AI Chatbot for Green Card Lawyers
Walk prospects through employment, family, and humanitarian green card paths, priority dates, and adjustment versus consular processing, then book the right consult around the clock. Bring your own OpenAI, Anthropic, Google, or OpenRouter key.
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Green card prospects come from every path
Green card prospects show up on the website from every direction. An engineer in H-1B status wants EB-2 PERM. A US citizen wants to sponsor a parent abroad. A widow of a US citizen has just learned about VAWA self-petitioning. A researcher wants to know whether EB-1A is realistic without an employer. SleekAI sorts the path, captures the path-specific intake, and books with the right attorney instead of running one generic intake script across cases that have nothing in common.
The bot is grounded in your published green-card framework and the current visa bulletin. When an engineer in EB-2 from India asks about priority dates, the bot references your visa bulletin page and explains that EB-2 India retrogression is severe without predicting future bulletin movement. When a US citizen sponsoring a parent asks about timing, the bot explains that immediate-relative petitions are not subject to numerical caps and quotes your I-130 plus I-485 flat fee.
The line the system prompt holds is firm: SleekAI does not opine on whether a specific EB-2 NIW case will succeed, whether a specific EB-1A petition meets the extraordinary-ability standard, whether a specific marriage-based interview will sustain bona-fides scrutiny, or whether a specific affidavit-of-support will clear public charge concerns. Those analyses belong with a licensed attorney.
Workflow
How SleekAI sorts green card paths
Sort the path
Reference the bulletin
Capture path-specific facts
Route to the specialist
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A typical Green Card Lawyers conversation
Comparison
Generic chatbot vs SleekAI for Green Card Lawyers
Generic chatbot
- Confuses employment and family-based paths
- Quotes outdated USCIS fees
- Predicts priority-date movement it cannot know
- Skips required disclaimers
- Books generalist consults for specialty cases
SleekAI chatbot
- Sorts employment, family, humanitarian, and investment paths
- References current visa bulletin without predicting movement
- Quotes flat fees from your service pages
- Captures country of birth, status, and timeline upfront
- Routes EB-1A, NIW, and VAWA cases to specialists
Features
What SleekAI gives you for Green Card Lawyers
Path sorting
Employment, family, humanitarian, asylum-to-LPR, and investment each have different intake, different fees, and different attorneys. The bot recognises the path from the description and routes accordingly.
Priority-date awareness
EB-2 and EB-3 India and China backlogs and F-category family backlogs drive the conversation. The bot references your visa bulletin page without predicting future movement, which is what the State Department itself refuses to do.
Adjustment vs consular
Captures the prospect's current location, status, and priority-date posture to route adjustment of status (I-485 in the US) versus consular processing (NVC plus interview abroad) cases differently in the consult.
Use cases
Where green card lawyers use SleekAI
Employment-based intake
EB-1, EB-2, EB-2 NIW, EB-3, and EB-5 each have different signals and different attorneys. The bot captures education, employer, role, and country of birth to sort and route.
Family-based intake
Immediate relative (I-130 IR), F-category preference, K-1 fiance, and consular versus adjustment all sorted from the relationship and the petitioner's status. Marriage-based intake captures bona-fides facts upfront.
Humanitarian routing
VAWA self-petitioners, U visa holders, T visa holders, and asylum-to-LPR adjusters need specialized counsel. The bot recognises the signals and routes to the right attorney with a discreet, supportive tone.
The bigger picture
Why green card intake has to sort first and predict never
Green card is the broadest, most varied practice area in US immigration law, and intake that treats every prospect identically wastes everyone's time. The engineer in H-1B status considering EB-2 NIW has nothing in common with the US citizen sponsoring a parent abroad, who has nothing in common with the VAWA self-petitioner, who has nothing in common with the EB-5 investor. The fees are different, the timelines are different, the attorneys are different, and the intake questions are different.
