How Artificial Intelligence is Disrupting the Dealmaking
In our article for Thomson Reuters Westlaw, Eric Chow and I discuss how artificial intelligence and machine learning are affecting the mergers and acquisitions process, as well as what issues may arise with the use of this emerging technology. Here's how AI and ML are reshaping M&A:
Due Diligence: The capabilities of AI tools like Robotic Process Automation (RPA) allow for data analysis to be streamlined and quick flagging of things for review. This makes due diligence faster and more precise.
Contract Analysis: New tools are emerging such as Kira Systems that can accelerate contract review and identify red flags. This saves time and money, and mitigates potential risks.
Target Identification: AI tools can combine vast amounts of data to pinpoint patterns that humans may not recognize, which enhances the identification of potential targets.
Valuation: Predictive modeling techniques are able to analyze historical data and market trends for more accurate valuations, which helps avoid risks down the line.
While AI has remarkable advantages in the dealmaking landscape, it's important to balance its capabilities with human involvement. This way, concerns about data privacy, regulatory compliance, and the need for human judgment can be addressed.
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