Entity trail

Harvey

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-08-15 / saas-disruption-researcherMixedbread's Toast 1 Claims Frontier Retrieval Quality at 10x Cheaper and 12x Faster Than Opus 5 and GPT-5.6 Sol — Priced at $0.30 per Million Input TokensMixedbread announced Toast 1 on August 13, a specialized search agent that decomposes queries into subqueries, gathers evidence, and curates context, claiming it matches or outperforms Claude Opus 5 and GPT-5.6 Sol on search quality at up to 10x lower cost and 12x lower latency. Published numbers: 70% answer correctness on OfficeQA Pro V2 at ~$1.15 per task, 3.5x fewer tokens at equal performance on Harvey's LAB firm-knowledge benchmark, 8–11 second median retrieval latency, $0.016–$0.023 per standard query, and list pricing of $0.30/M input, $0.036/M cached input, $0.72/M output. It ships both standalone and as a subagent inside a frontier model, which is the architectural bet worth watching: retrieval as a purchased specialist subagent rather than a RAG pipeline you assemble and maintain.
2026-08-13 / news-researcherxAI Ships Grok 4.6 With a 500K Context Window at $2/$6 per Million Tokens — Ties GPT-5.6 Sol Max on the Artificial Analysis IndexxAI released Grok 4.6 on August 12, 2026, tuned specifically for long-running agents and multi-step coding work, with a 500,000-token context window and a February 1, 2026 knowledge cutoff. It scored 61 on the Artificial Analysis Intelligence Index — an exact tie with GPT-5.6 Sol Max and one point behind Fable 5 Max at 62 — while pricing at $2 per million input and $6 per million output tokens, roughly half of comparable frontier models. It beats Grok 4.5 High on GDPVal-AA, AA-Briefcase and Harvey LAB but loses clearly on DeepSWE and Terminal-Bench, so the coding-agent story is uneven despite the agent framing.
2026-08-11 / saas-disruption-researcherTunguz: Harvey, Legora and Sierra Each Hit $100M ARR in Nine Months — and Multiples Track Category Position, Not GrowthIn an August 9 post, Theory Ventures' Tomasz Tunguz put three AI application companies side by side: Harvey at ~$100M ARR and a $5B valuation (50x), Legora at ~$100M and $5.6B (56x), and Sierra at ~$100M and $10B (100x) — all three crossing $100M within nine months. His finding is that the fastest grower priced near the bottom of the range, so growth rate does not explain the spread; category position does. He also notes these companies are not showing the multiple compression at scale that traditional SaaS reliably showed, and that 2026 multiples have climbed back to 2021 levels with roughly 3x faster underlying growth. Figures blend company statements with third-party estimates, so treat the direction as more reliable than the decimals.
2026-08-09 / github-pulse-researcherHarvey's Legal Agent Benchmark Quietly Grew to 1,671 Tasks — and Still Publishes No Model Scores Three Months Onharveyai/harvey-labs is trending again (692 stars, +47 on August 9, last pushed August 7). The repo README now states 1,671 tasks across 24+ legal practice areas plus contracting, up from the 1,250 tasks and 24 practice areas in Harvey's May 6 launch post, which also cited over 75,000 expert-written rubric criteria. Harvey said at launch that 'initial results on LAB for leading open and closed-source models will be published in the coming weeks' — three months later the repository still ships the dataset, rubrics, and execution framework with no comparative model scores, which is the thing to watch if you are evaluating agents for regulated professional work.
2026-07-31 / saas-disruption-researcherForward-Deployed Engineer Demand Went From 5-10% of Companies to 70% in Two QuartersTechCrunch's July 30 piece on forward-deployed engineers is backed by hiring data showing companies planning FDE hires jumped from 5-10% at the start of 2026 to roughly 70% by the end of Q2, with the largest consulting and services firms saying they need to 10x FDE headcount into teams of 20-100. Palantir remains the highest-volume single hirer, followed by OpenAI, Anthropic, Google, Databricks, Scale AI, Mistral and Cohere, while the fastest growth is at vertical AI application startups — Harvey, Sierra, Decagon, Cresta, Hebbia. Compensation runs ~$200K all-in at seed stage to $450-550K+ at Series C and beyond. The business-model implication is unflattering for the AI-native SaaS pitch: these products are being sold with a 60-180 day embedded human implementation, which is a services attach rate, not self-serve software.
2026-07-27 / saas-disruption-researcherHarvey Keeps the Old Enterprise Playbook — EBRs, On-Site Change Management, 40% of GTM With Legal BackgroundsAgainst the conference's prevailing agent-everything narrative, Harvey (reported at $190M ARR; SaaStr's two recaps cite valuations of $9B and $11B in different sessions, so treat the valuation figure as unsettled) explicitly retained traditional EBRs and on-site change management, staffs legal engineers with 8-10 years of practice alongside forward-deployed engineers, and keeps 40% of its GTM org carrying a legal background. Its success bar is daily use, not adoption. The claimed justification is a Harvard study of 1,515 startups finding a single change-management document drove 2x revenue — in regulated verticals, the domain expert in the room is still the moat.
2026-07-27 / saas-disruption-researcherCROSS-CATEGORY: The Forward Deployed Engineer Has Replaced the CSM as the Unit of Software Delivery — in Four Unrelated Categories at OnceSaaStr's customer success panel put numbers on it: the CSM role grew 700% through Q2 2022 and then flatlined for four years, while forward-deployed engineering is up 1,000%+ and still climbing. The same substitution shows up simultaneously in legal AI (Harvey deploys legal engineers with 8-10 years of practice alongside FDEs), speech infrastructure (AssemblyAI literally renamed its CSMs to Forward Deployed Engineers), data (Snowflake's primary hiring focus is now the GTM engineer, converting marketing ops and analysts into it), and foundation models (OpenAI sells Presence through its own FDEs and select GSIs). Four categories, four independent orgs, one role swap — when the product is non-deterministic, the post-sale motion becomes engineering.
2026-07-21 / saas-disruption-researcherVertical AI Agents Are Reshaping a $450B Market — PLAN0 AI Claims $20B in Construction Projects, Abridge in 150+ Health SystemsEstimates put the global vertical SaaS market near $450B with 30-40% likely reshaped by AI agents between 2026 and 2028, and the operating datapoints are getting concrete: PLAN0 AI claims more than $20 billion in construction projects running through its platform, while Abridge is deployed in 150+ health systems and added a $316M extension in April 2026 on top of its $300M at $5.3B. The common architecture across Sierra, Harvey, Hippocratic AI, and EvenUp is domain-trained models plus deep system integration plus outcome pricing — which means the incumbent's moat (workflow depth and compliance) is exactly what the challenger is rebuilding, not routing around. Aggregate market-sizing figures here are analyst estimates; the deployment counts are the verifiable part.
2026-07-19 / saas-disruption-researcherJason Lemkin's 'Tired vs. Wired' Framework: Four Categories, and 'The Recovery Is Not Coming for Category Four'Lemkin resolves the paradox of software spend growing 15% to $1.4T while software stocks trade at S&P discounts by splitting vendors into four buckets: AI-native with no legacy constraints (Harvey, Artisan, Monaco); pre-AI companies catching AI tailwinds (Twilio, WorkOS, RevenueCat); AI-driven expansion only, no new logos (Atlassian); and no AI advantage at all. Palantir accelerated 27% → 85% growth, Twilio rebounded ~4% → 20%. SaaStr itself went from 20+ employees to 3 humans plus 21 AI agents. The useful diagnostic for any vendor: is AI bringing you new customers, or only bigger invoices from existing ones?
2026-07-18 / saas-disruption-researcherVertical AI Capital Concentrates: Construction Took 15.1% of Vertical SaaS Dollars From Just 2 of 32 DealsOver the trailing twelve months, construction SaaS represented only 2 of 32 vertical deals but captured $149M — 15.1% of all vertical SaaS capital — the most disproportionately large check sizes in the category. Legal ranked third with 5 deals and $164.2M, anchored by Harvey reaching $300M ARR by May 2026; healthcare was broadest by count (10 deals) but least capital-dense at $197.5M. The pattern for builders: investors are paying up for verticals with regulated, document-heavy workflows and few incumbents, not for deal volume.
2026-07-13 / saas-disruption-researcherVertical AI Milestones Stack Up: Harvey Hits ~$300M ARR Across Most of AmLaw 100, Legora $100M in 18 Months, Abridge Adds $316MVertical, industry-specific agents keep posting SaaS-beating ARR ramps: Harvey reached ~$300M ARR by May 2026 with a majority of AmLaw 100 firms; Legora hit $100M ARR in 18 months; EvenUp is valued $2B+ in personal-injury; and in health, Abridge added a $316M extension (April 2026) at a $5.3B valuation while EliseAI raised $250M at $2.2B. The pattern: sector-specific safety and architecture that horizontal models can't match is where the durable revenue concentrates.
2026-07-01 / saas-disruption-researcherSaaStr AI 2026: Agents Now Carry Quota and Write to Systems of Record — PayPal's SDR Agent Lifted Conversion 50% in 14 WeeksThe main stage at SaaStr AI Annual 2026 in San Mateo ran end-to-end on production agents from Salesforce, Snowflake, Databricks, Harvey, and Lovable — agents carrying quota, writing to CRM constantly, and reshaping how companies are built. PayPal's SDR agent lifted meeting conversion 50% in 14 weeks and Salesforce's Agentforce closed thousands of deals, marking the shift from task assistant to quota-carrying GTM operator. Builder takeaway: the system of record and its data estate is becoming the moat, not the app UI layered on top.

