Case Studies

Challenge

A boutique law firm with 2 attorneys was losing 10-12 billable hours per week manually searching through case precedents, client contracts, and internal work product stored across email, shared drives, and old case files. The firm had accumulated 15 years of valuable research and client materials, but it was essentially "lost" in unorganized digital storage.

Solution

We built a RAG system that indexed their entire legal knowledge base (5,000+ documents: cases, contracts, memos, precedents). Connected it to a private Weaviate vector database. Lawyers now ask natural language questions and get exact answers in seconds—with source documents linked.

Results

• ✓12 additional billable hours per week — turnaround on research requests dropped from 2-3 days to same-day
• ✓100% private — zero client data sent to external services; everything stays on-premise
• ✓$31,200 annual additional billable hours across both attorneys

Challenge

A gaming company with 100M+ active users struggled with legacy data infrastructure that couldn't scale. Their analytics team spent 70% of time on data quality issues rather than insights.

Solution

Architected and implemented a complete modern data stack migration from on-premise databases to Snowflake. Built 50+ dbt models for data transformation, integrated Airbyte for real-time data ingestion, and deployed Airflow for orchestration.

Results

• ✓100GB+ daily data processing with 99.9% reliability
• ✓60% reduction in data quality issues
• ✓10x faster analytics query performance
• ✓Enabled self-service analytics for 50+ stakeholders

Challenge

An e-commerce platform needed real-time visibility into customer behavior, inventory, and sales performance across 1,000+ stores to optimize pricing and inventory decisions.

Solution

Designed streaming data architecture using Databricks and BigQuery. Built real-time dashboards in Tableau that integrate data from 15+ source systems. Implemented machine learning models for demand forecasting.

Results

• ✓Real-time dashboards updating every 30 seconds
• ✓25% improvement in inventory optimization
• ✓15% increase in revenue through dynamic pricing
• ✓Executive visibility across all business metrics