Teams are built with an optimal number of reviewers and skill set combinations. Our metrics-driven approach to talent allows us to select individual team members on the basis of their document review skills and match them to a predetermined set of project criteria, which can include:
- Subject matter knowledge
- Special language fluency
- Precise industry experience
- Familiarity with the client’s review platform
- And more
Nexem Legal has thousands of talented and battle-tested individuals in every geographic location.
Our rigorous process of screening and evaluating candidates ensures that each hire is proven and tested before deployment.
such as scoping the initial collection deNIST processes, keyword search, date search, and deduplication, are used initially to cull the document set.
such as near duplicate identification, email threading, clustering, and concept searching are used to assess the relevant documents.
is then implemented in conjunction with traditional workflows to provide you with a deeper understanding of the makeup of the review population. Each document is scored to indicate which are likely responsive or not, privileged or hot.
The process of measuring how text categorization is performing, provides both useful benchmark information as well as insights into where supplemental analytics may be useful to inform review decisions.
can be made using intelligence gained about the review population to: further organize and prioritize review, enhance quality control, further reduce the review population, and allocate resources more efficiently.