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AGI Research & Dev2026

Legal Document Intelligence (RAG)

LexisGlobal Legal

Client

LexisGlobal Legal

Legal Document Intelligence (RAG)

Overview

LexisGlobal is a top-tier corporate law firm operating internationally. We transformed their rigid document storage into an interactive, reasoning cognitive engine.

The Challenge

LexisGlobal’s partners were losing thousands of billable hours annually manually extracting clauses and cross-referencing case law across a chaotic 50TB on-premise database. Standard keyword searches were failing to find semantic precedents.

The Solution

We engineered a secure, SOC2-compliant Retrieval-Augmented Generation (RAG) system using custom fine-tuned embeddings. The system semanticized 50TB of case law into a Pinecone vector database, allowing partners to instantly query complex legal logic in natural language.

Strategic Impact

"This transformation enabled LexisGlobal to shift from manual document discovery to instantaneous semantic intelligence, fundamentally altering their operational profit margins."

Business Outcomes

Eliminated 10,000+ manual review hours
Achieved sub-second query latency
Secured proprietary data locally
Increased partner case capacity by 35%

Core Features

Vector Database Architecture
Semantic Hybrid Search
Secure LLM Fine-Tuning
Multi-Tenant Access Control
Document OCR & Parsing
Natural Language UI

The LexisGlobal integration proves that cognitive enterprise memory (RAG) is not just a tool,it is an unfair competitive advantage in the legal sector.

Key Results

<1.2s

Search Latency

10k+

Hours Saved

99.4%

Accuracy

Tech Stack

PineconeLangChainOpenAI GPT-4Next.jsAWS SOC2 Enclave
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