Document Intelligence · Standard Ledger Company
Power over
your own documents.
your own documents.
Every tax-paying citizen of this country — from the contractor making $20,000 a year to the operator running $2 billion — deserves better access to their own information. The standard of search should not be determined by the size of your balance sheet. Enterprise document intelligence has existed for decades. We removed the price barrier.
This is your cost of not having Ledger Search.
60 min
Lost per employee, per day
240 hrs
Per employee, per year
$8,400
Annual cost per employee
$299
Ledger Search, per month
Record · Verify · Navigate · The Standard of Information
standardledgercompany.com
Live Deployment — Mission Bay High School Modernization
84
Documents
Plans, specs, addenda, bid documents
13M+
Characters indexed
Every character of every page
4,400
Pages searchable
Page-precise results, instant
4,039
Scope hits detected
Across 6 domain categories
This is not a demo environment. A landscape and irrigation contractor is running Ledger Search on an active public works project — right now — using it daily to search plans, specifications, addenda, and compliance documents. The system is live, searchable, and in production.
The Documented Cost
Your team is paying to search for things they already have.
Industry research places information search friction at 30–40% of a knowledge worker's day. Run the ledger on your own payroll.
60 min
Lost per employee, per day
Conservative figure. Time spent opening documents one by one, searching file names, hunting for the clause, the number, the date. Information the business already owns.
240 hrs
Per employee, per year
Six full work weeks. Paid at full labor cost. Recovered nothing. No output. Pure friction inside a system with no index.
$8,400
Annual cost per employee
At $35/hr burdened labor. A 5-person office loses $42,000 per year to document search friction. The owner pays for every minute of it.
The Market
Enterprise document intelligence. Without the enterprise price.
Every operator between $20,000 and $2 billion needs this. Until now, no one built it for them.
Column I
Where You Are Now
Column II
The Market Options
Column III
Their Pricing
Column IV
Ledger Search
How you search
Folder by folder. File name by file name. You open documents one at a time hunting for what you already own.
Enterprise options
Procore — construction modules only, not full document search. iManage — BigLaw only, 50+ user minimum, IT deployment required. Elasticsearch — developer and infrastructure required to operate.
Verified annual cost
Procore: $55,000/yr (first-year TCO 2–2.5× higher). iManage: $40–$75/user/month + $10,000–$15,000 implementation. Elasticsearch: $10,000–$100,000+ TCO with infrastructure.
Ledger Search
Full semantic search across every document you own. Contents, not filenames. Every page. Sub-second.
Zero IT required · Days to deploy
Who the market serves
Enterprise platforms were built for Fortune 500 companies. The $20K operator, the $800K contractor, the 6-attorney firm — priced out of every solution. Until now.
Minimum requirements
Procore: construction industry, project-volume pricing. iManage: 50+ users, IT dept, legal/finance only. SharePoint: M365 admin, filename search only. Google Drive: no semantic search, no indexing.
Setup complexity
Procore: weeks to months of onboarding. iManage: IT project, firm-wide rollout. Elasticsearch: engineering sprint + ongoing infrastructure maintenance.
Who this is built for
Any business generating $20,000 to $2 billion per year. Any industry. Any document type. You send them. We return access.
Built for this. Built for you.
What you pay today
$8,400 per employee per year in lost labor. 5-person office: $42,000 annually. Every year. Recovered nothing.
Enterprise pricing
$6,000–$200,000+ per year. Per-user seat fees. Implementation costs. IT overhead. Maintenance contracts. Renewal increases.
True annual TCO
After implementation, training, IT overhead, and annual increases: 2–3× the listed subscription price in year one alone.
Ledger Search pricing
Foundation $299/mo. Professional $599/mo. Enterprise $1,199+/mo. No per-user fees. No IT overhead. No implementation surprise.
10–20% of what comparable systems cost
What It Does Right Now
Eight capabilities. One deployed system.
Not a roadmap. Not a beta. A working pipeline in daily production use.
Full-Text Search
Every character of every page indexed using FTS5 BM25 — the same algorithm powering Elasticsearch. Sub-second search regardless of corpus size. Type a term. See every mention across every document instantly.
Page-Precise Results
Every result tagged with the exact page number the match came from. Click the result — the document opens at that page. No manual hunting. No Ctrl+F through a 400-page plan set.
Multi-Format Ingestion
PDF (native and scanned), Word, HTML, plain text, email, images. Scanned pages run through four-method OCR cascade. AI Vision as last resort. Every document type flows to the same searchable index.
