Drive down costs and improve efficiency across the eDiscovery lifecycle
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68%
of legal and compliance leaders are struggling to manage their current workload and 50% go over budget to get fast turnaround
Impact business and achieve better results.
Reduce document review costs and outside counsel spend with advanced technology, machine learning and expert services.
Rapidly evaluate case merits and develop case strategy by getting to the facts faster.
Spend less time on eDiscovery logistics and eyes-on document review with analytics, machine learning, automation, repeatable workflows and centralized processes.
Protect and secure personal, sensitive and confidential data with capabilities such as automated detection and redaction and automated quality control.
Deploy technology based on the IT environment, on-premises, cloud or hybrid, and rapidly scale to manage spikes in caseload.
Leverage support services, such as collections, forensics, managed document review and investigations support, to free up internal resources to focus on case merits.
Data scattered across disparate systems, vendors and law firms makes eDiscovery processes complex, time-consuming, expensive and risky. Centralize eDiscovery data and documents in a single system to lower manual effort and costs and improve security.
Reviewers are often added to meet tight deadlines, resulting in more coding inconsistencies, errors and risk from inadvertent document exposure. Limit human touch with automation and a lean managed review team that optimizes accuracy and efficiency.
Data and work products are often dispositioned at case end, even for matters involving the same documents. Treating repetitive litigation as one-offs limits reuse, multiplies work and increases costs. Centralize data and processes for easy reuse.
Regulatory or government inquiries, such as an HSR Second Requests, require organizations to collect, review and produce documents, diverting employees from priorities. Rapidly respond to requests and mitigate non-compliance risks, including fines.
When eDiscovery involves disparate tools and teams it is difficult to detect and protect sensitive data, respond to SRRs and satisfy localization laws. Keep data secure with RegEx pattern detection, analytics, machine learning and workflow expertise.
See how customers are succeeding with eDiscovery.
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