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Use Image Clustering to Facilitate Technology Assisted Review
During the past decade breakthroughs in GPU hardware and deep neural networks technologies have revolutionized the field of computer vision, making image analytical potentials accessible to a range of real-world applications.
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images
In eDiscovery, it is critical to ensure that each page produced in legal proceedings conforms with the requirements of court or government agency production requests.
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review
For each data set, classification models were trained with different training sample sizes using different learning algorithms.
Image Analytics for Legal Document Review: A Transfer Learning Approach
In this paper, we present several applications of deep learning in computer vision to Technology Assisted Review of image data in legal industry.
Empirical Study of Deep Learning for Text Classification in Legal Document Review
Predictive coding has been widely used in legal matters to find relevant or privileged documents in large sets of electronically stored information.
