Rejected by 16 colleges despite stellar academic records, a tech prodigy’s father is leveraging artificial intelligence to wage a legal war against higher education’s admissions practices.
- The Ultimate Irony: Despite boasting a 4.4 GPA and a near-perfect 1590 SAT score, Stanley Zhong was rejected by 16 colleges in 2023—but was subsequently hired as a software engineer at Google.
- An Unconventional Legal Team: After dozens of law firms declined their case, Stanley’s father, Nan Zhong, turned to multiple AI models to independently sue several major university systems for alleged racial discrimination.
- A Unique Legal Advantage: Because Stanley chose to work at Google rather than attend college, he maintains an “evergreen” legal standing to sue, operating against the backdrop of the Supreme Court’s recent ban on affirmative action.
In 2023, the story of an eighteen-year-old high school senior made national headlines and highlighted a glaring paradox in the American meritocracy. Stanley Zhong, a student at Gunn High School in Palo Alto, California, possessed the kind of resume that typically guarantees entry into the nation’s most prestigious institutions: a staggering 4.4 GPA and a near-perfect SAT score of 1590. Yet, he was rejected by 16 out of the 18 colleges to which he applied. In a twist of poetic justice, the tech industry recognized what the academic world seemingly missed, and Zhong was swiftly hired as a software engineer at Google.
Now, two and a half years later, the dust has far from settled. As recently revealed in an exclusive interview with ABC7 News anchor Kristen Sze, Stanley’s father, Nan Zhong, is actively escalating a legal battle against the universities that turned his son away. The family remains steadfast in their conviction that racial discrimination played a decisive role in the rejections. What makes this crusade extraordinary, however, is not just the accusation, but the method: faced with closed doors from the legal establishment, the Zhong family has turned to artificial intelligence to wage their war in court.
The path to litigation was paved with bureaucratic frustration. Following the initial wave of rejections, the family spent a year attempting to dialogue with University of California officials. These efforts hit a brick wall of circular logic. According to Nan Zhong, the breaking point arrived via an email from a UC admissions director who dismissed the allegations of racial discrimination simply because California law explicitly bans the practice. “When I got that line, I kept scratching my head,” Zhong remarked. “They’re saying there cannot be any noncompliance if there’s a law banning it, but we’re exactly accusing them of breaking the law secretly.” Realizing that further conversation was futile, the family escalated their grievances to state lawmakers and Governor Gavin Newsom, but those avenues also led nowhere.
Determined to seek justice, the family decided to sue the University of California, the University of Washington, the University of Michigan, and Cornell University. However, they quickly encountered another systemic hurdle: finding legal representation. After consulting with dozens of local and national law firms and legal organizations, not a single one agreed to take the case. With the statutes of limitation rapidly approaching, Nan Zhong made the bold decision to represent his son pro se. Without a formal legal background, he turned to the very technology his son helps build.
“Of course, being somebody with no legal experience at all, we naturally turned to AI,” Zhong explained. “It turned out to be a boon that we never anticipated to be so effective.” To navigate the complexities of civil litigation, the family employs a sophisticated strategy of using multiple AI models simultaneously. By cross-referencing legal questions and comparing the AI-generated answers, they actively prevent hallucinations and errors. Zhong likens the setup to “having a team of deep lawyers, top lawyers, all working for you.”
This unconventional, AI-driven legal strategy is already yielding tangible results in the courtroom. In a recent ruling regarding their case against the University of Washington, a judge officially rejected the university’s motion to stay the case. This victory highlights a broader strategic advantage the Zhongs hold over typical plaintiffs in college admissions lawsuits. Historically, courts have found that students often lose legal standing to sue over admissions by the time they reach their junior year of college, as the immediate harm is deemed resolved. But Stanley’s path diverges from the norm. “Here, Stanley has a unique advantage. He’s not going to college yet. He may go at any time,” his father noted. “So, in some ways, he has evergreen legal standing that allows us to bring the lawsuit.”
Stanley, now 21, continues to thrive in the tech sector. His career trajectory provides a stark contrast to his collegiate rejections. In 2025, he received an “outstanding impact” performance rating at Google, a distinction that places him above the majority of the tech giant’s engineers.
The Zhongs’ legal battle is unfolding during a profound shift in the broader educational landscape. In the wake of the Supreme Court’s landmark ruling in the Harvard case, which effectively banned race-based affirmative action, elite universities are facing unprecedented scrutiny regarding their admissions algorithms and selection criteria. Viewing their personal grievance as part of a much larger systemic issue, the family has invested significant personal funds to keep the litigation alive. To galvanize public support and advance their cause, they have launched a nonprofit organization named SWORD (Students Who Oppose Racial Discrimination) and are actively raising financial backing through GoFundMe.
Armed with “evergreen” legal standing, a thriving career as a counter-narrative to his rejections, and a tireless legal team powered by generative AI, the Zhong family is uniquely positioned to challenge the opaque machinery of college admissions. “We think we have a unique advantage,” Nan Zhong stated, “and we don’t want to let that go.”