Reuse to Reduce: Leveraging Work Product Across Cases

Although Earth Month has come to a close, we want to discuss one way that year-round recycling can bring more “green” to your business – specifically, recycling (or leveraging) past work product for current and future cases.

It’s no secret that the growth of electronic documents, devices and sources has made the discovery process more complicated, costly and time consuming. Many corporations also use multiple law firms, making it nearly impossible to leverage data, decisions and work product across cases.

Let’s say your corporation (or patent company) is involved in approximately 100 lawsuits each year, with the majority of them involving your C-level executives as custodians. Each time a new lawsuit begins, your litigation team or outside counsel needs to collect information from those same individuals, interrupting their workdays and keeping them from more strategic activities. The legal team is also spending their time re-reviewing, making notes about, and tagging documents that had already been reviewed for previous cases (perhaps by a different team or firm).

What if you could instead collect all of an executive’s data (from all of his devices) at one time, code, tag and store the data in a repository so it’s readily available for the next case? Regardless of who is managing the litigation?

You can. And here’s how it works:

As you can see from the visual, the relevant files are cloned and loaded into a new database for each individual case. Since each document is tagged and organized by department, product or custodian, your litigation team is able to pull the same data needed from Case A to Case C without having to recollect it from the custodians. Leveraging work product (such as privilege decisions, responsiveness decisions and production images) from one case to the next cuts the discovery workload (and time) dramatically. Instead of spending time on re-work, you can prioritize the review of any files that weren’t already reviewed for Cases A or B. After Case C is complete, the files are updated and loaded back into the repository – so accurate, up-to-date information is available for the following cases.

The impact of organizing your work product data (and streamlining document review workflows) is immediate and compelling. If a contract reviewer processes an average of 70 documents per hour and your typical case involves 50,000 documents, that translates to a total of 715 hours of document review per case.  At $70 per hour, that’s just over $50,000.  Multiply that by 100 cases and you are spending $5 million on document review each year. By centralizing your data and eliminating the need to review the same documents time and again, you can cut your document review costs by 30% or more, a savings of $1.5 million dollars per year, $15,000 per case.

In addition, there are significant productivity gains at the C-level when executives no longer need to take time from their workdays to repeatedly provide data, emails and documents.

Want to determine the impact that structuring and storing document review data could have on your business? Contact LSI for a complimentary half-hour assessment of your current processes and costs.