TERIS BLOG

Helpful Tips To Improve Your Information Governance Plan

By Josh Markarian | November 29, 2018

Streamlined, comprehensive information governance is one of the most critical tools for businesses to master. In today’s era of Big Data, managing everything from old records to last month’s data transactions to the most recent social media posts is not only possible but even expected. Yet, while companies are starting to move more toward recognizing…

Recent Case Law: Takeaways From The 11th Circuit Decision In FTC v. LabMD

By Josh Markarian | November 13, 2018

What does this ruling mean with respect to your company (or your client)? Extract from an article by Tom Kulik There is an adage that has become all too common when dealing with a potential data breach:  it’s not a matter of if, but when. Sad, but ultimately true. When it comes to cybersecurity for your (or…

10 Tips to Improve Your Information Governance Plan

By Josh Markarian | November 11, 2018

Streamlined, comprehensive information governance is one of the most critical tools for businesses to master. In today’s era of Big Data, managing everything from old records to last month’s data transactions to the most recent social media posts is not only possible but even expected. Yet, while companies are starting to move more toward recognizing…

Digital Forensics & Ethics – Part 2

By Josh Markarian | October 24, 2018

Conflict of Interest Under no circumstances should the forensic expert have any kind of emotional investment or monetary reward dependent upon either the outcome of the case, or the impact of their testimony of that outcome. Thus, if fees are involved — where the digital expert is paid for providing a forensic analysis of the…

Digital Forensics & Ethics – Part 1

By Josh Markarian | October 22, 2018

Digital Forensics As a practice and a profession, digital forensics consists essentially of the investigation of criminal activities committed with computers and other digital devices.  Digital forensics has evolved rapidly in recent years, in response to the exceptional capacity of computerized information systems to acquire, store and transmit unprecedented quantities of data anywhere, instantaneously. Regulating…

Tips For Creating an Information Governance Plan

By Josh Markarian | October 15, 2018

Effective Information Governance (IG) is an essential part of conducting business in today’s increasingly digital world. Many corporations are sill working to catch up, and have yet to implement an effective data management policy. The companies who have put policies in place are often struggling to ensure that they’re carried out properly. Developing a solid…

5 Tips for Attorneys & eDiscovery

By Josh Markarian | October 5, 2018

Simply put, in the very near future, knowledge of e-discovery will be essential for an attorney to provide competent representation. In fact, amendments to the Federal Rules of Civil Procedure (FRCP) have already been made to recognize e-discovery as a vital procedure for civil lawsuits. As a result, attorneys should begin to learn best practices…

Data Management for eDiscovery Cost Control

By Josh Markarian | September 14, 2018

Having too much data can be a liability in the event of litigation. The costs to collect and process data for discovery is typically based on size or number of gigabytes, before even getting to costly attorney review hours. Responsibly designed document retention and deletion protocols can shield a company from these spiraling costs. For…

How to Avoid Information Governance Pitfalls

By Josh Markarian | September 4, 2018

Information governance practices must be updated as laws, technologies, and business models change. Here are seven ways to make sure you’re governing your data effectively. Extract from an article by Lisa Morgan Assess Where You Are Developing effective data and information governance policies takes time. It’s an evolving process. Like any other business or IT…

Machine Learning & E-Discovery

By Josh Markarian | August 20, 2018

Machine learning is a type of artificial intelligence which evolved from the study of pattern recognition. Through the construction of algorithms, machines can make predictions on data versus following preprogrammed commands. What’s more, these algorithms can make independent decisions when new data is applied. As computer processing power improves, this technology can be applied to…

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