Many small and mid-sized law firms approach to eDiscovery consists of cobbling together legacy tools instead of embracing cutting edge eDiscovery and legal technologies like RelativityOne.

This approach is understandable. Ten years ago, when many firms first tool a look at their eDiscovery practices, eDiscovery was a new and expensive concept. Attorneys could in most cases get by through creating PDFs or scanning documents, and judges and opposing counsel typically accepted it without compliant.

Dear reader,

Artificial Intelligence (AI) has been the shiny object in the legal space for the past 12 months or so. If you are like me, it’s all you have been seeing on legal website headlines and across LinkedIn.

As a vendor that helps attorneys prepare for litigation during the eDiscovery phase, we've seen firsthand how the collection of short message data, such as text messages and social media, has become increasingly important. In fact, short message data is now one of the most common types of electronically stored information (ESI) collected in eDiscovery.

As a lawyer representing clients in insurance coverage litigation, I've seen firsthand the unique challenges and opportunities that eDiscovery presents. With the increasing volume and complexity of electronic data, it's more important than ever for insurers and law firms to have a robust eDiscovery strategy in place.

"Is it PROteus? ProTEEus? Pro-TAY-us? What is that? What does it mean?"

When my partners and I were preparing to launch Proteus in 2015, I wanted a name that carried multiple layers of meaning, including a nod to the type of work we do (apply advanced technology to the tradition-bound legal industry) and homage to our hometown (Indianapolis).