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Yellow Pad,
AI legal document drafting for modern law firms

Yellow Pad — AI Case Study

AI-powered legal document platform that automates drafting with intelligent templates and smart suggestions for legal professionals.

Client
Woyce
AI
Engagement
Design + Build
Full delivery
Year
2024
Delivered
Team
Woyce
4 disciplines
Stack
React.js · Node.js
+ 4 more
Status
● Live
In production
🔒 yellowpad.ai/
Yellow Pad – 1
Yellow Pad – 2
Yellow Pad – 3
Yellow Pad – 4
YellowPad
01 / 04
The outcomes

Three numbers that
tell the story upfront.

01Faster first
10×

Faster first draft generation

AI-powered legal document platform that automates drafting with intelligent templates and smart suggestions for legal pr…

02Legal templates
200+

Legal templates available

AI-powered legal document platform that automates drafting with intelligent templates and smart suggestions for legal pr…

03Reduction in
40%

Reduction in revision cycles

AI-powered legal document platform that automates drafting with intelligent templates and smart suggestions for legal pr…

Want the full story? Keep scrolling for the problem we solved, what we built, and the results it delivered.
03 / 05
The problem

Before we got here,
here's what wasn't working.

Yellow Pad is an AI-first legal document automation platform. Lawyers describe what they need in plain English; the platform generates jurisdiction-aware drafts using LangChain + OpenAI, with clause-level editing, version history, and client collaboration built in.

“Jurisdiction-specific legal accuracy requirements”
— A core challenge we solved

We confirmed every challenge with the team before writing a line of production code. The right column lists the pain points we tackled head-on and how we approached each one.

What wasn't working

BEFORE

Jurisdiction-specific legal accuracy requirements

Built a RAG pipeline that retrieves relevant statutory references per jurisdiction before generating any clause.

#1
What they came to us with“We need this solved. Can you help?”
03b / 05
Our approach

Don't over-engineer.
Solve what matters, ship fast.

The instinct on complex projects is to rebuild everything from scratch. We pushed back. A full rewrite often means months of regressions while engineering rebuilds features that were already working.

We mapped the existing workflow against actual usage. The result was clear: a small set of features accounted for the majority of user time. We rebuilt the core, shipped fast, and extended outward.

Operating principleSolve the highest-leverage problems first. Validate before building. Ship a v1 that proves the concept, then iterate — rather than waiting for a perfect v1 that never ships.

On the technical side, we made clear decisions early and held them. The right column shows what we chose, and why.

4 decisions we made early

CHOSEN / REJECTED
Decision 01

AI Document Generation — how we built it

Chose

Custom AI Document Generation — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

Decision 02

Clause-level Editing & Suggestions — how we built it

Chose

Custom Clause-level Editing & Suggestions — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

Decision 03

Template Library — how we built it

Chose

Custom Template Library — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

Decision 04

Client Collaboration Portal — how we built it

Chose

Custom Client Collaboration Portal — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

04 / 05
What we built

4 features that
define the product experience.

Every feature was scoped and shipped with the same priorities: speed, reliability, and staying out of the user's way.

AI/AI Document Generation
AI Document Generation
AIActive
DocumentRunning
GenerationReady
10× — Faster first draft generation
FEATURE 01

AI Document Generation

Generates NDAs, contracts, briefs, and motions from natural language prompts in under 30 seconds.

10×Faster first draft generation
AI/Clause-level Editing & Sugge…
Clause-level Editing & Suggestions
Clause-levelActive
EditingRunning
&Ready
200+ — Legal templates available
FEATURE 02

Clause-level Editing & Suggestions

Inline AI suggestions for improving clarity, legal precision, and jurisdiction compliance.

200+Legal templates available
AI/Template Library
Template Library
TemplateActive
LibraryRunning
LayerReady
40% — Reduction in revision cycles
FEATURE 03

Template Library

200+ jurisdiction-specific legal templates with smart variable substitution.

40%Reduction in revision cycles
AI/Client Collaboration Portal
Client Collaboration Portal
ClientActive
CollaborationRunning
PortalReady
FEATURE 04

Client Collaboration Portal

Clients can review, comment, and approve documents without needing a login via magic-link access.

05 / 05
The outcome

What changed,
measured against the day-one baseline.

We benchmark before we touch anything, logging every metric below against its state before we wrote a line of production code.

Metric
Baseline
After Woyce
Faster first draft generationYellow Pad · AI
Legacy
10×
Legal templates availableYellow Pad · AI
Legacy
200+
Reduction in revision cyclesYellow Pad · AI
Legacy
40%
Live project
Yellow Pad
yellowpad.ai/
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