Data Analysis, NLP

Automate the case review on legal case documents

Automation on Legal Court Cases Review

This project is to automate the case review on legal case documents and find the most critical cases using network analysis.

Project Information:

Keywords: Automation, PDF parse, String Extraction, Network Analysis

Software:

  • Python : pdfminer, LexNLP, nltk sklearn
  • R: igraph

Scope:

  1. Parse court documents, extract citations from raw text.
  2. Build citation network, identify important cases in the network.
  3. Extract judge’s opinion text and meta information including opinion author, court, decision.
  4. Model training to predict court decision based on opinion text.

Polit Study on 159 Legal Court Documents (in pilot_159 folder)

1. Process PDF documents using Python

 

 

 

To finish reading, please visit source site

Ipython Notebook Description
1.Extraction by LexNLP.ipynb Extract meta inforation use LexNLP package.
2.Layer Analysis on Sigle File. ipynb