AI · Document IntelligenceSynapse

Giving a global law firm a 10× productivity advantage with AI.

AI that turns unstructured data into business intelligence.

89%

Faster document review

50K

Documents processed daily

97.3%

Extraction accuracy

10×

Productivity gain

01

The Challenge

The firm's lawyers were spending 60% of their time on document review — reading contracts, identifying risk clauses, and summarising case files. This was expensive, slow, and error-prone.

02

Our Solution

We built a RAG-based document intelligence platform using GPT-4 and a custom fine-tuned model for legal entity extraction. Documents are embedded into a vector database, enabling semantic search and automated clause identification across millions of files.

03

The Outcome

Document review time reduced by 89%. Lawyers now spend 85% of their time on high-value work. The platform processes 50K documents per day with 97.3% extraction accuracy.

Tech Stack

GPT-4RAGVector DBFine-tuningPythonFastAPI

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