Visalaw Team
H-1B work comes with a lot of moving parts: intake documents, job descriptions, SOC codes, O*NET and Occupational Outlook Handbook support, wage questions, missing evidence, and sometimes RFEs.
For immigration attorneys, paralegals, and support staff, the challenge is not always knowing what needs to be done. It is finding time to move through the work efficiently while keeping the case organized and consistent.
That is where Visalaw AI can help.
In a recent webinar, the Visalaw AI team walked through a mock H-1B case for Dr. Patel, a senior research scientist sponsored by a solar-energy company. The demo showed how teams can use Visalaw AI throughout an H-1B workflow, from early case review to SOC mapping to RFE analysis.
This article shares practical ways to use Visalaw AI in your H-1B work, along with prompt examples your team can adapt for real cases.
Before you start asking Visalaw AI questions, create a project for the case. In Visalaw AI 2.0, projects help keep your documents, chats, summaries, and analysis tied to the same matter. This is best practice for keep all of your chats and documents organized and so that you are able to search the immigration law library and your documents concurrently.
For an H-1B case, you can create a project for the beneficiary or employer matter, upload the supporting documents, and run your prompts from inside that project. This gives Visalaw AI the context of the case file, so you do not have to keep re-explaining the same facts in every prompt.
In the webinar demo, the team uploaded supporting documents for the Dr. Patel H-1B case and then used those documents to run case summaries, occupational mapping, and RFE analysis.
A fast case summary is a great first step after uploading documents. It gives the attorney or case team a quick view of the facts, strengths, risks, and missing items.
Review the uploaded documents for this H-1B case. Provide a concise case summary that includes the petitioner, beneficiary, offered position, worksite, wage, requested validity period, key strengths, possible risks, missing items, and recommended next steps.
Use this at the beginning of the case, after intake documents are uploaded, or before attorney review. It can help support staff quickly organize the file and help attorneys spot issues earlier.
H-1B filings can slow down when the team discovers missing evidence late in the process. Visalaw AI can help create a practical missing-items checklist based on the uploaded documents.
Review the uploaded H-1B case documents and identify anything that appears missing, incomplete, inconsistent, or needing attorney review before filing. Organize the response as a checklist.
Use this after intake, before drafting, or before final petition assembly. This is especially helpful for paralegals and support staff preparing the file for attorney review.
The job description is one of the most important pieces of an H-1B case. Visalaw AI can help identify whether the duties are specific enough and whether they support a specialty occupation argument.
Review the uploaded job description for this H-1B case. Identify which duties are strongest for specialty occupation purposes, which duties are too general or underdeveloped, and what edits could make the job description stronger.
Use this before finalizing the employer support letter or when the job description feels too generic.
In the webinar, one of the key H-1B workflows was mapping job duties to SOC, O*NET, and the Occupational Outlook Handbook. This can save time when your team is trying to confirm whether the selected occupation makes sense.
Based on the uploaded job description, employer letter, and beneficiary documents, identify the best SOC code options for this H-1B role. Compare the selected SOC code against O*NET and the Occupational Outlook Handbook, and explain which job duties support the classification.
Use this when preparing or reviewing the LCA, drafting the support letter, or checking whether the occupational classification lines up with the actual job duties.
Sometimes the selected SOC code is not obviously wrong, but there may be a better or more defensible option. Visalaw AI can help compare alternatives.
Compare the possible SOC codes for this H-1B position based on the uploaded job description and supporting documents. Recommend the strongest primary SOC code and any backup options. Explain the pros and cons of each in plain English.
Use this when a role is technical, hybrid, or hard to classify, such as research scientist, data analyst, product manager, engineer, or business operations roles.
H-1B teams often need to make sure the wage, worksite, SOC code, and job description all line up. Visalaw AI can help flag potential inconsistencies.
