The summary chapter restates the book’s central arguments. It emphasizes that persistent critiques of disclosure law arise from the poor quality of disclosures rather than from the concept of disclosure itself. The chapter reiterates that traditional measures of disclosure quality, such as document length, readability scores, and reductions in legal jargon, are inadequate because they reflect paper-based assumptions and fail to account for digital conditions. It briefly recalls the franchise disclosure case study under the Federal Trade Commission’s Franchise Rule, which illustrated how existing disclosure regimes remain inaccessible to automated processing, insufficiently machine-readable, and burdened by verbosity. The chapter then summarizes the book’s proposed response, the Tech Disclosure model, which calls for redesigning disclosure infrastructure so that mandated information is digitally accessible, machine-readable, and linguistically clear when evaluated with AI tools.