AI-powered intelligence for every decision-maker who can't afford to be uninformed.
$1–$1.25M Seed · cbrp.ai
"Entire classes of jobs will go away."
Sam Altman · CEO, OpenAI
"AI is capable of doing all of our jobs — my own included."
Sebastian Siemiatkowski · CEO, Klarna
"Those people will lose their jobs, and that'll be better done by an AI."
Sam Altman · CEO, OpenAI
"Within four years, AI will be smart enough to do most cognitive work — any job done with a laptop."
TIME Magazine · AI Leaders Survey
"AI will eliminate 50% of all entry-level white-collar jobs within one to five years — lawyers, consultants, financial professionals."
Dario Amodei · CEO, Anthropic · Jan 2026
These are the people building it. They're not guessing.
The Answer Isn't Less Human
The professionals who survive won't be the ones replaced by AI.
They'll be the ones AI made sharper.
In-house counsel, always ahead. Personalized legal intelligence that keeps you informed before it matters.
Associates who can't be replaced. Judgment training built from real legal developments.
Directors who can't afford blind spots. Fiduciary duty, amplified.
Human-first. AI-powered. Built to sharpen, not replace.
AI is eliminating the repetitive work that built pattern recognition. Associates who would have spent 5 years learning judgment through document review now have that path automated away. The apprenticeship that made senior lawyers isn't available to the next generation.
97% of GCs report increasing work volume. New regulations are the #1 driver. The rate of change is outpacing human bandwidth — not just for junior lawyers, but for the experienced ones AI was supposed to help.
FTI/Relativity General Counsel Report, Feb 2026
The legal AI ecosystem is building execution tools (Harvey, Ironclad, CoCounsel). Nobody is building the judgment layer these tools need to be pointed at the right problems. The company that captures this preference data first owns the integration layer.
This window closes. Once execution tools commoditize, the judgment layer becomes the bottleneck. First mover owns the data.
| Harvey | Focused on contract execution and AI-assisted drafting |
| GC AI | Focused on document interaction and retrieval |
| CoCounsel | Focused on legal research workflows |
| Ironclad | Focused on contract lifecycle management |
| Diligent | Focused on board materials and governance process |
Their focus is execution. They make work faster. They don't help you think better.
| Proactive | Surfaces what matters before you ask |
| Role-aware | Same regulation, different framing for different roles |
| Contextual | Knows your companies, committees, jurisdiction |
| Networked | Learns from collective attention patterns |
This layer doesn't exist yet. CBRP is building it.
US professional intelligence market
GCs + directors + compliant SMBs @ $99/mo
~100K subscribers across 3 verticals
Personalized legal intelligence for in-house counsel. Practical applications built from real developments. Company-specific briefings. Every scored interaction builds a portable Judgment Profile. 100K+ US GCs as addressable market.
Judgment training for associates and junior counsel. Same engine, new persona. Direct subscriptions + sandboxed law firm deployment (their API key, their data). CLE credit potential.
Cross-board intelligence for directors. Committee-contextualized alerts. 50K+ US public board seats. D&O claim severity up 27% — the standard is rising.
Compliance intelligence for 33M+ US small businesses. The volume play: same engine scales across verticals. Each vertical teaches the engine something the next one inherits.
Same engine. New persona. Weeks, not months.
Each user's company becomes an intelligence node. At signup, we build a structured profile: what they do, where they operate, what regulations apply. Every alert is evaluated against this model. "This EPA amendment impacts your polymer coatings product line," not "this may affect manufacturing." Cold start drops from months to weeks.
Across all users, attention patterns reveal what's emerging before it's news. When 30 fintech GCs shift focus to state money transmission licensing, the 31st sees it proactively. Cross-role correlation multiplies: GC + director at same company engaging the same development = confirmation signal neither produces alone.
Both models train from passive signals — dwell time, clicks, scroll depth. No chat logs. No surveys. Users engage with their briefing and the system learns.
Harvey learns from documents.
CBRP learns from judgment.
$1–$1.25M deployed into user acquisition and team. Targeted: GCs, directors, regulated businesses. Quality audience from day one.
Subscribers generate behavioral data. Behavioral data makes personalization better. Better personalization reduces churn. Lower churn makes acquisition economics better.
Collective attention signals detect emerging issues before they're news. The product improves as users engage. Data moat widens with every subscriber.
A quality audience of GCs, board directors, and compliance officers is worth $50–$200 CPM to the right advertisers: legal tech, D&O insurers, compliance platforms. At 10K subscribers: $500K–$2M annual ad revenue layer on top of subscription.
This isn't a volume play. A GC audience converts at 10–20x the CPM of a consumer audience. We don't need millions of readers. We need the right thousands.
CEO & Founder
28 years in BigLaw, including equity partnership. Saw firsthand how judgment is built — and how the apprenticeship model is breaking. Built all four CBRP products. Domain expertise that can't be hired.
Full-stack/backend
Month 1 · $12–15K/mo
Frontend/infra
Month 2–3 · $10–12K/mo
Editorial & compliance
Month 3 · $6–8K/mo
The founder built the product because he lived the problem for 28 years.
Key signal: Product-market pull without paid acquisition.
| Year 1 | Year 2 | Year 3 | |
|---|---|---|---|
| Subscription ARR | $780K | $2.6M | $5.2M |
| Total Revenue | $825K | $3.0M | $6.0M |
| Paid Subscribers | ~950 | ~3,200 | ~6,000 |
Bootstrap gets you there eventually. The raise gets you there while the market is open.
CBRP Co. | cbrp.ai | Intelligence, Routed.
12-month
500 paying CB subscribers @ $99/mo avg = $594K ARR. Unit economics proven.
18-month
DirectorBrief at 150+ paying directors. CFOBrief launched. Total ARR $1.2M+.
24-month
4 verticals live. Attention network data self-reinforcing. Series A ready at $5M+ ARR.
50% — User Acquisition
$500–625K
30% — Team
$300–375K
15% — Content Engine
$150–188K
5% — Operations
$50–62K
"The subscription funds the data. The data trains the model. The model IS the moat."