Months, not minutes.
A rigorous systematic review can take the better part of a year. Most of it is mechanical: find, screen, extract, tabulate.
01The problem
The field's most important knowledge is locked in prose.
The journals that decide business-school careers — the UTD 24
— hold decades of findings. To synthesize them, a scholar still reads hundreds
of PDFs by hand, one at a time, and rebuilds the same comparison table everyone
before them built.
↓The cost, today
months minutes
A rigorous systematic review runs the better part of a year — most of it mechanical: find · screen · extract · tabulate, one PDF at a time. Yajur does the mechanical part in minutes.
Closed and fragmented.
The corpus is paywalled across publishers, with no structured, cross-journal way to ask theory × method × result questions.
Confidently wrong tools.
General AI summarizers hallucinate citations and smear detail. For this audience, one fabricated finding ends the trust — permanently.
→Why now
The capability finally exists. The rigor mostly doesn't.
Language models can now read full text at scale. The hard part was never generation — it's being right, and checkable. That's the problem worth solving, and the one everyone else is skipping.