AI-powered intelligence for every decision-maker who can't afford to be uninformed.
$500K–$750K Seed · cbrp.ai
Every GC gets outside counsel alerts. None are specific.
"I get client alerts from a lot of firms, but they are generic and they lag by days or weeks since they are being drafted by lawyers at the firm. CounselBrief is instantaneous and specific to my need."
3–5 boards, each with different exposure
"I prepare for each board meeting by Googling. For a role with this much fiduciary liability, that is insane."
Regulations change. They find out too late.
"I got hit with a $4,200 fine. The rule changed six months ago. I had no idea."
| 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.
GC AI
$555M valuation · $60M Series B · $500/seat/mo
Enterprise sales · 1,000+ legal teams
"GC AI answers questions you think to ask. CounselBrief surfaces what you should be asking about before you think to ask it."
| Diligent ($500M+) | Sells to Corp Secretary |
| AlphaSense ($4B) | $10K+/seat, for analysts |
| NACD | $2–5K/yr, education not intel |
"Nobody serves the individual director. No incumbent owns this space. A competitor building this from scratch needs 18+ months and millions."
"CB and DB serve professionals who fear being uninformed. RP proves the same platform serves a completely different buyer: the small business owner who fears the fine, the inspector, the unknown. Same intelligence engine. Same behavioral data layer. Different fear. Different price point. Different market."
US professional intelligence market
GCs + directors + compliant SMBs @ $99/mo
~100K subscribers across 3 verticals
Everything else is already built. New verticals inherit the full stack and go live in weeks, not quarters.
A competitor replicating this stack from scratch is looking at 18+ months and $2M+ in engineering investment.
We are already there. DirectorBrief required zero net-new infrastructure to launch.
Each user's company becomes an intelligence node. At signup, we scrape their company website and build a structured profile: what they do, where they operate, who their customers are, what regulatory regimes apply.
Every alert is evaluated against this model, not a generic industry bucket. "This EPA TSCA amendment impacts your polymer coatings product line" — not "this may affect manufacturing companies."
Monthly refresh keeps it current. The profile refines itself as the user engages — what they read, dwell on, and raise in the Intelligence Brief teaches the system what matters to this company. Topics accumulate across sessions and persist across devices.
Across all users, attention patterns reveal what's emerging before it's news. When 30 fintech GCs independently shift their focus to state money transmission licensing, the 31st fintech GC sees it surfaced proactively. Before they knew to look.
Cross-role correlation multiplies the signal: when a GC and a director at the same company both engage with the same regulatory development, that's a confirmation signal neither could produce alone.
Cross-vertical data is the strongest signal of all. An SMB regulatory shift detected by RegulatorPulse becomes an early warning for CounselBrief GCs in the same sector.
Both models train from the same passive signals — dwell time, alert clicks, Intelligence Brief topic triggers, scroll depth. No chat logs. No surveys. No extra work. Users engage with their briefing and the system learns. When something breaks in an area they've been tracking, they're told before they have to notice it themselves.
Harvey learns from documents.
CBRP learns from attention.
What we don't collect: AI conversation content. Ever. The AI layer is private by design. This is architecture, not policy.
Proprietary intelligence model
Cloud AI outputs + user engagement = fine-tuning dataset. Self-hosted model eliminates API cost at scale.
Sector-level reorientation detection
What's emerging before it's news.
Cross-role correlation
GC + director at same company = confirmation signal.
Known Challenges: Self-selection bias. Product must drive reconfiguration. Data meaningful at 10K+ users.
Beta with 6–12 accounts: real in-house counsel at recognizable companies.
Live, functional, demonstrating platform replicability.
Live at regulatorpulse.com. Targeting med spas, salons, gyms in Texas.
Key signal: Product-market pull without any paid acquisition.
$500K–$750K deployed into user acquisition. 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.
Bootstrap to viability first. Raise $500K–$750K at Month 6 to accelerate.
| Year 1 | Year 2 | Year 3 | Year 4* | Year 5* | |
|---|---|---|---|---|---|
| Subscription ARR | $780K | $2.6M | $5.2M | $7.6M | $10.8M |
| Ad / Sponsorship Revenue | $45K | $420K | $800K | $1.1M | $1.5M |
| Total Revenue | $825K | $3.0M | $6.0M | $8.7M | $12.3M |
| Paid Subscribers | ~950 | ~3,200 | ~6,000 | ~8,600 | ~12,000 |
| Exit Value (8x ARR) | — | $24M | $48M | $70M | $98M |
| Exit Value (12x ARR) | — | $36M | $72M | $106M | $146M |
*Year 4–5 projected based on Year 3 growth trajectory. Ad revenue assumes $3/paid sub/month for CB+DB audience, $0.75/total sub for RP — conservative given legal tech premium CPMs.
Without the raise: $483K ARR at Year 1. Ad revenue doesn't activate until Year 2–3.
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.
Months 1–6
Sonnet generates insights. Users validate. Every API dollar = training data for the model we own.
Months 6–12
Fine-tune proprietary model. Self-host. API costs drop to zero. Competitors can't buy the data.
Year 2+
Proprietary intelligence model + attention network. Cross-vertical behavioral signals no one else has.
"The subscription funds the data. The data trains the model. The model IS the moat."