Investor Pitch · Confidential

Crestline Global Partners

A law firm
that built AI.

We're not a legal-tech startup with a few attorney advisors. We're a global law firm that ships software — 18 AI tools designed, trained, and verified by practicing attorneys.

See the product Talk to a founder

$25B

Legal-tech market

70%

Of legal work is pattern recognition

AI tools live

4×

QoQ user growth

12-section pitch

02 Problem

03 Solution

04 Why now

05 Product

06 Market

07 Traction

08 Model

09 Competition

10 Moat

11 Team

12 The ask

02 · The Problem

Legal AI is broken
in two directions.

Founders pay partner rates for routine work that AI handles in minutes. Generic AI gives confident answers that cite cases that don't exist. Neither serves the customer.

For founders

$15–50K/yr on routine legal work.

Pre-PMF startups burn cash on contract review, NDAs, term-sheet redlines, and due diligence — all billed at $500+/hr by attorneys doing pattern-matching.

→3–6 hours for a basic NDA review
→1–2 days for due diligence on a small acquisition
→$2K+ for a cease & desist letter

For everyone else

Generic AI hallucinates the law.

Most legal-AI products are built by engineers without legal training. They invent case citations, miss jurisdictional nuance, and can't distinguish a founder-friendly term sheet from a punitive one.

→Fabricated cases (Mata v. Avianca, 2023)
→No multi-jurisdiction reasoning
→No path to a human when stakes get real

03 · The Solution

AI for the routine.
Attorneys for the complex.

Every CrestlineAI tool is designed, trained, and validated by practicing attorneys. When the AI hits its limit, our partners are one click away — same firm, same engagement.

AI handles 70% of legal work

Contract review, research, drafting, due-diligence, demand letters — pattern-recognition tasks that take minutes, not hours.

Attorneys verify the output

Every AI tool is shaped and corrected by partners with decades of experience. 93% attorney-verified accuracy on our most-used tools.

Humans take over when it matters

Negotiations, litigation, deals over $1M, regulatory strategy. Our partners are a click away — at law-firm rates, not unicorn rates.

“Pure-AI companies can't offer human escalation. Traditional firms can't offer $99/mo self-service. We're the only ones doing both.”

04 · Why Now

Three forces just collided.

Frontier models crossed the legal-reasoning bar.

Claude Opus 4 and equivalents now match associate-level performance on contract review, statutory interpretation, and case-law synthesis. That threshold was crossed in late 2025 — we are 6 months into a 5-year window where the technology works but most firms are still in denial.

Founders won't wait for partners anymore.

The first AI-native generation of operators expects software to do real work. They will not call a $700/hr partner for a vendor NDA. They want self-service tools that produce real legal documents at 2am. The behavior change is permanent.

BigLaw is structurally locked out.

Law firms run on the billable hour. AI shrinks billable hours. Cannibalization paralysis means established firms will not build this. We are a law firm and a software company at the same time — and that's a one-way door.

05 · The Product

18 tools. Zero billable hours.

Each tool replaces a specific associate-level workflow. Real government data — not just LLM guesses — ground every answer: CourtListener, SEC EDGAR, USPTO TSDR.

Tool	What it replaces	AI	Traditional
Contract Analyzer	Associate read-through + risk memo	3 min	2–4 hrs
Document Drafter	First-draft NDAs, licenses, talent contracts	2 min	3–6 hrs
Due Diligence	Compliance review with SEC EDGAR cross-check	5 min	1–2 days
Case Law Research	Westlaw/Lexis with CourtListener verification	45 sec	2–5 hrs
Cap Table Modeler	Dilution math + exit waterfall	1 min	2–4 hrs
Invoice Chaser	Escalating demand letters	2 min	1–2 hrs
Trademark Clearance	USPTO search with TSDR verification	30 sec	1–3 days

+11 more tools live: redlining, clause library, term-sheet analyzer, compliance scanner, cease & desist, content rights, entity structure, privacy policy, legal spend, and more. See the full platform →

06 · Market

A $1T market with a 70% addressable layer.

$1T

Global legal services

Thomson Reuters, 2025

$25B

Legal-tech market

28% CAGR through 2030

4.5M

US startups incorporated/yr

Each one needs legal

70%

Of legal tasks are AI-suitable

Pattern recognition

Beachhead

Funded startups (pre-seed → Series C) that can't justify $500/hr but need real legal output.

Adjacent

Solo & boutique firms that want AI leverage without paying Harvey enterprise pricing.

Expansion

Mid-market in-house counsel and VC portfolio services. Eventual white-label to other firms.

07 · Traction

Live, paid, and growing 4× a quarter.

