8 steps · 60+ sources cited · Ends with a buildable spec

From idea to investor-grade research to buildable spec

DeepVerdict runs an 8-step AI research pipeline on your startup idea. Every claim is sourced. Every step has a Go/No-Go gate. It ends with a tech spec ready for your developer — not just a verdict.

Start free — no credit card See how it works ↓
Algorithms designed by senior analysts Steps 1–2 always free No credit card required
Evidence Dashboard Competitor Matrix Market Sizing Tech Spec
Market Research: AI-Powered Legal Analytics Confidence: A
DATA The legal tech market reached $29.66B in 2024 and is projected to grow to $69.8B by 2032 (CAGR 11.3%). Source: Fortune Business Insights Grade A
DATA 78% of law firms with 100+ attorneys now use some form of AI analytics. Solo practitioners lag at 23%. Source: ABA TechReport 2025 Grade A
ESTIMATE Solo practitioner TAM for AI legal analytics: ~320K attorneys × $49/mo ARPU = $188M SAM. Methodology: BLS data × adoption curve model. Grade B
ASSUMPTION WTP for solo practitioners estimated at $29-79/mo based on comparable SaaS tools in adjacent verticals. Requires validation via survey. Grade C
8
Research steps in each pipeline
60+
Sources cited per analysis
3
Go/No-Go gates before you build
48h
From idea to buildable spec

The Problem

One-page AI reports without sources —
that's not research. That's a guess.

Most AI services give you a confident-sounding verdict with zero citations. You can't tell what's real and what's hallucinated. And then they stop — leaving you with no idea what to actually build.

01

"Where did these numbers come from?"

Other AI services give confident-sounding analysis with zero citations. You have no idea if the $2B TAM is real or hallucinated.

02

"It said BUILD. Now what?"

Most validators stop at the verdict. They don't tell you what feature to build first, what tech stack to use, or when to stop. You're left where you started.

03

"Five tools, five different answers."

Without a systematic pipeline, validation is noise. You need a repeatable process with evidence at every step — not a single AI's opinion.

How DeepVerdict Works

8 steps. 60+ sources. Ends with a file
your developer can use.

Each step builds on the last. Three automated gates catch bad ideas before you waste money. The pipeline ends with a buildable tech spec — not just a verdict.

STEP 01

Deep Market Research

Real pain clusters from 60+ sources. Evidence Dashboard with clickable citations.

● Go/No-Go Gate
STEP 02

Audience Analysis

Beachhead segment, JTBD framework. Who exactly will pay — and why.

● Go/No-Go Gate
STEP 03

Competitive Analysis

Intensity score, 3 strategic gaps, and competitor marketing activity across Google and social networks.

● Go/No-Go Gate
STEP 04

Market Sizing

TAM/SAM/SOM with full methodology and source citations. No hallucinated numbers.

STEP 05

Hypothesis Scoring

ICE-scored BUILD / PIVOT / KILL verdict based on all prior evidence.

STEP 06

Validation Plan

Concrete experiments with budgets, metrics, and success criteria. $0-200 to test.

STEP 07

MVP Planner

Sprint plan, feature priorities, tech stack recommendation, and kill criteria.

STEP 08

Tech Spec

DB schema, API routes, CLAUDE.md — a file your developer can actually build from.

→ Buildable Output
Other AI services:
← STOP
DeepVerdict:
→ BUILD

Competitive Intelligence

We don't just map your competitors — we track how they grow.

Other tools show you a list of competitors with features and pricing. DeepVerdict analyzes competitor marketing activity across Google and key social networks — showing where they promote and where they've left a gap for you.

