iOS app development cost for legal & professional services

There is no single figure, and quoting one would be the least useful thing this page could do — the same pairing spans several-fold depending on scope, compliance and how many surfaces you ship. What this page gives you instead is what the pairing demands: the regimes that may apply, the systems of record you will be asked to integrate with, the device matrix and the release path. The calculator below is already fixed to iOS and legal & professional services — answer what is left and it returns a cost range, hours, timeline, team and running costs for your scope.

Because legal & professional services brings its own obligations before you write a feature: SOC 2 Type II, Professional confidentiality rules, GDPR may apply, you will be asked to integrate with systems like DocuSign / Dropbox Sign and iManage / NetDocuments / SharePoint, and there are typically 5 distinct roles rather than one. The platform contributes its own separate costs — the device matrix, App Store review — and those are independent of the industry.

Slightly, and almost entirely because of testing. The engineering itself is comparable, but iOS has a handful of screen sizes and two or three OS versions in play, versus 20–30 meaningful Android configurations. That difference is typically 30–50 hours per release cycle. Against that, iOS adds App Review as a schedule dependency and a $99 annual account, and requires Mac hardware to build on.

Budget one to four days per submission and expect at least one rejection on a first release. The common causes are predictable and worth designing around up front: no in-app account deletion, offering third-party sign-in without Sign in with Apple, unclear subscription pricing, and privacy labels that do not match actual data collection. Each round trip costs a day or two, so a first submission three days before a launch date is a real risk.

Yes, and clients increasingly expect it, but the professional liability changes the engineering. Every AI output needs source attribution, a human review step and an audit record of who accepted what. Retrieval over the firm’s own documents rather than open-ended generation is the pattern that works. Budget $50,000–$120,000 for a properly grounded, evaluated implementation — most of that in retrieval quality and evaluation rather than the model call.

It is a planning estimate, not a quote. The band shown is roughly plus or minus 15–20% for a well-defined scope, and wider while requirements are still moving. It is built from engineering hours per discipline, converted at our blended delivery rate, so the hours are directly comparable to a real proposal line by line — but a firm price needs a technical specification, which is the step after budgeting.