Domain Vocabulary
478 canonical trade terms across six scope categories automatically identified in every document with page numbers and context. The system understands your industry, not just your keywords.
Intelligence Pod
Select snippets from multiple documents across a job — compliance clauses, scope items, dates — and assemble them into a structured context block. One click into Claude or ChatGPT with full source attribution. 45 minutes becomes 90 seconds.
Structured Field Extraction
From bid documents: bid numbers, bid due dates, job walk dates, county, license requirements, prevailing wage flags, PLA/CWA indicators, liquidated damages, bond percentages, engineer's estimate values, contact information — all extracted automatically.
Local Deployment
The system runs on your hardware. Documents never leave your network. No cloud dependency. No third party holding your data. One Python command and the server is live on your office LAN — every employee accesses it from any browser.
Calendar Intelligence
Bid due dates and job walk dates extracted automatically from documents appear in a calendar view. Per-job notes — timestamped, authored, searchable — permanently attached to every job record alongside every document.
The Process
Four steps. One outcome.
No IT department. No platform to administer. No configuration. You send documents. We return access.
01
Fill the questionnaire
Industry, document types, volume, team size, primary use case. One form. Tells us everything needed to configure your normalization schema — organized per job, per client, per classification you define. The questionnaire seeds your domain vocabulary model.
02
Send your documents
Secure transfer channel provided. NDA executed before transfer. Contracts, invoices, estimates, permits, plans, specifications, correspondence — any format, any industry. Drag folders in. We handle the rest.
03
We normalize and index
Every document runs through a four-method extraction cascade. Every character normalized to a gold schema. FTS5 indexed for instant search. Domain vocabulary applied. Structured fields extracted. The entire corpus searchable in under 60 seconds per document.
04
You get access
Deployed on your hardware. Search across every document simultaneously by contents — clauses, line items, names, dates, amounts, compliance flags. Export any result to the Intelligence Pod. Every upgrade we ship, you receive automatically.
Verticals
Any business that runs on documents.
Construction
Contracts, change orders, estimates, permits, subcontractor agreements, inspection reports, certified payroll. Find any clause, any line item, any date — instantly across the entire job corpus.
Legal
Case files, correspondence, filings, discovery documents. Search across an entire matter simultaneously. No more manual review to locate a single reference across hundreds of documents.
Real Estate
Leases, purchase agreements, inspection reports, title documents, correspondence. Your entire portfolio searchable from one interface. Every clause findable in under a second.
Property Management
Vendor contracts, maintenance records, tenant correspondence, invoices. Find what you need before the tenant finishes asking. Every document from every unit in one searchable system.
Pricing
The standard of search. At a price you can actually afford.
No per-user seat fees. No IT overhead. No implementation surprises. Onboarding fee $500–$1,500 one time depending on existing document volume.
Foundation
Foundation
$299/mo
Billed monthly · Cancel anytime
Up to 500 documents · Up to 5 active jobs
- Full-text FTS5 BM25 search
- Page-precise results with PDF viewer
- Multi-format ingestion pipeline
- Domain scope detection — 478 trade terms
- Local deployment — your hardware
- Per-job notes and audit trail
Most Selected
Professional
$599/mo
Billed monthly · Cancel anytime
Up to 2,000 documents · Up to 20 active jobs
- Everything in Foundation
- BidDocument structured extraction
- Calendar intelligence — auto bid dates
- Intelligence Pod — Claude/ChatGPT export
- Per-document notes with full-text search
- Prevailing wage, PLA, CWA auto-detection
Enterprise
Enterprise
$1,199+/mo
Custom contract · Priority support
Unlimited documents · Unlimited jobs
- Everything in Professional
- Semantic search — find what you mean
- Watchdog auto-ingest — drop folder live
- Email routing via Microsoft Graph API
- Custom domain enrichment models
- Multi-tenant — full client data isolation
◈
Your documents are a library with no index. Ledger Search builds the index.
The Standard Ledger Company was founded on one conviction: the standard of information access in this country is too low, and price is the primary reason. Every estimator, every attorney, every office manager drowning in documents they already own deserves to find what they need in under a second. That is not a luxury. That is a standard. And we intend to make it universal — from the $20,000 operator to the $2 billion contractor.
Ledger Audit
Forensic overcharge detection against your suppliers and vendors.
Discount for Ledger Search clients
Ledger Profile
Your entity on the machine-readable web. UUID-anchored. AI-ready.
Discount for Ledger Search clients
Document Services
Normalization, formatting, and structure for any document type.
The standard of return