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One consistent message that seems to resonate from legislature to legislature across the world is the recognition of the fact that data - especially personal data - is both a weapon and a vulnerability, and in the quickly-evolving digital landscape of today the task of safeguarding it effectively becomes more and more difficult. The Australian legislature seeks to update its current privacy laws, which are based on both the original 1988 Privacy Act, and its later update from 2000, to reflect the rapid technological advancements that took place in the early 21st century in data collection, data storage and data analysis.

Organizations in Japan, and generally across Asia Pacific (APAC), have experienced a sharp increase in eDiscovery related work over the past several years due to a rise in cross-border litigations and investigations. It is more critical now than ever before to take stock of important considerations when evaluating and partnering with service providers that will guide and support your eDiscovery needs.

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.

Technology Assisted Review (often shortened to TAR) has been making inroads in most major litigation markets. The progress hasn't been as speedy as some would have liked, perhaps, but law is a cautious and conservative field and even technological advancements that promise to herald a new era of efficiency in legal discovery and document review must wait until sufficient precedent has been accumulated by those daring justices and judges who are willing to give technology a chance.

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.

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.

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.

On April 4, the DOJ Antitrust Division announced an update to their leniency policy and issued a revised set of frequently asked questions (FAQ).