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Legal 5 months

RAG Knowledge Base for LexCorp Legal Services

Built a RAG-powered legal research assistant that reduces document review time by 75% across 10M+ legal documents.

RAG Applications AI Agent Development Custom Software Development
Verified Results NDA Signed US-Based PM Fixed Price
-75%
Document Review Time
10M+
Documents Indexed
94%
Search Accuracy
+40%
Billable Hours Recovered
-75%
Document Review Time
10M+
Documents Indexed
94%
Search Accuracy
+40%
Billable Hours Recovered

The Business Challenge

LexCorp associates spent 60% of billable hours manually searching through 10M+ legal documents for case precedents and regulatory guidance. Search was keyword-only with no semantic understanding — relevant documents were routinely missed.

For many Legal organizations across the United States, this type of operational bottleneck is all too familiar. Manual processes, legacy systems, and disconnected workflows create compounding inefficiencies that cost both time and revenue — often without leadership having a clear line of sight into the true cost.

LexCorp Legal Services needed a partner who understood the technical complexity and the business urgency. Delivery speed mattered, but so did long-term maintainability, security, and the ability to scale as the business grew.

Our Solution

We built a RAG pipeline on LlamaIndex that indexes 10M+ legal documents with hybrid vector + keyword search. Associates ask questions in plain English and get cited answers with source documents in under 10 seconds.

Our engineering team architected the solution with production scalability in mind from day one — not as an afterthought. Every component was evaluated against real-world load expectations, and the system was designed to handle growth without requiring expensive re-architecture six months after launch.

We maintained weekly video demos with LexCorp Legal Services's leadership throughout the build. This meant no surprises at launch and full stakeholder alignment at every milestone. Every sprint delivered working, tested software — not just progress reports.

Our Approach

We used a chunking strategy optimized for legal document structure, hybrid embedding with text-embedding-3-large, and a re-ranking model for precision. The system includes citation verification and confidence scoring to prevent hallucination.

How We Delivered It

Every TechVerse project follows a structured delivery process designed to minimize risk, maximize transparency, and get working software in front of stakeholders as fast as possible. Here's how we approached this Legal project:

1

Discovery & Scoping

2-week paid discovery sprint with LexCorp Legal Services to map requirements, define acceptance criteria, and produce a fixed-price project plan. No surprises after sign-off.

2

Architecture & Technical Design

Senior engineers design the full technical architecture before writing production code. Every decision is documented and reviewed with stakeholders.

3

Agile Delivery in 2-Week Sprints

Working software delivered every sprint. Weekly video demos with LexCorp Legal Services leadership kept all stakeholders aligned throughout the 5 months.

4

QA, Security & Performance Testing

Every feature is tested against acceptance criteria before it is considered done. Load testing and security review happen before any production deployment.

5

Launch, Handover & Support

Structured go-live with dedicated hypercare support. Full code ownership transferred to the client along with documentation, runbooks, and knowledge transfer sessions.

Measurable Business Impact

Results were measured against pre-project baselines established during our discovery phase. Every metric below reflects documented before/after comparisons, not projections or estimates.

-75%
Document Review Time
10M+
Documents Indexed
94%
Search Accuracy
+40%
Billable Hours Recovered
520
Return on Investment
Measured within 12 months of project launch
"

Our associates can now research a complex case in 2 hours instead of 2 days. The RAG system TechVerse built is the most impactful technology investment we've made in a decade.

P
Patricia Moore
Managing Partner, LexCorp Legal Services

Why This Project Matters

The Legal sector in the United States is undergoing rapid digital transformation. Organizations that invest in custom software and AI-powered automation today are building structural advantages that will be extremely difficult for competitors to close — lower cost structures, faster response times, and better customer experiences compounding year over year.

This project for LexCorp Legal Services is a strong example of what's achievable when business requirements are clearly defined, technology choices are made deliberately, and delivery is structured around measurable outcomes rather than billable hours.

For US companies in the Legal space evaluating similar investments: the ROI case is typically clearer than expected, and the risk is manageable with the right partner and the right contract structure. Fixed-price engagements with milestone-based payments and clear acceptance criteria protect both sides and keep projects on track.

Ready to build something similar?

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Project Details

ClientLexCorp Legal Services
IndustryLegal
Timeline5 months
Team Size6
ROI520
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Technologies Used

Python FastAPI LlamaIndex OpenAI Pinecone PostgreSQL React AWS Docker Celery

Services Delivered

RAG Applications
AI Agent Development
Custom Software Development
3 slots open · AI-first development

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