highlight · part 0 · 1

Turning documents into data.

Read documents. Produce structured data. The task is everywhere — and the demand is growing.

PubMed's count of systematic reviews, roughly 20% growth per year.
One example: PubMed's systematic-review count, ~20% growth per year. source: PubMed "Systematic Review" filter
130 per day
indexed
~20% annual
growth
1,000+ hours
per review
6–18 months
typical

Skilled human readers screen, extract, and code — double-coded to catch disagreement. Same labor, same bottleneck, across domains:

Legal discoveryprivilege, responsiveness
Chart reviewdiagnostic codes
Interview codingrecurring themes
Patent examinationclaims, citations
FOIA investigationactors, dates, actions
Historical archivespeople, places, events

The reader has always been human. What if the reader could be AI?

@karlrohe
Read documents. Produce structured data. datamint.ing/learn/highlights/reading-at-scale