Zan Digital › Companies
Harvey
Every piece of Zan Digital analysis that covers Harvey — 10 pieces, each figure traced to a named source.
- 001The SaaSpocalypse: How Software Lost Its Valuation PremiumEarly 2026 erased hundreds of billions in software market cap on the bet that AI replaces SaaS. What happened, and whether the repricing was rational.Q1 2026
- 002AI Moats in 2026: Integration Depth Beats Model DepthThe top 4 AI labs sit within 25 Elo points of each other. Model quality no longer separates products. Integration depth does, and here is the evidence.25 Elo
- 003Data Moats Are Overrated. Workflow Moats Are NotMost proprietary data can be bought or approximated. Palantir grew US commercial revenue 149% in Q2 2026 by owning the workflow, not the data corpus.149%
- 004Harvey vs Thomson Reuters: The First Real Incumbent TestHarvey reached an $11B valuation on roughly $190M ARR selling against legal research incumbents. Whether the displacement is real, or additive, on the numbers.$11B
- 005Incumbent Advantage: Why Worse Enterprise AI Keeps WinningGiven a free choice, just 8% of workers pick Copilot. Given only Copilot, 68% adopt it. Here is the incumbent advantage machine, and how challengers break it.8%
- 006Point Solutions: 3 Escape Routes From the SqueezeBuyers promised consolidation. In 2026 the average SaaS portfolio shrank 0.07% while multiples fell to 3.3x revenue. Three escape routes for point solutions.0.07%
- 007Services-as-Software: Selling Outcomes, Not LicencesAI lets vendors deliver what used to be consulting hours as a productised service. How the margins, sales motion and liability all change, with worked pricing.~$190M
- 008Vertical AI Is Eating Horizontal SaaS. The EvidenceVertical AI winners share three patterns: permissioned data, outcome selling and workflow depth. What the playbook is, and where the argument breaks down.~$4.3B
- 009Why 'AI Wrapper' Became the Laziest Insult in SoftwareWrapper is used to dismiss any product built on a foundation model. Distribution, workflow and data rights beat model access. The case for the defence.~$190M
- 010Harvey vs Legora vs General AI: A Use-Case ScorecardLegal AI and general assistants both hit 80% research accuracy against a 71% lawyer baseline. How to score Harvey, Legora and ChatGPT by use case.80% vs 71%