It’s Not What Technology Can Do for Your Review. It’s What People Can Do with Your Technology.
A successful document review rests on the Project Managers and Document Reviewers ability to guide today’s algorithmic technology to optimize efficiencies, deploy best practices, solve business problems and deliver superior results – regardless of the technology platform.
Our Team is Well Versed in Leading Document Review Platforms
Our eDiscovery professionals are highly efficient in the use of the leading TAR software and AI Technologies. Their expertise can bring cost and time advantages to your document review project, regardless of your platform.
We Provide Continued Professional Training and Certification
Our partnership with ACEDS, along with our eDiscovery Essentials and eDiscovery Bootcamp programs ensure our teams are constantly informed on best practices in preparation and review procedures. Reviewers earn certifications as Administrator, Analytics Specialist and User. Project Managers earn PMP and CEDS certification. team members are also certified in Six Sigma.
Our People Make the Difference.
Document review projects should be successful on many levels: cost management, document management, tracking, scheduling and deadlines. Our team members have the software knowledge and provide the experience to ensure your project is a success on all levels.
1.65 Million Documents
11 Issues Coded
65% Cost Reduction
Patent Infringement Case Study – The Project Challenge
An AmLaw 100 law firm retained Hire Counsel to handle a review project for a patent infringement case, which presented several key challenges:
- Production deadline 1 month away
- 65 million documents to review
- Coded for 11 issues plus privilege
The short timeline necessitated a sizeable review team proficient in eDiscovery technology, and our client’s fixed budget made accurate and reliable projects estimates essential.
People Make the Difference
In collaboration with our client, and using their desired technology platform, our Project Management team estimated the project scope and run rate. Drawing on experience from previous projects, the team incorporated the efficiency gains of analytics and machine learning into their project proposal.
We provided a cost for the review, that was 65 percent lower than the client had expected.
Our Project Management Team applied advanced analytics to generate targeted batches of documents to launch the review. As documents were coded and the eDiscovery team became more familiar with the case, the software’s continuous machine learning refined the batches, regularly suggesting documents that were likely to be relevant for review. Our Review Managers further applied machine learning to help QC and verify coding consistency across the team.
Key Team Results
This combination of advanced analytics, machine learning and careful project management produced highly targeted results.
- Enabled accurate predictions for project scope, timeline and budget
- Reduced the volume of documents for review by more than 50% by using advanced analytics
- Uncovered crucial evidence early in the case by leveraging continuous machine learning