Behind the Build: LEA x Reducto

How LEA Uses Reducto to Deliver Document Intelligence to Enterprise Wealth Management Firms

Key Highlights

• Processes thousands of financial documents monthly for $10B+ RIAs with a 3-person team
• Reduces manual data entry by 50% and saves 5 hours per client each month
• 65% quarterly growth in documents processed, powered by Reducto’s document AI

LEA uses Reducto to help Registered Investment Advisors (RIAs) manage thousands of sensitive financial documents with speed, accuracy, and compliance.

Everyone is excited about AI transformation, but few solutions address specific operational pain points or integrate cleanly into existing enterprise architecture. LEA’s approach is pragmatic: use AI to eliminate manual, repetitive work across wealth management operations—without forcing firms to change how they already operate.

Wealth management runs on documents. Throughout the client lifecycle, firms collect thousands of brokerage statements, tax returns, trust and estate materials, and private market investing documents. Operations teams spend their days reading, renaming, and filing files. Analysts manually enter ticker symbols, quantities, and cost basis line by line into financial planning software.

"One of our clients needs to add two full-time employees just to rename documents," says Chuck Blake, co-founder and CTO of LEA. "Firms need operational leverage—and that’s exactly what LEA provides."

The idea for LEA came when co-founder and CEO Max Klein saw his parents’ financial planning experience firsthand. The data-gathering was tedious, but the payoff from personalized financial advice was tangible. He wondered: what if documents could turn themselves into usable data—instantly?

The Search for the Right Solution

LEA launched as a two-person team—Max and Chuck—focused on customers, not infrastructure. They needed turnkey, compliant data extraction that could scale to enterprise volumes.

"From the beginning, we knew we needed to leverage the most cutting-edge document processing primitives," says Chuck. "That’s how we move fast and translate our domain expertise directly into customer value."

The search wasn’t easy. Financial data is sensitive, formats vary wildly, accuracy must be perfect, and document volume spikes during events like M&A and tax season.

One vendor required extensive training data—a non-starter for financial services. Another offered full control but required days of manual scripting per document type.

"With Reducto, we found what we were looking for: high accuracy, fast performance, and zero data sharing," says Chuck. "Integration took less than a week, and we were processing live customer documents by the end of it."

That partnership set the foundation for LEA’s growth. Reducto provides the document AI infrastructure; LEA applies deep wealth management expertise. Each company focuses on its edge, and together they move faster.

"I like the idea of going deep with Reducto," Chuck adds. "I can focus on customer problems, and rely on Reducto to bring the latest, most innovative document AI primitives to bear."

That same focus on long-term partnership extends to LEA’s own customers. By pairing Reducto’s evolving infrastructure with LEA’s domain-specific extraction and workflow automation, enterprise RIAs view LEA as their long-term document intelligence and AI partner—a trusted layer that continues to scale and improve alongside their operations.

Automating Client Intake and Organization

For wealth management firms, one of the most persistent pain points sounds mundane: document naming and organization.

Thousands of PDFs flow in—tax returns, brokerage statements, bank records—and each must be identified, renamed, and filed according to firm-specific conventions.

LEA automates the entire process. Documents are pulled directly from existing vaults, parsed by Reducto, and renamed and organized automatically according to each firm’s standards.

Many RIAs rely on Egnyte or other document vaults for cloud storage. LEA built an Egnyte app extension so that users can simply right-click “Send to LEA” and let automation handle the rest.

In the background, Reducto extracts structured data—tax year, client name, account numbers, document type—using LEA’s proprietary extraction instructions. LEA applies the firm’s naming conventions and writes the renamed file back to the vault. The result is a perfectly organized document system that stays that way automatically.

For brokerage statements, LEA goes further. Reducto parses the underlying data, enabling LEA to generate CSV exports of all holdings, which can be fed into financial planning and performance systems. LEA maintains schemas for major custodians including Fidelity, Schwab, E*TRADE, and Merrill Lynch, with dozens of production extraction models in use today.

Results: Scaling Impact Without Scaling Headcount

LEA now processes thousands of financial documents every month for RIAs managing $10B+ in assets—with a team of just three people.

The impact:

• 5 hours saved per client each month on document logistics
• 50% reduction in manual data entry across the client base
• 3× increase in total documents processed from Q1 to Q3
• 65% quarter-over-quarter growth in document volume

"The split processing, agent-in-the-loop feature, and ongoing model improvements from Reducto expand our capabilities without forcing us to refactor our extraction schema," says Chuck.

By mastering Reducto’s primitives, LEA achieves compounding efficiency: each new customer adds volume and coverage—not headcount

Looking Forward

LEA is now expanding its integrations on both sides of the workflow—connecting with document vaults and systems-of-record such as CRM, planning, and custodial platforms.

A newly relaunched API handles more document types and publishes structured data directly into firms’ central data infrastructure. The vision: make document processing completely invisible, embedded seamlessly into the tools firms already use to run their operations.

As Reducto rolls out new features like agent-in-the-loop error correction, LEA can continuously improve accuracy without human review. The team is also developing advanced validation layers and telemetry to increase confidence in every extracted field.

For any company that touches financial documents—RIAs, fintech platforms, data providers—the challenge of document handling is universal. But the solution has evolved. Combining specialized AI infrastructure with domain expertise lets firms scale operations without scaling teams.

LEA’s rapid growth proves it: document intelligence isn’t just a feature—it’s what real AI transformation looks like in practice.