Review the LCA, wage information, job description, and offer letter for this H-1B case. Identify any inconsistencies or issues involving the SOC code, wage level, offered wage, worksite, job title, or employment dates.
Use this before filing, before attorney review, or when updating petition documents after LCA preparation.
A lot of H-1B problems come from small inconsistencies across documents: different job titles, different dates, missing fields, inconsistent financial numbers, or unsupported claims.
Compare all uploaded H-1B petition documents and identify inconsistencies, missing fields, placeholders, unsupported statements, or facts that need attorney review before filing. Organize the answer by document.
Use this before finalizing the petition packet. This can be especially helpful as a quality-control step for support staff.
The webinar highlighted RFE prediction as one of the biggest potential time-savers. Before filing, Visalaw AI can help identify where USCIS may ask questions and what evidence could reduce that risk.
Based on the uploaded H-1B case documents, predict the most likely USCIS RFE issues. Rank them by likelihood and explain what evidence we should add now to reduce the chance of an RFE.
Use this after the main documents are drafted but before final review. It can help the team strengthen the case proactively.
If an RFE arrives, Visalaw AI can help the team quickly understand what USCIS is asking for and how to organize the response. In the webinar, the team used an RFE analysis skill to review the mock H-1B RFE for Dr. Patel. The skill helped summarize requested items, identify examples of adequate evidence, and suggest potential counterarguments.
Analyze the uploaded H-1B RFE. Break it into each issue raised by USCIS. For each issue, summarize what USCIS is requesting, identify what evidence we already have, list what evidence is missing, and suggest possible response strategies.
Use this immediately after receiving an RFE. It can help the attorney and case team turn the notice into an action plan.
Once the RFE issues are identified, Visalaw AI can help turn the analysis into a checklist for the client or internal team.
Turn this H-1B RFE analysis into an evidence checklist. Group the requested items by employer documents, beneficiary documents, third-party documents, and attorney-prepared materials.
Use this after the RFE has been analyzed and before sending a document request to the client.
Attorneys and paralegals often need to convert legal analysis into a clear client request. Visalaw AI can help make the request easier for clients to understand.
Create a client-friendly document request list based on this H-1B RFE. Use plain English, group the requests by category, and briefly explain why each item is needed.
Use this when communicating with the employer, beneficiary, or other stakeholders after an RFE or during pre-filing evidence collection.
Visalaw AI skills are reusable, detailed prompts built for common immigration workflows. Instead of rewriting a long prompt every time, your team can use a skill to run a more structured analysis.
For H-1B work, skills can help with tasks like:
You can also create your own skills for workflows your team repeats often. For example, if your firm has a standard H-1B intake review process, you could turn that into a reusable skill so staff members can run the same review across cases.
Good prompts do not need to be complicated. The most useful prompts are clear about the task, the documents to review, and the format you want back.
Review this case.
Review the uploaded H-1B documents and provide a concise attorney-facing case summary with strengths, risks, missing items, and recommended next steps.
Is the job description okay?
Review the uploaded H-1B job description and identify which duties best support specialty occupation, which duties are too generic, and what edits would make the description stronger.
Help with this RFE.
Analyze the uploaded H-1B RFE. Break it into issues, identify what USCIS is asking for, list available and missing evidence, and suggest response strategies.
Here is a quick workflow immigration teams can use inside Visalaw AI:
Visalaw AI can help immigration attorneys, paralegals, and support staff move faster through H-1B work by turning case documents into usable summaries, checklists, issue lists, and prompt-driven analysis.
The goal is not to replace legal judgment. It is to reduce time spent on repetitive first-pass review, document comparison, occupational mapping, and RFE organization, so your team can spend more time on strategy, client service, and final legal work. Our goal with Visalaw AI is to empower the lawyers and support staff that are bogged down in processes that could be helped with AI powered legal research and drafting.
For H-1B work, the best place to start is simple: upload the case documents, create a project, and ask Visalaw AI for the next useful step.
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