Legora's chief technology officer argues there are far smarter methods to drive AI adoption than tokenmaxxing.

Jacob Lauritzen explained during a recent episode of the 20VC podcast that many teams display token usage on internal leaderboards and factor it into performance reviews. This approach pushes staff to waste tokens simply to improve their standing.

He called the practice a really poor strategy for any organization.

Tokenmaxxing involves heavy reliance on tools such as Claude, Codex, and Cursor to inflate productivity metrics and climb company AI dashboards.

Lauritzen, who joined the legal AI startup in 2024, suggested better alternatives like internal hack days or live demos where employees showcase real efficiency gains from their AI experiments.

Teams should recognize effective results and higher output rather than raw AI consumption, he noted.

At the same time, fast-growing firms like Legora risk falling behind if they avoid AI experimentation altogether.

Lauritzen pointed out that the potential 20 percent efficiency boost makes the token investment worthwhile given the company's high opportunity costs.

His remarks arrive as several tech firms shift from encouraging unlimited token use to imposing spending caps. Some organizations now question whether earlier dashboards have produced unintended waste, prompting finance teams to scrutinize rising costs.

Uber recently capped monthly AI tool spending at 1500 dollars per employee after exceeding its budget earlier this year.

Amazon previously removed an internal AI usage tracker after employees completed tasks mainly to improve their rankings.

A company spokesperson clarified that the dashboard was never meant to reward usage for its own sake.

Cerebras Systems CEO Andrew Feldman recently described unlimited token policies as misguided from the start and urged teams to choose cost-effective open source models instead.