# Della Financial Model AI-powered legal document review SaaS platform for law firms and large legal departments - Canonical: https://finamodel.com/startups/della - Excel download: https://finamodel.com/startup-models/della.xlsx - Category: Enterprise/Security - Model type: SaaS ARR / Valuation - Funding round: Seed - Funding: $2.5M - Founded: 2022 - Geography: Europe and the US [DECK slide 5] - Customer: B2B ## About the company Della is an AI-powered legal document-review platform for law firms and large corporate legal departments. It automates extraction, red-flag detection, legal commentary, and document summaries for due diligence, internal reviews, and reporting. The product is designed around the hierarchy and workflow of legal teams, positioning AI as a way to make contract analysis faster and more consistent. Della sells directly to firms and in-house departments through recurring platform access rather than a one-off review project. The model uses a SaaS ARR build with customer tiers or seats as the revenue drivers. Enterprise wins, contract value, expansion, retention, onboarding cost, gross margin, sales investment, and cash runway make the assumptions behind the legal-tech growth plan visible. ## What's included - 5-year monthly revenue build with stage-appropriate growth assumptions - Full P&L, headcount plan, and operating-expense schedule - Cash-flow statement, runway, and burn-rate tracking - Valuation via exit multiple with a DCF cross-check - Returns analysis with MOIC and IRR - Unit economics including CAC, LTV, payback, and cohort retention ## Product & value proposition AI contract review platform that mirrors the law-firm hierarchy (Junior → Associate → Senior → Partner) to automate scalable data extraction, red-flag detection, legal commentary generation, and market-standard assessment. Targets two primary use cases: (1) accelerating legal document review for due diligence / internal audit; (2) summarising long documents and producing reports in Excel, Word, or PDF. Differentiation from incumbents: question-answering approach (vs. similarity-detection/pre-trained models), end-to-end problem solving, network-effect AI that improves from all client interactions. ## Market - TAM: $1B - total addressable market (Europe + US) - Legal AI software market by 2026: $2B - Projected annual growth: 30% - Potential customers: 60,000 large businesses (38,000 EU law firms >250 employees + 20,000 US firms >500 employees) - Potential end-users: 2.3 million lawyers (Europe + US) ## Revenue model - Model: SaaS platform - Channels: direct sales to (a) large corporate legal departments and (b) top law firms ## Competition / moat Competitors described generically as: (a) bulk extraction tools for 10,000 similar documents, (b) deep-analysis tools for simple documents (NDAs), neither of which is end-to-end or adaptable. Moat claimed: (1) question-answering interface easy to adapt without weeks of reconfiguration; (2) cross-client network effect - every corrected question improves the AI for all users; (3) AI continuously self-improves over time. No named competitors cited. ## Team & funding ask / use of funds Team: - Christophe Frèrebeau - CEO; serial entrepreneur; founded Fundspire (acq. by eVestment 2012); exec at eVestment (acq. by Nasdaq 2017); Telecom ParisTech 2005 - Nicolas Chauville - CTO; AI/NLP expert; Quant at Nomura Alternative IM and RBS; Telecom ParisTech 2005 - Hugo Seymour - COO; Product & Legal; founded Signet Systems; Corporate Solicitor at Withers; trained at Freshfields; Oxford 2011 --- ## Recommended financial model - **Archetype + why:** B2B SaaS ARR model. Della sells a recurring-subscription platform to identifiable enterprise segments (law firms and corporate legal departments). The natural unit is seats or platform access tiers per customer. A SaaS ARR build with cohort-level retention and expansion is the right structure. - **Forecast horizon & granularity:** 5 years (Y1–Y5); monthly in Year 1, quarterly in Years 2–5. Monthly is needed in Y1 to model the sales ramp. - **Key drivers & assumptions:** *Top-of-funnel / new customers* - TAM: $1B (Europe + US) - Addressable accounts: 60,000 large businesses / top law firms - Market CAGR: 30% - Year 1 new logos: 10–20 enterprise clients; early-stage LegalTech pilots typically start with a handful of anchor accounts - Annual new-logo growth rate: 50–100% Y1→Y2, decelerating to 30% by Y5 as the market matures *Revenue per customer* - ACV (annual contract value) per customer: $30,000–$80,000 for enterprise legal teams; no pricing disclosed - Pricing tiers map to Junior / Associate / Senior / Partner feature sets; assume customers upgrade over time - Expansion / upsell rate: 10–15% net revenue expansion per cohort per year (network-effect narrative supports upsell) *Retention* - Gross logo churn: 10–15% annually (early-stage enterprise; no data) - Net revenue retention: 100–115% (expansion offsets some churn) *Gross margin* - Gross margin: 70–80%; AI/NLP infrastructure costs are the main COGS; typical SaaS enterprise GM range *Sales & marketing* - CAC: $15,000–$40,000 per enterprise customer (direct sales motion to law firms and legal depts) - Sales cycle: 3–6 months - S&M as % of revenue: 40–60% in early years, declining as brand and network effect build *R&D and G&A* - R&D: 25–35% of revenue (NLP model investment is core) - G&A: 10–15% of revenue *Headcount* - Starting headcount: 10–15 FTEs (3 known founders + engineering/sales hires); no data in deck - Hiring plan: tied to ARR milestones - **Scenarios (Base / Bull / Bear - which variables flex):** - Bear: slower logo acquisition (5 new logos Y1), higher churn (20%), ACV at low end ($30K), GM 68% - Base: 15 new logos Y1, 12% churn, ACV $50K, GM 75%, NRR 105% - Bull: 25 new logos Y1, 8% churn, ACV $70K, GM 80%, NRR 115%, faster upsell to Partner tier - **Required sheets / outputs:** 1. Assumptions - all drivers in one place, colour-coded vs. 2. Customer Cohort Schedule - new logos by period, churn waterfall, surviving cohorts 3. ARR Bridge - opening ARR + new + expansion − churn = closing ARR (monthly Y1, quarterly Y2–Y5) 4. P&L - Revenue, COGS, Gross Profit, S&M, R&D, G&A, EBITDA, Net Income 5. Cash Flow - operating cash flow; burn rate; runway 6. Headcount Plan - FTEs by function, salaries 7. Unit Economics Summary - CAC, LTV, LTV/CAC, payback period, NRR 8. Dashboard - ARR growth, logo count, burn, runway, GM%, NRR ## Frequently asked questions ### Is the Della financial model free? Yes. The Della model is a free Excel download with live formulas. ### Can I change the assumptions? Yes. The workbook is editable and its live formulas recalculate when assumptions change.