iManage: Context Beats the Model — Knowledge Maturity Predicts Revenue Growth
iManage published a sponsored column in Lawyers Weekly Australia (July 28) making the operational case for knowledge as governed infrastructure: firms at the highest level of knowledge maturity are nearly twice as likely to report year-over-year revenue growth as those at the lowest level. The core argument is that competitive advantage in the AI era is not which model a firm licenses — most firms
BY FRONTIER DESK · AUGUST 3, 2026 · 1 MIN READ
iManage published a sponsored column in Lawyers Weekly Australia (July 28) making the operational case for knowledge as governed infrastructure: firms at the highest level of knowledge maturity are nearly twice as likely to report year-over-year revenue growth as those at the lowest level. The core argument is that competitive advantage in the AI era is not which model a firm licenses — most firms can access Copilot, Harvey, Legora, or Claude — but what the model is allowed to know. An AI assistant given stale or unrepresentative documents produces answers that sound just as confident as answers based on the firm's best work; only one is right. Allens (Australia) is cited as using curated knowledge collections to underpin its AI strategy across the firm. For KM directors, the framing is significant: the same curation work that existed before AI — selecting precedents worth trusting, tagging them, keeping them current — now determines whether a firm's AI outputs are trustworthy or merely plausible-sounding. KM has moved from support function to competitive differentiator.