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Home › Forums › Mergers & Acquisitions › How is AI changing/helping your M&A work?
With all the exponential growth in adoption of AI tools and Large Language Models I am keen to hear the actual and potential uses of AI in supporting M&A work.
Here are four areas which AI is currently being used/tested in supporting M&A work:
1. Due Diligence: As a super powered search tool in VDRs to find all documents covering a specific topic quickly
2. Target Identification: Lead generation and identifying potential acquisition targets by analyzing market trends, financial performance, and strategic fit criteria
3. Document Review and Drafting: Summarizing long legal documents and pulling relevant terms and key points into concise reports
4. Valuation: Supplementing spreadsheet modelling with regards to market comps and probabilistic modelling
How are you using AI? Where do you see its biggest potential value in M&A?
With all the exponential growth in adoption of AI tools and Large Language Models I am keen to hear the actual and potential uses of AI in supporting M&A work.
Some areas which AI is currently being used/tested in supporting M&A work:
1. Due Diligence: As a super powered search tool in VDRs to find all documents covering a specific topic quickly
2. Target Identification: Lead generation and identifying potential acquisition targets by analyzing market trends, financial performance, and strategic fit criteria
3. Document Review and Drafting: Summarizing long legal documents and pulling relevant terms and key points into concise reports
4. Valuation: Supplementing spreadsheet modelling with regards to market comps and probabilistic modelling
How are you using AI? Where do you see its biggest potential value in M&A?
I certainly think AI can help you more quickly run spreadsheet evaluations or scan large documents, as low hanging fruit, for key terms. I’d guess it would be especially helpful during very early target evaluation vs. during detailed due diligence. AI can also serve as a decent gut check on cost estimations – shouldn’t be relied upon wholly of course but can be a good additional data point.
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