How the math works
Two numbers decide it: how much each SOW costs you to produce, and how many you produce.
Savings per SOW = hours saved per SOW x loaded author rate
Break-even volume = total year-1 fixed cost / savings per SOW
Year-1 net = (savings per SOW x your volume) - fixed cost The inputs above are illustrative, not a benchmark. The default $54,000 fixed cost, $220 loaded rate, and 2.5 hours saved produce a break-even near 98 SOWs, but that number is only what those three assumptions produce. Change any one and it moves. The point is to run it with your own figures before you sit through a vendor demo.
Why cost-per-SOW matters more than volume
Per-SOW software cost falls as you spread the license over more documents, but per-SOW time savings stays roughly flat. So the expensive thing is the hours per SOW, not the count. Raise hours saved from 2.5 to 4 and break-even drops sharply, because each SOW you stop hand-building is worth more. That is why a team writing a handful of difficult, senior-heavy contracts can justify software that a team writing many light ones cannot. For the full argument and the four diagnostics, see When SOW Software Pays for Itself.
Where an AI-enabled system changes the line
Classic SOW software shrinks drafting time on repeatable language. A system that drafts a Scope of Work from the project requirements and pulls contact details from the CRM raises hours saved per SOW further, which is what pushes break-even down on bespoke work that traditional template tools never helped. See how Servantium handles it.