!-- Google Tag Manager -->
A large healthcare client was looking for a new ways to increase their overall speed and lower their ediscovery-related costs. Additionally, they were looking for true price transparency and more control over their matters. When the client approached the Lighthouse team about ways they could achieve these key goals, we suggested Spectra, our self-service, on-demand ediscovery tool paired with a transparent subscription-based pricing model.
The client agreed to the solution and especially liked that they could manage their own cases while still having access to their full-time project management team at Lighthouse if they needed, all for one predictable price.
The client in this particular case was already fairly fluent in Relativity so our teams began the Spectra onboarding process with tailored trainings around the clients use case for Brianspace, the analytics engine available inside the platform, as well as a training covering the front-end of Spectra itself. Once the client was comfortable within Spectra, a process that only took a few short trainings, our team worked to ensure all custom permissions and views were set up, as well as other client-specific Relativity requirements. Due to the simple interface of Spectra and the client’s deep knowledge of Relativity and analytics, the onboarding process was completed in a matter of weeks.
The client then immediately started leveraging Spectra to process as much data as they wanted and then run search terms as needed on a variety of diverse case types such as, labor and employment cases, internal investigations, and OIG requests. Our team partnered with the client to create a custom Relativity template for their team to use in Spectra that would apply their standard coding pallets, rule-based coding propagations, pre-baked saved searches, standard views/layouts, imaging profiles, and more to drive additional efficiency so that the client would not have to reinvent the wheel with each new matter as well as ensure consistency across their portfolio. Additionally, we assisted in building a continuous multi-model learning (CMML) workflow for their team to leverage within Spectra so that they could prioritize the review of the documents most likely to be responsive, as well as minimize the number of documents that go to review to save additional cost. Both of these enhancements, allowed the client to increase their overall speed from collection to production while lowering their overall ediscovery-related costs, just as they had been looking for.
By using Spectra’s searching and analytics capabilities, the client has reduced the volume of natives to just 4.5% of the total hosted volume and minimized the count of documents being reviewed by 95% since they started using the tool. Through this new workflow and process the client has achieved both defensibility and affordability, something that is not easy to do within this industry, as well as reduced time to review from days to hours, resulting in $500K in savings in their first year with Spectra.
By moving to Spectra, the client now has more control over their ediscovery, transparent and predictable pricing, more efficient workflows, and, most importantly, significant cost savings.
For 25 years, Lighthouse has provided innovative software and services to manage the increasingly complex landscape of enterprise data for compliance and legal teams. Lighthouse leads by developing proprietary technology that integrates with industry-leading third-party software, automating workflows, and creating an easy-to-use, end-to-end platform. Lighthouse also delivers unique proprietary applications and advisory services that are highly valuable for large, complex matters, and a new SaaS platform designed for in-house teams. Whether reacting to incidents like litigation or governmental investigations, or designing programs to proactively minimize the potential for future incidents, Lighthouse partners with multinational industry leaders, top global law firms, and the world’s leading software provider as a channel partner.