To fully harness the power of digital evidence in discovery, legal teams must start to think of the evidence as data, not documents. Here’s why. The nature of evidence has undergone a seismic shift over the past few decades. A world that was once dominated by paper-based records, physical files,
Legal teams today face unprecedented challenges in managing and analyzing vast amounts of electronic data during litigation and investigations. With civil cases rarely going to trial and eDiscovery costs skyrocketing alongside growing data volumes, the need for effective Early Case Assessment (ECA) has never been more critical and more strategic.
In the high-stakes world of litigation, attorneys are constantly tasked with the meticulous dissection of opposing arguments. Instead of accepting the opposition’s stance wholesale, cohort analysis offers an innovative approach to break down the legal argument, uncover weak spots, and craft a clear, data-supported defense. By utilizing this analytical tool,
Database Discovery is an extension to the traditional e-discovery approach using enterprise business data as a source of insight. Rather than limit yourself to documents, emails, and text messages in your discovery practice, you can add transactional data from enterprise systems like Salesforce, Oracle, SAP, Concur, and more. Read on
Traditionally, the term “Data Warehouse” conjures up images of heavy IT investments in infrastructure and tools that may make sense for running your business, but are difficult to justify for the legal team. And for companies that do have a centralized data warehouse in place, the needs of the legal
Database Discovery is an extension to the traditional e-discovery approach using enterprise business data as a source of insight. Rather than limit yourself to documents, emails, and text messages in your discovery practice, you can add transactional data from enterprise systems like Salesforce, Oracle, SAP, Concur, and more. Read on