  • 📊 Marketing channel mapping — see which advertising channels your competitors use, and which they ignore completely
  • 💡 Message analysis — what messages competitors test in their campaigns, what resonates with the audience
  • 🎯 Blue ocean channels — discover untapped advertising channels where you can become the first mover
Step 3 → Competitive Analysis → Marketing Intelligence
✅ Active in Google Search ads competing
❌ No activity on LinkedIn blue ocean
❌ No Facebook / Instagram ads blue ocean
📈 Traffic: 95% organic opportunity
🏷️ Key message: "Validate in seconds"
💡 Insight: This competitor built 300K users without paid ads. You can capture the paid channel before they do. LinkedIn and Meta are wide open.
○ Typical AI Service
"The market size is approximately $2.4 billion and growing rapidly."
No source. No methodology. No way to verify.
◉ DeepVerdict
DATA "The legal tech market reached $29.66B in 2024 (CAGR 11.3%)" — Fortune Business Insights, 2024
EST. "SAM for solo practitioners: ~$188M. Methodology: BLS attorney count × adoption curve × $49 ARPU"
Grade A–B Every number is labeled, sourced, and graded.

Evidence-First Analysis

Every claim has a source. Every source is clickable.

Our algorithms don't generate opinions — they compile evidence. Every statement is tagged as Data, Estimate, or Assumption, with a confidence grade from A (verified) to D (speculative).

Built by a team of analysts who believe startup research should meet the same standard as professional consulting — where every number has a footnote.

I've tried multiple AI validation services and even paid for a premium report. None told me where the numbers came from. DeepVerdict is the first tool where I can verify every claim myself.

— Early access founder, pre-seed stage

Beyond the Verdict

Not just "should I build" — but exactly what, how, and when to stop.

After 8 steps of evidence-backed research, DeepVerdict generates a complete technical specification: database schema, API architecture, MVP scope, and measurable kill criteria.

Hand the spec directly to your dev team, drop it into any AI coding environment, or use it as the foundation for investor conversations.

📄
PDF Research Report
Investor-ready, every claim sourced and graded
📋
Technical Specification
DB schema, API routes, MVP scope — ready to build
🎯
Kill Criteria Document
Measurable stop-conditions defined before you write a line of code
PROJECT-SPEC.md — Generated by DeepVerdict
# MyStartupIdea — Technical Specification # Generated by DeepVerdict Research Pipeline # Verdict: BUILD ✅ ICE Score: 392 / 500 ## MVP Scope (Sprint 1–2) - User authentication (OAuth + email) - Core feature: research input + results dashboard - Evidence view with source references - PDF export for stakeholders - Billing integration (Stripe) ## Recommended Stack Frontend: Next.js 15 + Tailwind CSS Backend: Node.js + PostgreSQL Auth: OAuth 2.0 (Google / GitHub) Payments: Stripe Subscriptions ## Kill Criteria — Stop building if: → < 50 signups within 14 days of launch → Free → paid conversion < 3% after 60 days → Average NPS < 30 after first use ## Core DB Schema CREATE TABLE projects ( id UUID PRIMARY KEY, owner_id UUID REFERENCES users(id), idea TEXT NOT NULL, verdict VARCHAR(10), ice_score INTEGER, created_at TIMESTAMPTZ DEFAULT NOW() );

Pricing

Start free. Upgrade when you're ready to build.

Your first two research steps are always free. See the quality of our Evidence Dashboard before paying anything.

Free

Test the depth before you commit.

$0

forever

  • Steps 1-2 (Market Research + Audience)
  • Full Evidence Dashboard for 2 steps
  • 1 pipeline per month
  • See what you're getting
Start free →
Most Popular

Starter

Full pipeline with tech spec output.

$29/mo

billed monthly

  • All 8 steps including Tech Spec
  • 3 full pipelines per month
  • PDF export + CLAUDE.md download
  • Competitor marketing analysis
  • Kill criteria + Go/No-Go gates
Get started →

Pro

For serial founders and studios.

$79/mo

billed monthly

  • Everything in Starter
  • 10 pipelines per month
  • Idea comparison mode
  • Priority processing
  • Extended competitor tracking
Get started →

Start with your first two steps — free.

Join the waitlist and be among the first founders to run a real evidence-backed research pipeline on your idea.

No credit card required. First 50 founders get full pipeline free.