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Non-disclosure agreements (NDAs) are often treated as routine paperwork — until they start slowing down deals, frustrating teams, or creating hidden operational costs. As companies scale, many turn to AI-driven NDA processing solutions to "increase efficiency". But not all solutions deliver the speed, accuracy, or business alignment they promise. If your business is relying heavily on AI-powered technology for NDA reviews, it may be time to evaluate whether your current appro

Artificial intelligence has rapidly become a trusted assistant in everything from drafting emails to analyzing complex datasets. It’s no surprise, then, that businesses are starting to explore AI powered solutions for legal contract negotiations. This offering is particularly alluring for high volume documents such as NDAs. On the surface, this seems efficient—faster turnaround, lower costs, and fewer billable hours. But beneath that convenience lies a set of risks that are e

Market data from NDAs reviewed by my team over the past few quarters show a continued tightening and standardization of NDA terms across middle-market M&A transactions. My latest analytics reveal several clear directional trends shaping how parties manage confidentiality, information flow, and non-solicitation protections throughout their deal process. Greater Convergence Around Core Confidentiality Terms Confidentiality periods have become more uniform. Now, 90% of NDAs revi