Alma is an immigration law firm built for employment-based US visas and green cards, covering categories like O-1, H-1B, EB-1A, and EB-2 NIW for startup founders, researchers, and engineers, plus the companies hiring them. Every case is directed by an attorney who owns the strategy and the filing, supported by an AI-powered platform and case intelligence layer, and the firm reports <cite name="tryalma" index="3-0">a 98%+ approval rate</cite> across filings. For teams weighing whether to sponsor a strong candidate, the pitch is that legal review stops being the bottleneck that kills the hire.
The launch marks Alma's Series A. Alma raised $17 million in a Series A round led by Bling Capital, with Forerunner, MVP Ventures, Interplay VC, and GSBackers also participating , adding to earlier backing from Village Global, NFX, Conviction, and NEA. The timing lines up with a broader push into company-side workflows, including contractually binding, real-time SLAs, SOC 2 Type II compliance, and HRIS and ATS integrations across Workday, Rippling, Greenhouse and similar systems, which is what makes Alma usable inside a scaling AI company rather than as a one-off vendor.
The company was founded by Aizada Marat, Shuo Chen, and Assel Tuleubayeva, with Marat as CEO. Marat grew up in rural Kyrgyzstan and came to the US at 17 through a State Department exchange program before working at McKinsey and Cooley and attending Harvard Law, and she has framed Alma as an attempt to rebuild a legal category that most founders currently treat as a tax on hiring. The Series A signals that investors see room for an attorney-led, software-native firm to take share from traditional immigration practices as AI companies race to lock in scarce technical talent.
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Priya Vaswani14d ago
The tweet copy does the whole job in two sentences. Whoever wrote that framing deserves a raise, funded by the Series A.
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Samia El-Amin14d ago
Counter-tagline for free: 'Hire globally. Paper trail on us.' Yours is fine but mine fits on a hoodie.
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kwame.mp414d ago
Video pacing is clean but the b-roll of stamped visas is doing a LOT of narrative heavy lifting. More talking head, less stock, next time.
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Dmitri Faerber14d ago
Have watched three AI legal launches this quarter and this is the first one where the founder didn't say 'agentic' seven times. Small mercies.
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Lin O.14d ago
How small is the ops team behind this? Immigration is not a wrapper-around-GPT problem, so I'm genuinely curious what the human-to-case ratio looks like.
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Noah Bergqvist14d ago
Naive question but what actually happens when USCIS changes a form mid-case? Does the AI just pretend nothing happened or is there a human who catches it.
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vera14d ago
Every founder pitching me this year has 'we couldn't hire the engineer we wanted' as slide 3. The market is real, the wedge is real, I just want to see the retention curve.
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CJ Halloran14d ago
Immigration law with AI? Feels like something you'd want a very sleepy paralegal double-checking. Call me when the malpractice insurance quote stops laughing.
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Hana Yildirim14d ago
Where is the case data hosted and who gets to see the drafts before they're filed? Not being difficult, this is the first question every GC will ask on procurement.
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Rafa Iturbide14d ago
Talent arbitrage was always the real AI moat. Nobody wanted to say it out loud until now.
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Alma is an immigration law firm built for employment-based US visas and green cards, covering categories like O-1, H-1B, EB-1A, and EB-2 NIW for startup founders, researchers, and engineers, plus the companies hiring them. Every case is directed by an attorney who owns the strategy and the filing, supported by an AI-powered platform and case intelligence layer, and the firm reports <cite name="tryalma" index="3-0">a 98%+ approval rate</cite> across filings. For teams weighing whether to sponsor a strong candidate, the pitch is that legal review stops being the bottleneck that kills the hire. The launch marks Alma's Series A. Alma raised $17 million in a Series A round led by Bling Capital, with Forerunner, MVP Ventures, Interplay VC, and GSBackers also participating , adding to earlier backing from Village Global, NFX, Conviction, and NEA. The timing lines up with a broader push into company-side workflows, including contractually binding, real-time SLAs, SOC 2 Type II compliance, and HRIS and ATS integrations across Workday, Rippling, Greenhouse and similar systems, which is what makes Alma usable inside a scaling AI company rather than as a one-off vendor. The company was founded by Aizada Marat, Shuo Chen, and Assel Tuleubayeva, with Marat as CEO. Marat grew up in rural Kyrgyzstan and came to the US at 17 through a State Department exchange program before working at McKinsey and Cooley and attending Harvard Law, and she has framed Alma as an attempt to rebuild a legal category that most founders currently treat as a tax on hiring. The Series A signals that investors see room for an attorney-led, software-native firm to take share from traditional immigration practices as AI companies race to lock in scarce technical talent.
Comments (10)
The tweet copy does the whole job in two sentences. Whoever wrote that framing deserves a raise, funded by the Series A.
Counter-tagline for free: 'Hire globally. Paper trail on us.' Yours is fine but mine fits on a hoodie.
Video pacing is clean but the b-roll of stamped visas is doing a LOT of narrative heavy lifting. More talking head, less stock, next time.
Have watched three AI legal launches this quarter and this is the first one where the founder didn't say 'agentic' seven times. Small mercies.
How small is the ops team behind this? Immigration is not a wrapper-around-GPT problem, so I'm genuinely curious what the human-to-case ratio looks like.
Naive question but what actually happens when USCIS changes a form mid-case? Does the AI just pretend nothing happened or is there a human who catches it.
Every founder pitching me this year has 'we couldn't hire the engineer we wanted' as slide 3. The market is real, the wedge is real, I just want to see the retention curve.
Immigration law with AI? Feels like something you'd want a very sleepy paralegal double-checking. Call me when the malpractice insurance quote stops laughing.
Where is the case data hosted and who gets to see the drafts before they're filed? Not being difficult, this is the first question every GC will ask on procurement.
Talent arbitrage was always the real AI moat. Nobody wanted to say it out loud until now.