LOADING_SYSTEM...
WORK / CASE STUDIES
AI
NATURAL LANGUAGE PROCESSING TOOL FOR COMPLEX LEGAL AUDIT AUTOMATION.
YEAR / 2025
85%
AUDIT SPEEDUP
99%
ACCURACY RATE
01 / THE BRIEF
What needed
to be built.
CLIENT
Synapse Corp
LOCATION
San Francisco, CA
DURATION
5 months
YEAR
2025
Synapse Corp needed a way to automate complex legal audits that were previously handled manually by teams of lawyers. The challenge was to translate dense legal jargon into actionable insights while maintaining strict data privacy.
We developed an on-premise AI deployment with a minimalist, document-first interface designed for high-focus legal work. The system uses advanced LLMs to process legal documents with high accuracy.
"THE SYSTEM THEY HAD WAS COSTING THEM TRADES. WE ARCHITECTED A SOLUTION THAT RECLAIMED THEIR EDGE."
02 / THE CHALLENGE
The system they had
was costing them trades.
Manual legal audits were slow, expensive, and prone to human error. Translating dense legal jargon into actionable insights required a high level of expertise and time.
- •
Slow and expensive manual legal audit processes
- •
Difficulty in translating dense legal jargon into insights
- •
Strict data privacy requirements for legal documents
03 / THE SOLUTION
Rebuilt from the
query layer up.
We built an on-premise AI platform using custom-trained LLMs. The interface was designed to be minimalist and document-focused, allowing lawyers to work efficiently with AI-generated insights.
- •
On-premise AI for maximum data privacy
- •
Custom-trained LLMs for legal jargon translation
- •
Document-first interface for high-focus work
04 / THE ALPHA ADVANTAGE
The Alpha
Advantage.
85%
AUDIT SPEEDUP
99%
ACCURACY RATE
5 months
DEVELOPMENT
05 / ARCHITECTURE
Platform Architecture.
We engineered a high-performance distributed system using a custom message broker and a specialized query layer. The architecture is designed for zero downtime and sub-ms internal communication.
06 / INTERFACE
User Interface Design.
The interface was designed with a focus on cognitive load reduction. We used a brutalist design language to create a high-clarity environment for complex technical work, prioritizing data visibility and structural hierarchy.