What is the latest words or phrase being used in eDiscovery? Artificial Intelligence, Predictive coding. and TAR! With so much talk about it, why aren’t more law firms and attorneys using it? When you have technology available that cuts the production or review of clients data/documents by 1/2 the time at a minimum, why in the heck wouldn’t you use it? Tar and Machine Learning are at the top of what is predictive coding and the usage of technology. Now there are vendors out there that are using some sort of A.I. using methods like:
- Simple Active Learning (SAL):
- Continuous Active Learning (CAL):
- Scalable Continuous Active Learning (S-CAL):
- Hybrid – (What Aurora is considered)
In regards to the question, “Is one better than the other” we would have to say Yes, just like all A.I. is not built the same way, the process of Machine Learning also differs. Because its not the same, some are faster at processing, have better recall and precision rates, having a better or higher precision rate is huge. Nonetheless, even if it isn’t ours, we would honestly prefer all attorneys and law firms to be using some sort of TAR instead of the manual review. Its better for your clients, period. It is never hungry, mad, tired, bored or in a hurry to be somewhere else, it leaves emotions out of the equation and simply put, does it’s job! So it isn’t jaded, and persuaded by emotions when it seeks and brings forth documents for you to review.
Give us a call so we can explain what the difference is between our system and the others that are out there, and watch a live demo on Modeling instead of Term Searching. We promise you will see what all our clients saw and pretty sure you’ll want to try it out for yourselves!
Are you ready for a Demo?