LAWrgMin

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Argumentation Mining Tool for Lawyers

LAWrgMin 최신버젼 다운로드

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# LAWrgMin
_Argumentation Mining in the field of Law_

## Time is Money

Case law plays an important role in legal argumentation and decision-making, especially in countries with legal systems
using common law [1]. Lawyers need to dig into documents of past judicial decisions (precedents) and identify previous
decisions supporting their side in the legal dispute and undermining the other. The analysis of these documents requires
skill and a lot of time:
Cases are expressed in natural language, consider highly complex matters under dispute, and have complex
inter-relationships while the number of documents is constantly growing. Moreover, navigating the documents,
interpreting, and applying the results successfully needs extensive training. These factors can furthermore lead to
extensive costs of legal proceedings because of additional working hours and high fees of lawyers (skill premium).

## LAWrgMiner

### A Tool for Lawyers

This is where the LAWrgMiner comes into play. LAWrgMiner, a neural network trained on the ECHR dataset [2], aims to extract
natural language arguments from legal documents. It allows lawyers to extract arguments from an unstructured legal
proceeding and presents them in an easily understandable and structured way. While they normally must invest hours into
manually searching through and annotating case law, LAWrgMiner reduces the time invested from searching for multiple
hours to presenting claims and premises within the uploaded source in a couple of minutes.

### The LAWrgMiner brings several advantages

- Simple upload
- Extraction of claims and premises with a built-in keyword search 
- Supporting legal professionals in their daily activities
- Can save a lot of working hours and, therefore, costs of legal proceedings

[![LAWrgMiner Demo Video](https://raw.githubusercontent.com/jluech/LAWrgMin/master/resources/LAWrgMin_demo_thumbnail.png)](https://youtu.be/jMBn2o9aRXI "LAWrgMiner Demo Video")

## References

[1]: Milward, D., Mochales, R., Moens, M. & Wyner, A. (2010). Approaches to Text Mining Arguments from Legal Cases. Semantic Processing of Legal Texts.\
[2]: A legal corpus made for the purpose of argument mining. See: Poudyal, P., Savelka, J., Ieven, A., Moens, M., Gonçalves, T., & Quaresma, P. (2020).
ECHR: Legal Corpus for Argument Mining. Proceedings of the 7th Workshop on Argument Mining, 67–75.

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