# Empirical Study of Deep Learning for Text Classification in Legal Document Review

arXiv: https://arxiv.org/abs/1904.01723 · HTML: https://mlsanity.com/paper/1904.01723/

## Key facts

- Cited by 11 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Apr 2019.

## Built on by (most cited first, 11 of 11)

- [Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges](https://mlsanity.com/paper/2410.21306/) (2024)
- [Natural Language Instructions for Intuitive Human Interaction with Robotic Assistants in Field Construction Work](https://mlsanity.com/paper/2307.04195/) (2023)
- [Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions](https://mlsanity.com/paper/2110.00078/) (2021)
- [Towards the Exploitation of LLM-based Chatbot for Providing Legal Support to Palestinian Cooperatives](https://mlsanity.com/paper/2306.05827/) (2023)
- [Explain To Decide: A Human-Centric Review on the Role of Explainable Artificial Intelligence in AI-assisted Decision Making](https://mlsanity.com/paper/2312.11507/) (2023)
- [CHANCERY: Evaluating Corporate Governance Reasoning Capabilities in Language Models](https://mlsanity.com/paper/2506.04636/) (2025)
- [Judgement Citation Retrieval using Contextual Similarity](https://mlsanity.com/paper/2406.01609/) (2024)
- [Use Image Clustering to Facilitate Technology Assisted Review](https://mlsanity.com/paper/2112.08604/) (2021)
- [Automatic Detection of Industry Sectors in Legal Articles Using Machine Learning Approaches](https://mlsanity.com/paper/2303.05387/) (2023)
- [The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violence](https://mlsanity.com/paper/2305.05302/) (2023)
- [Comparison of Machine Learning Models to Classify Documents on Digital Development](https://mlsanity.com/paper/2510.00720/) (2025)

## Abstract (arXiv)

Predictive coding has been widely used in legal matters to find relevant or privileged documents in large sets of electronically stored information. It saves the time and cost significantly. Logistic Regression (LR) and Support Vector Machines (SVM) are two popular machine learning algorithms used in predictive coding. Recently, deep learning received a lot of attentions in many industries. This paper reports our preliminary studies in using deep learning in legal document review. Specifically, we conducted experiments to compare deep learning results with results obtained using a SVM algorithm on the four datasets of real legal matters. Our results showed that CNN performed better with larger volume of training dataset and should be a fit method in the text classification in legal industry.