AI Automation for Immigration Law

Immigration law is document warfare. A single EB-5 petition can involve hundreds of source documents — bank statements, payslips, corporate records, affidavits — that must each be classified, described, ordered into an exhibit list, and woven into a source-of-funds narrative that survives USCIS scrutiny. An H-1B premium processing case lives or dies by a 15-business-day federal clock. Lanos Logic built a US immigration firm an AI-native case management platform for exactly this: AI document intelligence that classifies and describes every uploaded exhibit, smart intake forms that collect what each track actually requires, AI-assisted drafting, USCIS PDF autofill, and a deadline engine with federal-holiday-aware premium processing countdowns and automated alerts.

The platform covers 13 visa tracks and now runs two offices — the firm was founded in Washington and expanded by acquiring a Detroit practice, and both operate on the same system. It was built as a direct alternative to ManifestOS, Visalaw.ai, and Docketwise, because the firm wanted the case model to match how it actually works rather than bending its practice around a product roadmap it does not control. That is the real argument for building rather than buying in immigration: the software encodes your intake questions, your exhibit conventions, your deadline rules, and your quality bar, and it changes when your practice changes.

For immigration lawyers weighing this, the honest framing is that a platform build is a larger commitment than wiring up an off-the-shelf tool, and it pays back where volume and document complexity are high — petition-heavy practices, multi-office firms, and anyone whose associates are spending their days describing exhibits rather than arguing cases. We start with a free discovery call and a BPMN map of how a matter moves through your firm from consultation to filing, quote a fixed price before any build, and can scope it as a focused automation (intake, exhibit handling, or deadlines alone) rather than a full platform if that is the right first step.