MOUNTAIN VIEW, Calif. (PRWEB) October 23, 2018
Technology-based law consulting firm AILaw Inc. today announced that advanced artificial-intelligence technology it developed in-house is now helping American employers more speedily and reliably obtain temporary work visas for their skilled foreign-born hires despite harsh new U.S. Citizenship and Immigration Services (USCIS) practices.
An 85-percent reduction on average in requests for evidence (RFE) and a 28-percent increase in the rate of approval are being achieved by AILaw's machine-learning immigration/work-visa solution as compared to results achieved by traditional immigration law firms and lawyer practices using conventional paperwork-completion methods, said Shiyang Gong, LLM, founder and chief executive officer of Mountain View, California,-based AILaw.
"RFEs are costly and could delay worker placements by months,” she said. “Reducing the likelihood for RFEs is very valuable to clients seeking H-1B, L-1, EB-1, EB-2, EB-3, and other types of U.S. work visas."
Gong said one of the reasons AILaw’s pass rate is so impressive is that its system “enables us to make sure each application or petition we submit on behalf of our clients is fully completed, mistake-free, and properly nuanced.”
The importance of turning in an application or petition that is as perfect as possible cannot be overstated, Gong asserted. “New practices adopted by USCIS encourage its personnel to pick up on even the smallest inconsistency and, in response, issue an RFE,” she said.
RFEs slow the approval process to a snail’s pace. Delays can cause severe disruption to the plans of businesses looking to fill job openings with highly skilled foreign workers and can impose severe financial hardship on the immigrants expecting to be hired, Gong explained.
“If a worker has a temporary work visa, such as an OPT [Optional Practical Training], and it expires before that person can receive an H-1B visa, he or she won't possess a legitimate work visa and that’s going to create unnecessary problems for the worker and a loss for the company wanting to hire this individual,” said Gong, an attorney and seasoned courtroom litigator with a reputation for toughness and tenacity (her practice—Sunwise Law APC—has championed thousands of clients in immigration and regulatory compliance cases over the past decade).
“Delays and their dire consequences are exactly what our artificial intelligence system is designed to help AILaw clients avoid,” she added. “Our latest numbers demonstrate that we and our clients are in fact sidestepping those problems and that it is vital to work with a law consulting firm like AILaw or a law firm like Sunwise Law that can guarantee an exceptionally low incidence of RFEs.”
Powerful algorithms are at the heart of AILaw’s technology. The system evaluates each applicant’s or petitioner’s risk factors and then uses those insights to guide the AILaw legal team in completing the work-visa paperwork.
“Risk-factor evaluation is traditionally a task that takes lots of time and labor, both of which require the expenditure of a great deal of money, but our algorithms make the process fast, easy, and economical,” Gong said. “The efficiencies we’ve gained mean that we can pay tremendous attention to detail without having to bring in lots of extra hands and expertise.
“As a result, our clients’ applications or petitions are structured to pass rigorous USCIS scrutiny so that they have the best possible chance of sailing right on through the approval process.”
Demand for work visas is rising. According to a Pew Research Center study published earlier this year, the H-1B program is the most often-utilized path by which American employers bring in high-skilled immigrants to fill job vacancies, of which there currently are millions.
"As demand rises, the difficulty of obtaining a work visa ramps upwards as well,” said Gong. “RFEs are now at a staggering 68.9 percent."
AILaw’s clients using its immigration/work-visa solutions include American tech companies, entertainment studios, hospitals, universities, financial institutions, and the skilled immigrants, said Gong, who is licensed to practice law in both California and New York and was a top student during her years at Vanderbilt University Law School.
AILaw started in 2017. The spark that gave rise to AILaw occurred when Gong told friends about her frustrations with the work-visa application process. Several of those friends were Silicon Valley technology engineers who happened to be experts in artificial intelligence. They persuaded Gong that machine-learning technology could be harnessed to fill out applications in a way that would avoid delays and improve outcomes.
“The solution we came up with is a handy legal assistant to tackle common legal problems, not just immigration paperwork,” said AILaw Chief Operating Officer Zhen Tang, Ph.D., formerly a software engineer at Facebook and, before that, Yahoo.
Added Yuji Mo, chief technology officer: “It’s a vision of a future where reliable legal service is affordable to everyone.”
Said Vice President of Growth Marketing Tianze (Rocky) Zhou, “AILaw makes it easy for companies of all sizes to flawlessly manage work visas and to benefit from the industry's best success rates.”
Learn more about AILaw. For more information about AILaw or how its artificial intelligence-enabled immigration/work-visa solutions improve the chances of speedily obtaining work-visa application/petition approval, or to request a demonstration, contact Tang at https://calendly.com/zhent/ailaw/. Also please follow AILaw at LinkedIn, Facebook, and Twitter.
Media Contact: Dr. Zhen Tang, (650) 304-2194.