Hongxi Wang spent nearly three years grinding as a venture capital associate at Pillsbury. He pulled all-nighters reviewing documents, slogged through non-billable administrative work, and stared mind-numbingly at endless investor questionnaires. Like so many junior associates in Big Law, he wondered if there was a better way.
Then he found the answer — on the other side of the technology.
Wang left Pillsbury to become the founding legal engineer at Equall, a legal AI startup. His job description reads like something that didn't exist five years ago: part product developer, part customer liaison, part translator between practicing lawyers and software engineers. He embeds real legal judgment into AI tools so they actually work for the lawyers using them.
"You take what you were practicing and think about, what is the thing I hate doing the most?" Wang says of his approach.
He's not alone. The legal engineer role is exploding. Harvey, one of the leading legal AI companies, already employs 160 legal engineers — a fivefold jump in a single year — and they're hiring dozens more. Legora has around 100. Almost every serious legal AI company is racing to hire former practicing lawyers.
Miranda Hatch, another legal engineer, spent over three years at Cleary Gottlieb before joining Norm Ai, where she helped build a tool that reviews credit agreements in bankruptcy cases. Work that once took an associate 50 to 100 hours? It now takes about 15 minutes.
Jane Elmore, a legal engineer at Legora who spent a decade in firms, most recently as a litigation associate at A&O Shearman, says the cultural shift is as attractive as the equity. "In law, there's that reputation that we're doing this because it's the way it's always been done," she said. "I always found that infuriating."
Alexis Nicholas moved from London to San Francisco to join Ivo, calling the moment "our version of the dot-com boom."
The efficiency gains are real — but not everyone is celebrating. Aniket Kesari, an associate professor at Fordham Law School, warns that AI is excellent at accelerating work for people who already understand the task, but the benefits shrink and the risks grow when someone lacks that base knowledge. "Without struggling through" the basics, he says, higher-level thinking becomes harder.
The traditional legal apprenticeship model — where juniors learned by doing the tedious work — is under pressure. Firms and law schools will need to redesign training deliberately.
For Wang and the growing cohort of legal engineers, though, it's the best career move they've made. They're not just escaping the grind. They're building the tools that will define the next generation of legal work — and getting equity upside while they do it.