How a Series B Fintech's Legal Team Scaled Without Adding Headcount
Contract volume tripled after a Series B growth round. The legal team stayed at three people. Here is how they kept up without making a single hire.
The Context
A Series B fintech company had just closed a growth round and was scaling partnerships aggressively. The legal team, three people, was suddenly responsible for reviewing vendor agreements, data processing addendums, and partnership contracts at a volume that had roughly tripled in six months.
The team had two options: hire, or find a way to do more with what they had. Hiring takes time. The contracts could not wait.
The Deployment
The company's General Counsel deployed Praxa within a week of evaluating it. The priority was speed, not perfection. They uploaded their core playbook covering the contract types they were seeing most frequently, liability, data handling, SLA terms, and payment structures, and began processing immediately.
Within two weeks, every incoming contract was being pre-reviewed before it reached a lawyer. The team's job on each agreement shifted from reading to decision-making.
The Numbers
Contract volume handled per month increased from roughly 35 agreements to over 90 with no change in headcount. Average time per agreement dropped from 2.5 hours to 40 minutes. The legal team went from being a bottleneck in the deal process to being a same-week turnaround operation.
The General Counsel noted one outcome that was not anticipated: their standard positions held more consistently. Before Praxa, under time pressure, the team would sometimes accept terms they would normally push back on. With Praxa flagging every deviation, the pressure to accept substandard terms decreased because the review overhead decreased first.
The Broader Point
Scaling a legal team without scaling headcount is not about working harder. It is about removing the low-judgment work that consumes high-judgment time. Praxa is a tool for that specific problem, and the fintech context, high contract volume, tight timelines, constrained resource, is where that value shows up most clearly.
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