Agree To Disagree

TL;DR

This paper presents a machine learning approach to automatically parse and summarize legal terms and conditions, making them more accessible and understandable for users who often skip reading them.

Contribution

It introduces a novel machine learning method for extracting and summarizing key information from lengthy legal documents to improve user comprehension.

Findings

Effective automatic parsing of legal texts

Summarization of critical legal information

Enhanced user understanding of terms and conditions

Abstract

How frequently do individuals thoroughly review terms and conditions before proceeding to register for a service, install software, or access a website? The majority of internet users do not engage in this practice. This trend is not surprising, given that terms and conditions typically consist of lengthy documents replete with intricate legal terminology and convoluted sentences. In this paper, we introduce a Machine Learning-powered approach designed to automatically parse and summarize critical information in a user-friendly manner. This technology focuses on distilling the pertinent details that users should contemplate before committing to an agreement.