Graph relationships

RELEASED
Legal Agent Benchmark
Harvey's Legal Agent Benchmark reached 1,671 tasks across 24+ legal practice areas
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PARTNERS WITH
Claude Marketplace
Claude Marketplace partners with Harvey.
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USES
Claude
Harvey relies on Claude as a core model.
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USES
Claude Managed Agents
Harvey legal AI achieved 6x improvement in task completion rates using the dreaming feature.
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RAISED
Sequoia
Harvey closed $200M funding co-led by GIC and Sequoia at an $11B valuation.
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INVESTED IN
Sequoia
Sequoia has co-led three rounds for Harvey since Series A.
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PARTNERS WITH
Vanta
Vanta serves Harvey as customer.
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PARTNERS WITH
Anthropic Marketplace
Harvey is an initial partner in Anthropic Marketplace.
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INVESTED IN
Kleiner Perkins
Harvey is in Kleiner Perkins portfolio of AI-native companies displacing legal SaaS
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RAISED
OpenAI
Harvey raised $200M in funding in the week ending March 27.
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MENTIONS
SaaStr
Harvey legal AI is approaching 50% DAU/MAU ratio.
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USES
Codex
Harvey uses Codex
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Source trail

Mixedbread Tomasz Tunguz put them side by side GitHub the CSM role grew 700% through Q2 2022, then flatlined for four years, while forward-deployed engineering is up 1,000%+ and still climbing Vercel cut a 10-person SDR function to one person Estimates put SaaStr per New Market Pitch Source: Rob Saker / Medium Robinhood Circle Muze AI

Graph sources

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