Everlaw, which offers ML-powered ediscovery tools to help sift through huge volumes of legal evidence, raises $62M Series C led by CapitalG and Menlo Ventures
Everlaw is bringing modern data management, visualization and machine learning to eDiscovery, the process in which legal entities …
Context & Ripple Effects
This round extends a run Menlo Ventures started: it led Everlaw's $25M Series B in 2018 alongside a16z, and returns here with CapitalG as co-lead for a $62M Series C — roughly doubling the company's prior raise size. The bet pays off on paper within eighteen months, when Everlaw goes on to close a $202M Series D at a $2B+ valuation.
The round also lands just before legal AI turns into a crowded funding lane: Luminance, LegalOn, and Eudia all raise large rounds in the years that follow, making this Series C an early marker of where venture capital decided document-heavy legal work was automatable.
First-order effects
- Everlaw gets growth capital from CapitalG and a returning lead in Menlo Ventures to scale its ML-powered eDiscovery platform, moving from the 2018 Series B stage into late-stage territory ahead of its eventual $2B+ Series D.
- Menlo Ventures deepens its position in applied legal AI two years in a row, pairing this check with the Anthropic-focused AI funds it would later raise.
Second-order effects
- Rivals read the same signal: LegalOn's $50M Series C for AI contract review, Luminance's $40M round, and Eudia's up-to-$105M stealth exit all follow in adjacent legal niches, forcing every player to fund ML roadmaps rather than incremental feature work.
- CapitalG's involvement brings Google-affiliated growth capital into a category previously backed by conventional VCs, raising the bar for what follow-on rounds in legal tech look like.
Third-order effects
- If the pattern holds, legal work unbundles into separately funded ML verticals — evidence review (Everlaw), contracts (LegalOn), in-house agents (Eudia) — rather than one suite owning the lawyer's desktop.
- For investors like Menlo, early applied-AI positions such as this one become the feeder layer beneath the much larger frontier-lab bets (Anthropic) and dedicated AI funds that define its later strategy.
The trend: Legal AI is shifting from single-tool ediscovery plays to a wave of category-specific ML platforms, each pulling nine-figure venture rounds as the market segments by task.