  Though technology assisted review in electronic discovery has been focusing
on text data, the need of advanced analytics to facilitate reviewing multimedia
content is on the rise. In this paper, we present several applications of deep
learning in computer vision to Technology Assisted Review of image data in
legal industry. These applications include image classification, image
clustering, and object detection. We use transfer learning techniques to
leverage established pretrained models for feature extraction and fine tuning.
These applications are first of their kind in the legal industry for image
document review. We demonstrate effectiveness of these applications with
solving real world business challenges.
