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The role of in-house counsel in Japan has evolved significantly over for the past few years as the reluctance to embrace the concept of in-house legal departments has changed — largely out of necessity.

Many legal professionals are proficiently familiar with the discovery portion of matters since this work, which involves collecting and managing hundreds of gigabytes, sometimes terabytes, of data, can be quite arduous and require tight collaborative support from highly organized eDiscovery specialists. In comparison, however, the equally critical process of preparing for trial that lawyers manage upon filing a case is not as universally known to the eDiscovery community since these tasks and workflows are typically administered and overseen by different legal case teams.

This is an opinion piece by FRONTEO data scientist in response to the article “US and EU New Guidelines and Views on AI” published on October 20th.

There is seemingly no limit to the applications for Artificial Intelligence and to the great expectations (or potential threats) that many tech and business leaders have predicted for its applications. In July of 2021 Google CEO Sundar Pinchai reiterated his belief that the effects and use of AI will be more profound on the history of humanity than fire or electricity, and Tesla founder Elon Musk has warned that AI could lead to the next world war. Nuclear fission is a common comparison among commentators, both in AI’s potential uses and potential dangers.

Global businesses have witnessed an unprecedented scale of cyberattacks in the past year making it increasingly challenging for security teams to react.

Privilege logs are a critical component of eDiscovery that requires careful planning, analysis and detail in order to successfully complete. This process can be costly and time-consuming as specific requirements tend to vary by jurisdiction and on a case-by-case basis. As such, in this blog we would like to provide a brief overview of the privilege log process, discuss various privilege log types used today, and review how existing technologies can be leveraged to achieve efficiencies when constructing a privilege log.

Emoji usage has grown significantly over the past few years since emoji characters provide people with the ability to express themselves in a clear and efficient way. These small, emotive characters—from ☂️to 😂 to 🤷 – represent the first language borne of the digital world that was originally designed to add emotional nuance to otherwise flat text.

In this blog, we will discuss a few key challenges associated with handling audio and video files, cover best practices, and provide an overview of currently available solutions to help overcome nuances with these unstructured data types.