Case Study: AmLaw 10 Firm achieves faster, more accurate merger review with Text IQ

How AI Solved the Challenge of Merger Review For an AmLaw 10 Firm

An AmLaw 10 Firm faced a major challenge managing privilege review and redaction for merger “second request” responses, which involve reviewing millions of documents under intense time and cost pressure. The firm needed a better way to handle privilege identification beyond traditional manual review and predictive coding, which was not well suited to the contextual nature of privilege.

Text IQ provided its AI-powered legal solution for privilege review and auto-redaction, using its Social Linguistic Hypergraph to understand context, relationships, and company language without a seed set. With Text IQ, the firm improved accuracy and consistency, reduced risk and exposure of sensitive data, and sped up second-pass review; the case study also notes reductions in time and cost, along with a reason report to support privilege logs.