A chatbot that runs one script across all four ends up too long for the simple cases and too shallow for the complex ones. SleekAI's design solves this by sorting the path from the first message and adjusting the conversation accordingly. The employment intake captures country of birth, education, employer, and proposed endeavor; the family intake captures the relationship and petitioner status; the humanitarian intake handles the discreet signals (VAWA, U, T) with care; the investment intake captures source of funds and regional center intent.
Beyond the sorting, the bot holds a hard line against prediction. Visa bulletin movement is unpredictable - the State Department itself refuses to forecast - and a chatbot that drifts into 'your priority date should be current next year' produces false hope that the firm has to walk back. EB-2 NIW merits, EB-1A extraordinary-ability findings, and marriage-based bona-fides scrutiny are all fact-intensive determinations that depend on the file.
The bot explains the framework for each and routes the analysis to the consult, every time. The result is a green-card chatbot that does the front-door work of a varied practice area without conflating paths or making predictions, which is exactly the discipline that makes the rest of the case go well.
Questions
Common questions about SleekAI for Green Card Lawyers
No. EB-2 NIW analysis depends on whether the proposed endeavor has substantial merit and national importance, whether the petitioner is well-positioned to advance it, and whether on balance it would benefit the US to waive the labor certification requirement (the three Dhanasar prongs). The bot explains the framework but does not opine on whether a specific record meets the prongs. That assessment is fact-intensive and depends on publications, citations, peer letters, and the proposed endeavor itself, which is what the attorney evaluates in the consult.
 Yes, when your visa bulletin page is current. The bot references your published bulletin tracking rather than baking dates into a system prompt, so when DOS issues a new bulletin you update one page and every conversation reflects the current cutoffs. The bot does not predict future bulletin movement, which DOS itself refuses to do publicly, and that boundary is critical: prospects with India and China backlogs deserve accurate framing, not optimistic guesses.
 Yes. Multibot supports a family-based bot on family pages with I-130, K-1, IR-1/CR-1, consular processing, and adjustment language. Marriage-based intake captures the relationship facts (how met, marriage date, prior marriages, current status) that the attorney needs for bona-fides preparation. The bot does not opine on whether a specific marriage will clear bona-fides scrutiny - that is the attorney's analysis after reviewing documents and meeting the couple.
 Yes, with appropriate care. VAWA self-petitions, U visa applications, T visa applications, and asylum-to-LPR adjustments each have specific eligibility frameworks and discreet intake needs. The bot recognises the signals (domestic-violence language for VAWA, victim-of-crime language for U, trafficking language for T) and shifts to a supportive tone while routing to the specialist. For VAWA in particular, the bot shares the National DV Hotline (1-800-799-7233) and triggers same-day callback through your webhook.
 Yes. Adjustment of status (I-485) is filed inside the US when the prospect is already in valid status with a current priority date; consular processing happens through the National Visa Center and the consulate abroad. The bot captures location and status to suggest the right path framework, while explaining that the actual choice involves factors (travel, prior history, dependents, timing) that the attorney evaluates in the consult. The framework is on your pages; the recommendation is in the consult.
 Conversation logs live in your WordPress database under your control. Green-card intake involves country of birth, immigration history, family relationships, and sometimes prior immigration violations or arrests, all of which are sensitive. Most green-card practices purge full logs on a strict schedule and forward summaries to the case management system. API calls use your own OpenAI, Anthropic, Google, or OpenRouter key, so prompts do not pass through any SleekAI server.
 At a framework level. EB-5 requires substantial investment ($800,000 in a targeted employment area or $1,050,000 elsewhere currently) and job creation. The bot captures the investment amount, source of funds posture, and regional center versus direct-investment intent, then routes to the EB-5 specialist with the conversation context attached. The bot does not opine on whether a specific source-of-funds documentation will sustain - that is the attorney's analysis with the financial documents in hand.
 Natively. GPT-4o and Claude both handle Spanish, Mandarin, Hindi, Tagalog, Portuguese, Arabic, Korean, Vietnamese, and many other languages, which covers most green-card intake populations in the US. The bot mirrors the user's language. Family-based and consular-processing intake especially benefits from multilingual capability because spouses and parents abroad often initiate the research in their first language.
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