AI for Corporate-Based Reviews

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.