Intraspexion’s one-minute demo video

This demo video of our UI screens was scripted and voiced by co-founder Larry W. Bridgesmith, Adjunct Professor of Law at Vanderbilt Law School. Copyright 2017 Intraspexion Inc. All rights reserved.

Intraspexion offers a limited number of free pilot projects. For corporate legal departments Only.

To qualify for a free pilot project, your company must have experienced (and recently settled) one or more employment discrimination lawsuits from a now-closed case which lasted long enough for your company to have produced emails in .pst format to the plaintiff, and you must confirm to us that the emails you produced contained risky or even “smoking gun” emails.

For the pilot, we'll send you computers to use "on premises" for up to 15 days, so you can test Intraspexion’s “deep learning” system by uploading the emails from that now-closed case as if they were a batch of yesterday's emails.

Step 1. Our system will either surface those risky or smoking gun emails (among others) as high scoring results, or not.

Step 2. If you see risky emails, then just compare the dates on those emails with the date the now-closed lawsuit was filed.

Step 3. Ask yourself: Would you have had 10 days, 2 weeks or 3 months to investigate and proactively mitigate the litigation risk and so avoid the lawsuit altogether? 

Step 4. Then ask us about pricing and terms. 

Deep Learning and

Jagannath Rajagopal is Intraspexion's Chief Data Scientist. He is also the creator/producer of the DeepLearning.TV channel on From November 23, 2015 to July 4, 2017, here's the data about Jag's Deep Learning channel, which currently offers 31 episodes with average durations of approximately 5 minutes each:

41,855 subscribers • 1,631,305 views

How to find Open In the search box, type "". That's it.

Jag's description of his channel follows:

"DeepLearning.TV is all about Deep Learning, the field of study that teaches machines to perceive the world. Starting with a series that simplifies Deep Learning, the channel features topics such as How To's, reviews of software libraries and applications, and interviews with key individuals in the field. Through a series of concept videos showcasing the intuition behind every Deep Learning method, we will show you that Deep Learning is actually simpler than you think. Our goal is to improve your understanding of the topic so that you can better utilize Deep Learning in your own projects. We hope to provide a window into the cutting edge of Deep Learning and bring you up to speed on what's currently happening in the field."