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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.

2021 has been a record year for legal tech: $1.4 billion was invested by venture capital firms in the first half of the year, which is more than in the entirety of 2020, and well above what was raised in 2018 and 2019. Leading the investment boom are startups like RocketLawyer (which provides legal services to individuals and small businesses), Verbit (voice transcription for the legal sector), Notarize (digital notarization), and Clio (cloud based CRM).

Messaging apps have become a ubiquitous form of communication, with billions of users worldwide. They have changed the way we communicate and share information with others in our personal lives and business, such that employees now routinely use messaging apps to conduct business. As the use of messaging apps has grown, so too has the need to collect data from these apps in a forensically sound manner from corporate-managed systems, as well as mobile devices for legal or investigatory reasons.

October is the 18th Annual National Cybersecurity Awareness Month in the United States. It is sponsored by the Cybersecurity and Infrastructure Security Agency and the National Cyber Security Alliance. This year’s theme is “Do Your Part. #BeCyberSmart.” Being Cyber Smart includes awareness of current threats like business email compromise (BEC), phishing, ransomware, and supply chain compromise.

Global technology competition has grown fierce recently requiring nations to consider and enact technology protection policies and strategies. In Japan, for example, there was a significant change in 2014 under the Liberal Democratic Party that led to the development and passage of the Economic Security Promotion Act in 2022, along with a new National Security Strategy.

Artificial Intelligence is a way of using technology to analyze large amounts of data in much less time than it would take a human user, and to make predictions based on this data that can be helpful for a variety of applications. Deep Blue’s legendary chess match against Kasparov is a classic example of AI and its ability to predict certain outcomes based on data.

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.