Co-authored by Alison Shier and Brooks Thompson
Director, Spectra and MSTSS Solutions
Brooks is an ediscovery professional with over a decade of experience in the industry holding roles in account and project management as well as a leader of client and product teams. He specializes in designing and implementing cost-efficient, automated ediscovery workflows and products for enterprise clients. In his current role, Brooks directs Spectra support, marketing, development, pricing, and sales in the US and EU. Brooks has a B.A. from the University of Washington.
How to Bring eDiscovery In House from Seasoned Self-Service Adopters
The Truth Behind Self-Service Pricing in eDiscovery
eDiscovery pricing has always been nuanced and inconsistent across vendors and technology providers, making it difficult for law firms and corporations alike to compare and contrast options. So, it is no big surprise that this same challenge exists across self-service ediscovery tools and software as well, making it extremely challenging to model out an apples-to-apples comparison across solutions. This inability to accurately compare costs across different platforms leaves you and your team in the dark when it comes to choosing the right tool...
Overcoming Top Objections for Moving to a Self-Service eDiscovery Model
In a world of ever-increasing and evolving self-service models (think Amazon Go, fast food self-order kiosks, or even the self-service check in and check out at hotels), it’s no wonder the ediscovery industry is headed in the same direction. In the last few years, new and improved SaaS ediscovery tools have exploded onto the scene as corporations and law firms have started to embrace a self-service approach for executing the discovery work associated with both internal investigations and proper legal matters.
Building a Business Case for Upgrading Your eDiscovery Self-Service Practices in Six Simple Steps
Self-service models are becoming increasingly more popular within the ediscovery space. The ability to easily manage matters using in house teams, not only saves time and money, but it also allows companies to scale and maintain control in the ever-growing data landscape we live in today, without having to make the investment in infrastructure or additional headcount. It is no wonder so many firms and corporations are making the shift to a technology on-demand model and upgrading their internal processes.