A recent case involving one of our clients, a Chinese tech executive applying for an L-1A visa transfer, highlighted the growing impact of USCIS’s adoption of artificial intelligence (AI) in immigration adjudications. Despite a comprehensive petition, the client received an unexpected Request for Evidence (RFE) focusing on organizational structure and managerial duties. This aligns with a broader trend: USCIS increasingly relies on AI-driven tools to analyze petitions, which has led to higher RFE and denial rates, particularly in complex business immigration categories such as L-1 and EB-1C.

Attorney Insight
From our experience handling over 100 L-1 and EB-1C cases in the past year, we have observed that AI systems flag inconsistencies or vague descriptions more aggressively than before. For example, petitions lacking precise SOC codes or detailed organizational charts are often singled out. According to 8 CFR 214.2(l)(1)(ii)(D), clear evidence of qualifying managerial or executive capacity is mandatory for L-1A approval. AI tools scan these elements with heightened scrutiny, increasing the chance of RFEs if documentation is incomplete or ambiguous.
Attorney Insight
We recommend two immediate actions for clients preparing L-1 or EB-1C petitions. First, conduct a thorough internal audit of all supporting evidence before submission, ensuring that organizational charts, job descriptions, and company financials are current and detailed. For instance, specifying roles with accurate SOC codes on Form I-129 (item 14) can prevent automatic AI flags. Second, proactively prepare for potential RFEs by assembling supplementary affidavits or third-party verifications that clarify any potentially ambiguous points. This approach has helped one recent client avoid delays by responding swiftly to an AI-triggered RFE questioning intra-company transfer qualifications.

The use of AI is not limited to L-1 and EB-1C cases. Investment-based applications such as EB-5 are also affected, where AI reviews financial documentation and source of funds with increased rigor. Our EB-5 clients have benefited from early legal reviews of their capital traceability and project documentation to preempt AI-generated queries. We note that the USCIS Policy Manual chapter on Investment Immigration (Volume 6, Part G) emphasizes transparent financial evidence, which AI tools now analyze more systematically.

From a strategic standpoint, we advise our clients to maintain close communication with their immigration counsel during petition drafting and submission. Given the AI-driven environment, minor inconsistencies can trigger RFEs that delay processing by months. For example, last quarter, a fintech executive’s EB-1C petition was initially flagged due to a mismatch between job duties and company size metrics. Early intervention to clarify the company’s global operations and managerial hierarchy led to eventual approval without further delay.

In conclusion, the increasing AI involvement in USCIS adjudications demands heightened attention to petition detail and evidence quality. We suggest clients prioritize comprehensive documentation reviews, leverage professional legal audits before filing, and prepare robust backup materials to address potential RFEs. Staying proactive not only reduces risk but can also shorten overall processing times.

Attorney Insight
This shift in USCIS practices underscores the importance of precision and clarity in business immigration filings. Our firm will continue monitoring AI’s evolving role and update clients accordingly. For now, clients should focus on strengthening their petitions and anticipate more detailed scrutiny.

What does this mean for you? If you are preparing an L-1, EB-1C, or EB-5 petition, start by reviewing your evidence package against USCIS’s requirements, paying special attention to organizational and financial details. Ensure your legal team conducts a pre-filing check to minimize AI-triggered issues. These concrete steps can help you avoid costly RFEs and keep your immigration timeline on track.