Implementation guide
Automate Immigration Filings
Detailed training workflow for Automate Immigration Filings in Legal & Compliance.
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Guided walkthrough
Problem: Immigration filings require extreme precision — a single error can cause months of delay. Case Assessment AI evaluates eligibility across visa categories (H-1B, L-1, O-1, EB-2/EB-3) based on the employee profile. Document Assembly AI generates the required forms and supporting evidence checklist for the selected category. Evidence mapping AI cross-references project roles with visa requirements to draft the 'Statement of Work' letter.
Advanced implementation notes
Global Mobility & Immigration Intelligence Visa Category Optimization AI evaluates the employee's profile against ALL eligible visa categories: H-1B (specialty occupation), L-1A/B (intracompany transfer), O-1A/B (extraordinary ability), TN (USMCA), E-2 (treaty investor), and EB-1/EB-2/EB-3 (green card). Recommends the optimal path based on processing time, approval probability, and long-term immigration strategy. Prevailing Wage Analysis AI determines the correct prevailing wage level (1-4) for H-1B and PERM applications based on job duties (not just
title), work location, and DOL OFLC database. Improper wage levels are the #1 cause of H-1B denials. Evidence Package Assembly AI generates a customized evidence checklist per visa type. For O-1: identifies publications, awards, memberships, and evidence of 'extraordinary ability'. For H-1B: drafts the specialty occupation analysis letter proving the role requires a bachelor's degree in a specific field. RFE Predictor & Prevention Based on USCIS denial/RFE trend data, AI predicts likely Requests for Evidence before filing and pre-addresses them in the
initial submission. Current top RFE triggers: specialty occupation proof, wage level justification, and employer-employee relationship for staffing companies. Global Compliance Tracker For international assignments: AI tracks work permit validity periods, entry stamp requirements, tax equalization obligations, social security totalization agreements, and 183-day permanent establishment risks across all jurisdictions. Start green card processing (PERM) immediately upon H-1B filing — the green card backlog for India-born nationals is 50+ years, and early
action is critical. Use AI to draft employer support letters that precisely match USCIS adjudicator expectations — format, content structure, and evidence presentation significantly affect outcomes. Track H-1B cap registration deadlines (March annually) and have all documentation pre-assembled so filing can occur the day selection notification arrives. Don't assign a Level 1 prevailing wage to a Senior Engineer — USCIS increasingly denies H-1Bs where the wage level doesn't match the described job complexity. Don't overlook the employee's long-term goals
— recommending H-1B when the employee ultimately wants a green card may waste 3 years if L-1A offers a faster EB-1C path. Don't forget to track status expiration dates — allowing an employee to fall out of status, even briefly, can bar them from re-entry and require consular processing abroad. The 'Immigration Strategy Map' For each international employee, AI generates a multi-year 'Immigration Strategy Map' showing the optimal visa sequence: initial status → extension → green card filing → priority date movement projection → adjustment of status. This
strategic roadmap turns reactive firefighting into proactive planning and significantly improves employee retention — foreign nationals listed retention as their #1 concern after compensation.