On April 3, 2019, Susan Wortzman hosted a panel discussion on data and privacy risk management and cybersecurity.  The panel included experts from the public and private sector. Members of cybersecurity incident response teams, the Office of the Information and Privacy Commissioner of Ontario, and information governance experts talked about how organizations can successfully manage the data and privacy issues confronting their businesses.
 
Kevin Lo from Froese Forensic shared interesting statistics: 42% of small to medium sized businesses fell victim to ransomware in the last 12 months; 35% of them paid the ransom, and 1 in 5 of them were not able to recover their data; even after the demands of the cyber criminals were met.
 
A common theme among the panel was the importance of hiring experienced counsel as soon as a cybersecurity incident occurs to mitigate the legal risk. The panel also emphasized that “regardless of the type of cyber attack, planning and practicing are the top preventative measures organizations can take”.
 
Organizations know that protecting its data is a top priority; however, walls can and will be breached. When this occurs, having an information governance and cybersecurity response plan in place will minimize the damage and help address the demand from the public for disclosure and remediation. It may even keep you out of the headlines.

On March 22, 2019, MT>3 attended the Women in eDiscovery event, “A Discussion with Kira Systems” presented by Sondra Rebenchuk.  This informative session centered on using AI for corporate-based reviews.   

​Corporate-based reviews expand over a wide-range of areas, including due diligence, compliance, lease abstraction and financial reviews.  This work differs from litigation-based reviews in many aspects including:  context classification versus document classification; every document is critical versus key documents to support a case; review framework is consistent across different files versus different parameters for each new litigation matter.  Given these differences, an alternate approach using new tools must be used for corporate-based reviews.
 
Traditional corporate-based reviews are lengthy and are vulnerable to high error rates notwithstanding they involve many repetitive documents containing the similar information. AI tools are well equipped to solve these issues.
 
Although AI tools for corporate-based are still developing, many important benefits have been identified.  By using AI technology, reviews can be up to 90% faster than traditional low-tech corporate-based review, and have greater accuracy, flexibility and efficiency.   By utilizing AI in corporate-based review tools, there will be an increase in productivity, which frees up time for law firms to explore better ways to serve their clients.
 
MT>3 has been actively using AI on corporate- based reviews for the past two years.  Please contact MT>3, a division of McCarthy Tétrault LLP for more information regarding our Corporate Review Services.  

​The legal technology startups weren’t letting anything keep them away from Legaltech New York this year. Despite blizzards, arctic cold temperatures, hundreds of flight delays and cancellations, the legal tech startups not only showed up, but they made their presence known.
 
MT>3 spent two days at Legaltech meeting with some of the brightest minds in the industry who are breaking new ground with their innovative legal technologies. Both the new and lesser known legal tech companies wowed us with their leading-edge technology solutions and roadmaps for the future. These technologies are solving the e-Discovery, investigation and data governance issues that have plagued the industry for years, as well as solving problems we didn’t even know existed.
 
MT>3 is excited about implementing some of these new and ground-breaking solutions to bring the world of e-Discovery, investigations and data governance to a whole new level.