We have collected all appeal documents from the NY Court of Appeals. For that, we crawled the court website and collected approximately 100,000 documents.
We have then configured the GATE (General Architecture for Text Engineering) tool to extract the information of interest from every document.
Here is the screenshot of GATE screen configured to extract information. It takes a few minutes to extract this information from 100,000 appeal cases, and the output is a CSV file which can be opened as a spreadsheet.
The verify the quality of the information extraction, we watch the statistics. Below is an example of the statistics from one of the latest runs. It shows the percentages of the information being reflected in the case document and successfully extracted by the software.
Files in dir: 111018
Docs processed : 100.0%
Case number: 100.0%
Metadata extracted: 100.0%
Gap days: 92.7%
First date: 92.8%
Appeal date: 100.0%
Other judges present: 98.4%
District attorney: 61.3%
Assistant district attorney: 100.0%
Mode of conviction: 53.9%
Interest of justice: 4.9%
References to cases: 19.9%
Number of output files: 12
Runtime: 2086 seconds
Our verification assured us that the rate of successful extraction (when the information is actually present) is high.
Below is an example screenshot of the information obtained. The output for all documents (25 MB) can be downloaded from here.
Adding this information to eDiscovery
There are two ways how you can add this information to FreeEed.
- The metadata fields can be added to the documents, and FreeEed configured to add them to the review; or
- The GATE workflow can be compiled and run directly within FreeEed.
The configuration of the GATE tool is an acquired skill, but even out-of-the-box extractors provide useful information. This work was done as part of Memex DARPA project, and the researchers found the extracted information extremely useful.
By the way, we provide training in all these technologies.