So if she was never admitted, and under those circumstances still held herself out as a lawyer/attorney, to the point that the President introduced her as such, it is a huge red flag, both for the legal profession and the American people.
However, the people in those roles (without a license) are repeatedly made acutely aware of the limited scope of their role and are repeatedly informed about the rules calling themselves lawyers/attorneys.
Then she started working for a Chinese firm and never sat for the bar because it wasn’t needed for her particular (reduced) role in that practice group, and also didn’t match her family situation.
The firm she worked at, Zhong Lun, is a prestigious Chinese firm that would have a solid internal control system to track licensing / bar results.
The firm’s rules echoed the ethics rules that had been drilled into us in law school about the unauthorized practice of law and advertising us as “lawyers” or “attorneys”. Everyone was acutely aware of the threshold, needing to both pass the bar and be admitted.
The Chippy Dippy Dopey Duck songs have invaded my kids playlists like the Baby Shark songs did when they were much younger. AI sign of the times.
Jared T Nelson retweeted
Why do legal AI systems fail when cases unfold over months, not moments?
Researchers from Fudan University, Shanghai Innovation Institute, and Northwest University of Political and Law present LegalWorld – a life-cycle legal environment that models Chinese civil litigation as a causally connected chain of five stages, not isolated tasks.
Built on 75,309 real judgments with persistent memory and skills, it outperforms prior simulators by preserving cross-stage dependencies.
Tests across consultation, drafting, and courtroom advocacy reveal sharp capability gaps – no single model leads across all stages, proving that today's aggregated scores hide critical weaknesses.
LegalWorld: ALife-Cycle Interactive Environment for Legal Agents
Paper: arxiv.org/abs/2606.18728
Project: github.com/sii-research/Lega…
Our report: mp.weixin.qq.com/s/E3e8Sp0BT…
📬 #PapersAccepted by Jiqizhixin
Jared T Nelson retweeted
I’m an AI PhD at Oxford wanted to move to the US for years, but it never worked out. Maybe I can share why.
To me, it feels like the US is making it harder and harder for Chinese talent to come or stay.
First, Trump signed PP10043, which meant I couldn’t go to the US for any graduate school. That’s why I had to turn down my Stanford offer and come to Oxford.
Later, I qualified for an EB-1A (the extraordinary ability green card). But because I was born in China, I’m stuck in a country-specific backlog that could take another 4–5 years.
Meanwhile, on the other side, I’m getting 3–4 emails from China almost every week. They offer high salaries, free housing, generous research funding, and even offered an astonishing amount of money just for me to come back and have a conversation.
I’ve always loved the American spirit. I truly believe my abilities could have a bigger impact there. But honestly, the whole process has been incredibly frustrating.
All of this makes me wonder whether I should just give up.
Why am I spending so much energy trying to go to a country that doesn’t seem to want me, when another country is doing everything it can to bring me back?








