Document Intelligence
Extract and structure at scale
Sphere’s Document Intelligence automatically extracts, classifies, and interprets data from contracts, invoices, reports, and forms — transforming unstructured content into structured, searchable, and actionable information. Integrated with your existing content and workflow systems without manual review pipeline.
Trusted by Leading Enterprises
Unstructured documents are the largest untapped asset in most organizations
Contracts, invoices, reports, forms, and operational documents hold the data that finance, legal, and operations teams need to make decisions — but the data is locked inside documents that no system can read at scale. The result is duplicated effort, compliance risk, and analytical questions that go unanswered because the underlying information is invisible to the analytics stack.
1. Knowledge workers spend hours per day searching for information
McKinsey’s research puts knowledge worker time on information gathering at 1.8 hours per day. IDC finds businesses lose 21.3% of productivity to document-related challenges — roughly $19,732 per information worker annually.
2. Manual document review introduces errors and compliance risk
Every manual extraction is a chance to misread a clause, miss a renewal date, or mis-key an invoice line. In regulated industries, those errors compound into audit findings and contract disputes.
3. Unstructured data is invisible to your analytics stack
Your BI tools can’t query a PDF. Your data warehouse doesn’t index a contract. The most valuable information in most organizations is the information no system can act on automatically.
An AI layer that turns documents into structured, queryable data
Sphere builds the document intelligence layer between your content sources and your operational systems. Every contract, invoice, report, and form is processed, classified, and structured — flowing into the workflows and analytics tools your teams already use. Subject-matter experts retain full review authority; AI eliminates the manual extraction work in between.
Outcomes
Organizations running on AI-driven document intelligence make decisions on data their teams previously couldn’t reach. Sphere’s Document Intelligence is built for this shift — eliminating the manual review work that fills knowledge worker calendars and turning the documents your business already produces into the data layer your business actually needs.
Use Cases
How it works: Sphere’s 5-step deployment process
Discovery and document workflow audit
Sphere's solution architects spend 2 weeks mapping your document sources, processing workflows, downstream systems, and current manual review processes. Deliverable: a Document Intelligence Integration Blueprint.
Data Ingestion & Model Training
Connect to your document repositories. Ingest a representative document corpus across the document types in scope. Train extraction and classification models on your own documents – your contract templates, your invoice formats, your forms.
Workflow configuration and reviewer UX testing
Configure extraction confidence thresholds, exception routing, and reviewer workflows. Three rounds of UX testing with the legal, finance, or operations team that will own the workflow.
Pilot Deployment (Human-in-the-Loop)
30-day supervised pilot on a defined document type or business unit. Extractions visible alongside the existing manual process. Reviewer feedback and corrections feed model improvement before broader rollout.
Full Rollout & Continuous Learning
Production deployment across all in-scope document types. Continuous learning from reviewer corrections. Quarterly business review on extraction accuracy, reviewer hours saved, and downstream automation impact.
ROI & business impact
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Flexible, fast, and focused — Sphere solves your tech and business challenges as you scale.
Luke Suneja
Client Partner
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Frequently asked question