Extraction and marking of legal references

Bill drafting and amendments

Italy - Senate

Use case ID: 027

Author: Senate of Italy

Date: 12 June 2024 

Objective: 

Automatically extract and mark legal references within parliamentary documents, improving the accuracy and efficiency of legal research and documentation, and allowing users to easily access related documents.

Actors: 

  • Senate legal researchers and analysts
  • Senate IT and web development team
  • Users of the Senate website (citizens, researchers and journalists)

Prerequisites: 

  • Existing database of parliamentary documents
  • Trained artificial intelligence (AI) model for extracting legal references
  • Markup language or tagging system for highlighting references in documents
  • Internet accessibility for users

Scenario: 

  1. The user accesses a parliamentary document on the Senate website.
  2. The user initiates the extraction process by clicking a button or issuing a command.
  3. The AI model processes the document to identify and extract legal references (e.g. citations of laws, articles and/or regulations).
  4. The extracted references are marked within the document using a predefined markup language or tags.
  5. The system provides all identified legal references.
  6. The user can click on marked references to view additional details or related documents.

Alternate flows: 

  • For documents with a high density of references, the system may offer segmented processing to improve accuracy.

Expected results: 

  • Accuracy and efficiency in identifying legal references within parliamentary documents are improved.
  • The usability of parliamentary documents for legal researchers and analysts is enhanced.
  • The time and effort required for manual extraction and marking of references is reduced.
  • Reliability and consistency in legal documentation are increased.

Potential challenges: 

  • Ensuring the AI model can accurately identify diverse legal references across different types of documents
  • Handling documents with complex legal language or formatting

Data requirements: 

  • Historical documents with annotated legal references for training and improving the AI model
  • Current database of parliamentary documents and legal texts

Integrations with other systems: 

  • Existing Senate website infrastructure
  • AI processing systems and models
  • Markup language or tagging system for highlighting references

Success metrics: 

  • Accuracy rate of extracted legal references
  • User satisfaction ratings and feedback
  • Reduction in time spent on manual reference extraction and marking
  • Consistency and reliability of marked references across different documents
  • Reduced frequency of calls to the help-desk service for incorrect references

 

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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