What this is
Legal AI is the highest-velocity enterprise AI category outside coding. Harvey raised four rounds in 12 months, Thomson Reuters and LexisNexis are spending nine figures on AI features, and Clio just acquired vLex for $1B. This page is a 2026-05-15 snapshot of who leads on which axis.
Top Tools at a Glance
| Tool | Category | Latest valuation | ARR / scale | Strength |
|---|---|---|---|---|
| Harvey | AI-native generalist | $11B (Mar 2026) | $190M ARR | Am Law 100 distribution |
| CoCounsel (Thomson Reuters) | Incumbent + AI | n/a (TR public) | $200M+/yr R&D into AI | Westlaw integration |
| Lexis+ AI (LexisNexis) | Incumbent + AI | n/a (RELX public) | Multi-region rollout | Lexis corpus + Protégé agent |
| Luminance | Contract intelligence | ~$1.5B (Series C) | 150M+ docs processed | Pre-trained legal LLM |
| Spellbook | Contract drafting | ~$350M (Series B) | 4,000+ legal teams | Word add-in ergonomics |
| Ironclad | CLM + AI | ~$3.2B | Late-stage | End-to-end CLM |
| vLex (acq. by Clio) | Legal research | $1B (acq. Dec 2025) | Largest deal in Clio history | Multi-jurisdiction corpus |
| GC AI | In-house counsel agent | Series A | Fast SMB growth | GC-specific workflows |
| Eve.legal | Plaintiff-side litigation | Series A | Niche category leader | Plaintiff-firm specialisation |
Harvey's Funding Cadence (12 months)
| Round | Date | Size | Post-money valuation |
|---|---|---|---|
| Series D | Feb 2025 | $300M | $3B |
| Series E | Jun 2025 | $300M | $5B |
| Series F | Dec 2025 | $160M | $8B |
| Latest | Mar 25, 2026 | $200M | $11B |
Category Leaders by Axis
| Axis | Leader |
|---|---|
| Am Law 100 install base | Harvey |
| Mid-market & solo | Spellbook |
| Document volume processed | Luminance |
| Research / citation | CoCounsel + Lexis+ AI (tied) |
| CLM + AI | Ironclad |
| In-house counsel | GC AI |
| Plaintiff-side | Eve.legal |
Six Things the Data Tells You
- Harvey raised four rounds in 12 months and ARR went from ~$100M (Aug 2025) to $190M (Jan 2026). Almost no other enterprise AI category has seen this cadence.
- Incumbents are spending to retain customers, not to win share. TR's $200M+/yr into Westlaw + CoCounsel is defensive against Harvey.
- The consolidation pattern matters. Clio + vLex creates an SMB-stack that competes with the Harvey-into-AmLaw pattern from below.
- Document volume is no longer a moat. Luminance's 150M-doc processing record is impressive but Harvey and Lexis match it on annualised throughput.
- Vertical specialisation pays. GC AI, Eve.legal, and Spellbook each win their niche; horizontal generalists struggle below the Am Law 200 line.
- Multi-vendor is the norm. Most firms run Harvey + CoCounsel + a CLM (Ironclad / Spellbook) rather than betting on one.
What This Means for AI Visibility
Legal AI agents pull heavily from a brand's own knowledge base, public regulatory filings, and licensed legal databases. Brands selling into law firms or in-house counsel need their content reachable to these systems through MCP servers, structured data, and licensed-corpus inclusion. Brands ignoring this surface end up mis-represented or omitted in the answers lawyers act on.
Methodology
Funding and ARR data combine PR News Legal Tech AI Visibility Index 2026, Viewpoint Analysis legal AI software 2026, BuildMVPFast's Harvey/Spellbook ROI analysis, and GC AI's best-tools-for-in-house-counsel guide (2026). Harvey's funding cadence is reconciled to public filings.
How Presenc AI Helps
Legal AI vendors and law firms use Presenc AI to monitor how their products, case names, and regulatory citations appear inside ChatGPT, Claude, Gemini, and Perplexity. As Harvey and CoCounsel absorb more of the in-firm research workflow, the brands cited by these systems shape downstream legal decisions.