Case Study

Using AI to Reduce Privilege Review During an HSR Second Request

Using AI to Reduce Privilege Review During an HSR Second Request

A global law firm handling an HSR Second Request was left with nearly 90K documents flagged by standard privilege terms, creating a massive review burden. Lighthouse applied its proprietary AI to train on fewer than 2K documents and then score and categorize the full set. This enabled the removal of more than 20K non-privileged documents from eyes-on review, saving over 400 attorney hours and $25K in costs. Attorneys focused only on high-likelihood privilege documents, completing review 5 to 10 days faster. The AI-driven process delivered nuanced, defensible results that met production deadlines with efficiency and accuracy.

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