Caseflood.ai

What do they actually do

Caseflood.ai provides an AI intake assistant for law firms that responds to new inquiries, asks basic qualifying questions, and books or routes initial consultations. It captures contact details and matter type, schedules with the right attorney or intake staff, and produces a short summary so the team can follow up quickly.

The product focuses on first‑response and triage rather than legal advice. Typical workflows include website chat or form capture, automated follow‑ups if a lead goes quiet, calendar integration for booking, a fast human handoff path when judgment is needed, and simple exports or CRM connections so firms can track leads without extra data entry.

Who are their target customer(s)

• Solo practitioners and very small firms: They struggle to answer every inquiry promptly while juggling client work and admin, leading to missed calls, slow responses, and lost consultations.
• High‑volume plaintiff firms (e.g., personal injury): They receive many leads and need rapid triage to separate qualified cases from low‑value contacts; manual sorting and scheduling consume staff time and allow good opportunities to slip.
• Mid‑size firms with a centralized intake team: Intake is often inconsistent and manual across partners or offices, causing slow handoffs, duplicated work, and poor visibility into which leads convert.
• Boutique specialty practices (family law, immigration, employment): They need accurate, nuanced intake to catch eligibility and urgency; poorly qualified leads waste attorney time and can raise ethical or compliance concerns.
• Law‑firm marketers and lead‑generation agencies: They need reliable capture and routing to prove channel performance; inconsistent follow‑up and tracking make conversion reporting noisy.

How would they acquire their first 10, 50, and 100 customers

• First 10: Personal outreach to early adopters (YC network, lawyer friends, warm intros to solo and plaintiff firms) with hands‑on pilots and white‑glove setup in exchange for feedback and a testimonial.
• First 50: Leverage early case studies to do targeted outbound to similar firms and test partnerships with legal marketing agencies and local bar groups; offer low‑friction demos and short trials on real inbound leads.
• First 100: Scale via channel partners and resellers (practice‑management vendors, lead‑gen agencies) plus self‑serve onboarding and templates by practice area; add steady content/SEO and legal‑tech conference presence to feed both partner and direct pipelines.

What is the rough total addressable market

Top-down context:

Focus is the US law‑firm intake/lead‑response software category, a subset of legal services spend. This model frames TAM by firm counts and realistic per‑firm pricing rather than broad industry revenue.

Bottom-up calculation:

Using a US‑focused base scenario with assumed firm counts and ARPA by size, the bottom‑up TAM is approximately $480M/year (solos $180M + small $120M + mid $120M + large $60M).

Assumptions:

• US‑focused counts: ~300k solos, 100k small (2–10 attys), 10k mid (11–100), 1k large (100+).
• ARPA by size: solos $600, small $1,200, mid $12,000, large $60,000 for an AI intake assistant.
• Scope limited to inbound intake/qualification SaaS; excludes agency services from core TAM.

Who are some of their notable competitors

• Smith.ai: Hybrid human + AI virtual receptionist for calls and chats that captures intake, schedules, and hands off; overlaps on fast first response but emphasizes live reception plus automation.
• LawDroid: Law‑specific chatbots and intake automations; close on legal vertical fit and tailored flows, often delivered as configurable bots rather than a turnkey AI intake team.
• Clio Grow: Client intake and CRM connected to Clio’s practice management; competes on intake‑to‑case continuity more than on conversational AI‑led qualification.
• Conversica: AI lead engagement assistant used across industries to message, qualify, and book meetings; not law‑specific but directly comparable on automated lead qualification.
• Lead Docket: Lead management and intake for high‑volume practices, with routing and analytics; strong on volume workflows and tracking rather than conversational AI.