The Numbers
Harvey AI CEO Winston Weinberg posted April metrics: DAU/MAU approaching 50%, average user spending 12 hours per month in the product, net new ARR up 6x year over year.
For context: most B2B SaaS tools sit at 10-20% DAU/MAU. Slack and Notion hit 50% with power users. Harvey is a legal AI agent platform, not a collaboration tool. That engagement level is unusual.
12 hours monthly breaks down to roughly 25-30 minutes daily, every working day. Average ChatGPT session in 2025 was 13-14 minutes. Harvey users are spending nearly an hour per workday inside one vendor's product.
Why This Matters for Sales
If you are selling B2B AI tools, your buyers now care about DAU/WAU/MAU. Enterprise legal teams piloting Harvey are not evaluating on features alone. They are tracking daily active usage across their org because high engagement predicts renewal and expansion.
Traditional B2B metrics (ARR, NRR, logo retention) still matter. But in AI tooling, engagement is the leading indicator. Low weekly active usage means the tool is not in the workflow. That shows up as churn 6-12 months later.
For AEs: if your product has engagement data, lead with it in renewals. "Your team logs in 4 days per week" is a stronger retention signal than "you are on the enterprise plan."
For sales leaders: if you are buying AI tools for your team, ask for DAU/WAU benchmarks during the pilot. A tool with 15% DAU/MAU after 90 days is not sticking. Rip it out before the annual renews.
What Good Looks Like
B2C benchmarks: 20%+ DAU/MAU is solid, 40%+ is excellent. B2B traditionally sat lower because tools were not daily-use. AI is changing that.
Harvey's 50% suggests their product is in the daily workflow, not a once-a-week lookup tool. That drives the 6x ARR growth. Users who engage daily expand seats, renew early, and refer internally.
Worth noting: Harvey raised over $500M, reportedly valued at $5B+ as of early 2025, with $50M+ ARR. Limited ANZ footprint (under 5 heads, some pilots with firms like King & Wood Mallesons). Sales team estimated at 50-70 globally, scaling enterprise motion post-2025 funding.
The Takeaway
If you sell B2B AI: engagement metrics are now renewal predictors. Track DAU/WAU/MAU in your pilots. Report them in QBRs. Use them to justify expansion.
If you buy tools for your sales team: ask vendors for engagement benchmarks. If they can't provide them, that tells you something.