Parliamentary staff members
  • MPs
  • Legislative drafters
  • Artificial intelligence (AI) development and support team

Prerequisites:

  • Access to a comprehensive dataset of legislative texts
  • Predefined criteria for extraction (e.g. references to implementing provisions or expenditure forecasts)
  • Pre-trained language models specialized in legal text analysis
  • Integration with parliamentary document management systems

Scenario:

  1. A parliamentary staff member uploads a legislative document to the system.
  2. The staff member chooses the criteria for extraction, such as references to implementing provisions or expenditure forecasts.
  3. The AI system processes the document using natural language processing (NLP) techniques.
  4. The AI system identifies and highlights/extracts the portions of the text that meet the specified criteria.
  5. The highlighted/extracted document is reviewed by the staff member for accuracy.
  6. MPs and other authorized users can search and retrieve documents based on the highlighted/extracted sections, facilitating quicker access to relevant information.

Alternate flows:

  • If the uploaded document format is not supported, the system prompts the user to convert the document into a supported format.
  • In case of ambiguity or low-confidence extractions, the system flags these instances for manual review and correction by the staff member.

Expected results:

  • Accuracy and speed in identifying relevant portions of legislative texts are enhanced.
  • Searchability and retrieval of critical information within documents are improved.
  • Manual workload for researchers and drafters is reduced.
  • MPs make better-informed decisions through quick access to pertinent information.

Potential challenges:

  • Ensuring the AI system accurately identifies and highlights/extracts relevant portions in complex legal language
  • Handling variations and updates in legal terminologies and references
  • Integrating the AI system seamlessly with existing document management systems

Data requirements:

  • Historical legislative documents for model training
  • Annotations of relevant portions for supervised learning
  • Continual updates of legal texts and terminologies to refine the model

Integrations with other systems:

  • Parliamentary document management system
  • Legal databases for cross-referencing
  • User authentication and access control systems

Success metrics:

  • Accuracy rate of extraction and highlighting of relevant portions
  • Reduction in time taken for researchers to identify relevant sections
  • Increase in the number of successful searches for highlighted portions
  • User satisfaction scores from parliamentary staff and researchers

 

The Use cases for AI in parliaments collection is published by the IPU’s Centre for Innovation in Parliament as part of the Parliamentary Data Science Hub’s project to create guidelines for AI governance in parliaments.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International licence. It may be freely shared and reused with acknowledgement of the author and the IPU. 

A use case describes how a system should work. It is used to plan, develop and measure implementation. A use case is not the same as a case study, which is a descriptive text of an actual project’s implementation. Please note that this use case is provided “as is” and neither the IPU nor the author accepts any responsibility for its use.

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