Is it risky to use ChatGPT for my O-1, EB-1A, or EB-2 NIW visa application?

AI can organize your documents, but it can’t interpret immigration law or craft a compelling case. Discover the risks of relying on ChatGPT for O-1, EB-1A, and NIW petitions, and why human judgment still matters.
ChatGPT

AI tools like ChatGPT are changing how people work, learn, and even apply for visas. Many talented professionals now ask: “If ChatGPT can write a petition, why pay thousands in legal fees?”

With approval rates falling and delays or denials creating real risks for your future, it’s easy to think a faster, cheaper option like ChatGPT could save you time and money.

But while AI is incredibly powerful for organizing and summarizing information, it can’t yet navigate the legal and strategic nuances that turn strong credentials into an approvable visa petition. More importantly, AI tools weren’t built to interpret immigration law. 

Let’s take a closer look at some of the risks of using ChatGPT and other tools to self-file an O-1, EB-1A, or EB-2 NIW petition. 

1. AI models are working with outdated information

Let’s say an immigration attorney files an EB-1A petition with premium processing. Two weeks later, an RFE lands in their inbox, revealing how officers may be scrutinizing a particular criterion right now. That attorney studies it, rewrites arguments, adjusts how evidence is framed, and immediately applies those insights to the next client’s petition, maybe even the same afternoon.

AI can’t do that. ChatGPT isn’t receiving RFEs and approval notices in the mail. AI algorithms can’t see patterns emerging in real-time across dozens of active cases. They don’t know when officers suddenly start pushing harder on publications, or when they shift attention to impact metrics. 

And because AI models only generate text based on the information they’ve been trained on, they inevitably fall behind on all kinds of things. Claude’s latest model, for example, is trained only up to July 2025, four months behind the reality officers are operating in today.

What’s happened in immigration law since July 2025? 
– September 6: State Department Ends Third-Country Visa Interview Appointments 
– September 19: Trump Introduces $100K H-1B Fee
– October 17: DHS Plans Major Employment-Based Green Card Reforms
– October 29: DHS Ends Automatic Renewal of EADs Effective October 30 
– October 31: USCIS No Longer Accepts Checks, Money Orders 
– November 19: USCIS May Deny Green Cards to Immigrants Using Public Benefits 

Ultimately, no matter the AI model, it’s operating on limited, and almost always, outdated information. By contrast, immigration attorneys adapt in the moment, informed by how USCIS is adjudicating cases today. And in a time when EB-1A and EB-2 NIW approval rates are tightening, that kind of insight can be what pushes a strong case across the finish line.

2. AI models tend to hallucinate  

OpenAI, the company behind ChatGPT, confirmed in a September study that large language models can still “hallucinate,” or fabricate plausible-sounding but false information. In fact, the latest GPT-5 model has an error rate of around 26%, meaning it can produce an incorrect statement roughly once for every four responses.

Think about how that plays out in a real petition. An EB-1A or EB-2 NIW filing isn’t a short form. Often, it is 100, 300, sometimes even 500+ pages of letters, exhibits, publications, and other evidence. When you ask an AI model to process that volume of material, it doesn’t actually read it. It infers patterns, fills in gaps, and occasionally “remembers” details that were never there.

You might upload six articles about your work and the model confidently cites a seventh because it seems consistent with the rest. Or it misinterprets a technical detail and builds an argument around something you never proved. Suddenly, you’re not just reviewing its output. You’re spending hours correcting it, tweaking prompts, and trying to figure out why it keeps insisting your evidence says something it doesn’t. 

In a high-stakes petition, that kind of guesswork can cost you precious time and energy…not to mention, increase the risk of a denial or RFE. 

3. AI models aren’t assertive 

Even when newer AI models try to avoid errors, they often become overly cautious as a result. GPT-5, for instance, now refuses to answer about half the time. That’s useful for user safety, but not for someone trying to assemble a complete and persuasive visa petition.

Why is this risky? Well, when it comes to an immigration petition, caution isn’t neutral. It can be the downfall of your case. USCIS officers are humans who, ultimately, will be persuaded by confident arguments that explain exactly why you qualify for a visa and how your evidence meets the legal standards.

A petition that hedges, softens its claims, or avoids taking a position doesn’t come across as safe; it comes across as unconvincing. Officers have limited time to review each case, and if your narrative feels uncertain or incomplete, they’re far more likely to question your eligibility or issue an RFE.

Because at its core, a visa petition isn’t just information; it’s the art of persuasion. And effective persuasion requires judgment, strategy, and confidence that no AI model can deliver. 

How can AI empower visa applicants to move faster and smarter? 

AI can be a helpful starting point. It can summarize documents, organize timelines, and teach you the basics of immigration law. Used well, it can make you feel more prepared before you ever meet with an attorney. (It can even help you develop your evidence!)

But immigration isn’t just a research project. It’s a life-changing milestone. And that part still requires a human being who understands your story in a way AI cannot.

Picture this: you sit down with an attorney and start describing your work. You mention a conference you spoke at years ago, almost offhandedly. To you, it was just another presentation. But your attorney pauses. They ask questions. They connect that talk to a major publication you forgot you had contributed to, and then to a project that later received industry recognition. In ten minutes, they’ve uncovered a pattern of influence you never realized was there, one that becomes a cornerstone of your petition.

AI can summarize your accomplishments. But it can’t recognize their meaning.

It can’t see your blind spots, ask the right follow-up question, or identify the achievement you almost didn’t mention because you didn’t think it was important.

This is the quiet, human work behind every strong immigration petition: someone who listens, interprets, and sees the full story of your career, not just the documents you upload.

Start your visa application with Manifest Law 

At the end of the day, there are only two groups who know how USCIS is adjudicating cases today: the officers within the four walls of a service center, and the immigration attorneys who are drafting petitions and receiving RFEs and approval notices every single day. 

And in a system where trends, internal policies, and the law itself are changing rapidly, real-time human judgment isn’t a luxury; it’s the difference between a strong visa case and a vulnerable one. 

At Manifest Law, our immigration attorneys take the work of building your case seriously. We use AI where it helps, but we never rely on it to understand your story. Our team brings the curiosity to learn who you are, the judgment to see what truly sets you apart, and the strategy to turn your achievements into a compelling, human-centered petition. 

If you’re ready to build a case with a lawyer who understands both the power of technology and the power of your story, request a consultation with us today.

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About the Author
Haley Davidson author photo
Haley Davidson
Content Lead Haley Davidson is Manifest Law's Content Lead, covering all topics related to U.S. visas and Green Cards. She's passionate about making complex topics easy to understand, like immigration law.
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