4×

QoQ user growth

12K+

Contracts analyzed / month

93%

Attorney-verified accuracy

AI tools shipped

Global offices

Attorneys + ops

$0.04

Marginal cost / query

Live

cgp-legal.com

Shipping cadence

We ship a new tool every 2 weeks. Each one starts as a workflow one of our partners already runs by hand — we instrument it, wrap an AI loop around it, and verify the output before it ships. The product roadmap is the firm's billable-work mix.

08 · Business Model

Land at $99. Expand to $499.
Upsell to enterprise.

Subscription SaaS with a built-in attorney-escalation upsell. Marginal cost is pennies, prices are in dollars, and retention is mission-critical once a workflow is integrated.

Essentials

$99/mo

1 seat

50 queries/mo

Solo founders, freelancers, indie attorneys

Starter wedge

Where the money is

Professional

$499/mo

5 seats

500 queries/mo

Growing startups and small firms

Expansion target

Enterprise

Custom

Unlimited seats

SSO, API, on-prem

Legal departments, mid-market firms

ACV upsell

Why the math works

→Marginal cost ~$0.04/query at current Claude pricing; we charge in dollars.
→Low CAC — organic SEO, content marketing, direct outreach to startup operators we already know.
→High retention — once a workflow is integrated (templates, contacts, history), churn is hard.
→LTV expansion — startups grow up; legal needs compound; tiers upgrade.

The hidden second engine

When AI hands a matter to a human, we capture the engagement inside the same product. That makes us a law-firm-with-AI for Series B+ companies — high-margin work at law-firm hourly rates, sourced for free by the SaaS funnel.

We don't need this revenue to make the SaaS unit economics work — but it's the second flywheel that makes us un-cloneable.

09 · Competition

Nobody else is on both sides.

Capability	CGP Legal	Harvey AI	Clio	LegalZoom	ChatGPT
Built by practicing attorneys
Attorney escalation in-product
Verified citations (CourtListener)		?
Startup pricing under $500/mo
Multi-jurisdictional (US/UK/EU/IL)
Domain focus: ent / media / tech

Harvey is BigLaw-only and enterprise-priced. Clio is practice management, not AI reasoning. LegalZoom is template fill-in. ChatGPT hallucinates case law. Nobody combines AI tooling with a real law firm at startup pricing — that's the gap.

10 · The Moat

Four moats. Compounding.

The attorney verification flywheel

Every AI output is reviewed by a practicing attorney. Their corrections become training signal. Better signal → better outputs → more users → more correction data. Pure-AI competitors can't replicate the loop.

Domain specialization

Entertainment, media, and technology law — not everything. We know the players, the deal structures, and the edge cases. Generalists will always be one step behind on the work that pays the most.

The hybrid model is structurally rare

Tech companies can't get a bar license. Law firms can't ship software (and won't cannibalize their hourly revenue). We're a regulatory and cultural moat that takes years to build.

Global presence, day one

Four offices across SF, NYC, London, Tel Aviv. Cross-border work is built in, not bolted on. That makes us the natural partner for companies expanding outside the US.

11 · Team

Founders who've done both jobs.

Four founding partners, four offices, three jurisdictions. Decades of practice across entertainment, AI, IP, and cross-border deals — now writing the prompts and training the models themselves.

Sarah Whitfield

Entertainment & Media

20+ years advising studios, streamers and talent on distribution, IP and rights deals.

J.D., Stanford Law School · San Francisco

Julian Marks

Emerging Tech & Venture

Industry counsel to AI startups and VCs; focuses on policy, investments and token economics.

J.D., Columbia Law School · New York City

Eleanor James

IP & Brand Strategy

Veteran IP strategist with deep experience in fashion, gaming and film trademark portfolios.

LL.M., University of Cambridge · London

Ravi Deshmukh

Global Transactions

Cross-border deal lead for strategic M&A and joint ventures across media and tech.

J.D., Harvard Law School · New York City, London

Offices · SF, NYC, London, Tel Aviv

Attorneys & ops shipping daily

AI verification attorneys hiring

12 · The Ask

We're raising to compound the verification flywheel.

Looking for partners who understand that legal AI is inevitable but quality wins, that startups are radically underserved, and that the hybrid model is a one-way door.

40%

Model + verification

More attorney verification, fine-tuning, new practice areas, evals.

30%

Sales & marketing

Accelerator partnerships, VC portfolio bundles, content engine.

20%

Engineering

Job queue, API/SDK for enterprise, integrations (DocuSign, Workspace).

10%

Hiring

5 AI verification attorneys, 2 senior engineers.

The conversation we want to have.

If you're an investor, accelerator, or strategic partner who gets the thesis — let's talk. We're not pitching every fund; we're looking for the few who'll compound with us.

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