technology Archives - ComplexDiscovery

Implications for eDiscovery? The 2019 Internet Trends Report from Mary Meeker

Want to understand the most valuable tech stats and trends? Legendary venture capitalist Mary Meeker has just released the 2019 version of her famous Internet Trends report. This year it covers everything from Internet growth and usage to customer acquisition costs in highly competitive and capitalized sectors. With 334 pages of content, charts, and comments, the report is essential reading for data discovery and legal discovery technologists as they focus on auditing, investigating, and supporting litigation across the lifecycle of digital data.

June 12, 2019
2 minute read

Blockchain and Digital Evidence Sharing, Security, and Verification

It is challenging for existing digital evidence recording and storage technologies to outperform blockchain’s robust and secure offering. With this in mind, the Digital Forensics and Incident Response (DFIR) community may benefit greatly as blockchain technology speeds up digital evidence procedures and redefines digital investigation processes.

June 10, 2019
2 minute read

A Brave New World? A New Blockchain Browser is Resetting the Boundaries for Online Privacy and Advertising

Brave is an open-source, privacy-centered browser designed to block trackers and malware. It leverages blockchain technology to anonymously and track user attention securely and rewards publishers accordingly. And it may change the way you think about online privacy and advertising.

May 30, 2019
3 minute read

A New Tool for Data and Legal Discovery? AWS Announces General Availability of Amazon Textract

Released for general availability by AWS, Amazon Textract is a fully managed service that uses machine learning to automatically extract text and data, including from tables and forms, in virtually any document without the need for manual review, custom code, or machine learning experience.

May 30, 2019
7 minute read

Considering eDiscovery Providers? Competencies, Attributes, and Distribution Frameworks

Understanding that a provider’s organizational character is made up of more than capabilities, it seems reasonable that a common set of descriptive elements for competency, attributes, and distribution frameworks might be beneficial for the provider comparison process.

Objectifying the Subjective: Evaluating eDiscovery Vendor Viability

This updated article highlights one approach to evaluating the selection of eDiscovery vendors that may help decision makers by providing an objective framework useful for the competitive comparison and contrasting of subjective evaluation elements. While the components and ratings used in the approach may be adjusted and weighted based on the experiences and preference of evaluators, the framework is beneficial for ensuring a holistic evaluation process for determining vendor viability.

Drunks, DNA and Data Transfer Risk in eDiscovery

Just as there are many tasks in electronic discovery, many times there are multiple technologies and platforms involved in the complete electronic discovery process. When there are multiple technologies and platforms involved, data must be transferred from disparate technologies and platforms to other disparate technologies and platforms. This data transfer can be considered a risk factor that impacts the overall electronic discovery process.

Considering eDiscovery Review? Task, Spend, and Cost Data Points

Based on the complexity of data and legal discovery, it is a continual challenge to understand the relationships, opportunities, and costs of specific eDiscovery tasks. With this challenge in mind and to provide information and context to discussions around the eDiscovery task of review, the following review-centric task, spend, and cost data points may be beneficial to legal, business, and IT professionals considering the economics of eDiscovery.

Considering eDiscovery Processing? Task, Spend, and Cost Data Points

Based on the complexity of data and legal discovery, it is a continual challenge to understand the relationships, opportunities, and costs of specific eDiscovery tasks. With this challenge in mind and to provide information and context to discussions around the eDiscovery task of processing, the following processing-centric task, spend, and cost data points may be beneficial to legal, business, and IT professionals considering the economics of eDiscovery.

Considering eDiscovery Collection? Task, Spend, and Cost Data Points

Based on the complexity of data and legal discovery, it is a continual challenge to understand the relationships, opportunities, and costs of specific eDiscovery tasks. With this challenge in mind and to provide information and context to discussions around the eDiscovery task of collection, the following collection-centric task, spend, and cost data points may be beneficial to legal, business, and IT professionals considering the economics of eDiscovery.

TAR vs. Keyword Search Challenge, Round 6 (Instant Feedback)

Even with a large pool of participants, ample time, and the ability to hone search queries based on instant feedback, nobody was able to generate a better production than Technology-Assisted Review (TAR) when the same amount of review effort was expended. It seems fair to say that keyword search often requires twice as much document review to achieve a production that is as good as what you would get TAR.

Actively Learning? Predictive Coding Technologies and Protocols Survey – Spring 2019 Results

The Predictive Coding Technologies and Protocols Survey is a non-scientific survey designed to help provide a general understanding of the use of predictive coding technologies, protocols, and workflows by data discovery and legal discovery professionals within the eDiscovery ecosystem.