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.

9+ hrs/week

recovered per knowledge worker

21%

productivity gain across teams

$19K+

annual cost recovery

<12 mo

ROI payback

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.

See It in Action

A 30-minute walkthrough using sample contracts, invoices, or forms from your business environment, with live extraction and search.

Use Cases

Legal operations and contract management

Contract intake automation, clause identification, obligation tracking, and renewal date monitoring across the entire contract portfolio. Risk flagging tied to your playbook and policy standards.

Invoice extraction, three-way matching against PO and contract, exception routing, and structured output to the ERP. Eliminates manual line-item entry and reduces approval cycle time.

Finance — accounts payable

Healthcare and life sciences

HIPAA-compliant clinical document processing, patient record extraction, and regulatory submission preparation. Audit trail aligned to FDA and CMS documentation requirements.

Claims document intake, classification, and structured extraction for downstream processing. Reduces manual handling time and surfaces inconsistencies for adjuster review.

Insurance and claims

Government and public sector

Automated processing of permits, applications, regulatory filings, and correspondence. Structured extraction into case management and records systems with full audit trail for FOIA and public records compliance.

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.

AI reclaims one workday a week
— discover how in our guide

Loading form

ROI & business impact

Hours/wk

Knowledge worker hours recovered weekly — measured against your own baseline during pilot

Reduced

Reduction in manual data entry and document review across legal, finance, and operations

Improved

Improved compliance through continuous obligation and renewal tracking

<12 mo

ROI payback period: typically under 12 months for organizations processing 1,000+ documents monthly

Let’s Connect

Trusted by

Flexible, fast, and focused — Sphere solves your tech and business challenges as you scale.

Luke Suneja

Client Partner

Loading form

Hear From Our Clients

Sphere Partners
Selah Ben-Haim VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

Sphere Partners
Ben Crawford Senior Product Manager at Enova Financial

I would expect to be delighted. It’s been a really positive experience, working with Sphere, and I would expect you to have the same.

Sphere Partners
Mark Friedgan CEO at CreditNinja

Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. They bring innovative and well-considered solutions, consistently surpassing my expectations.

Sphere Partners
René Pfitzner Co-Founder at Experify

Sphere provided excellent full-stack development manpower to augment our team and work with us.

Sphere Partners
Bruce Burdick Chief Information Officer at Integra Credit

We've been working with Sphere and its excellent consultants since our founding. Their combination of offshore talent, pricing, and shift offsetting is hard to beat. They provide crucial augmentation to our in-house team. We simply couldn't achieve our production ambitions without their service.

Sphere Partners
Jemal Swoboda CEO at Dabble

The resources and developers that Sphere Software provides are skilled and have the required technical expertise to complete their tasks successfully, with the team easily scaled in either direction. The deliverables are always high-quality.

Sphere Partners
Arthur Tretyak Founder and CEO at IntegraCredit

With Sphere, we were able to migrate in half the time it would take to train an additional FTE…

Sphere Partners
Lee Ebreo VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system. We augmented our development team capabilities using Sphere’s developer, who works very well with our Dev Lead in Chicago. Sphere’s developer was an expert in the new system, and continues to be an expert as we evolve it.

TOP AI CODE
Generation COMPANY
UNITED STATES 2025

TOP AI TEXT
Generation COMPANY
florida 2025

TOP APP development COMPANY
manufacturing 2025

TOP artificial intelligence COMPANY
united states 2025

TOP chatbot
COMPANY
united states 2025

TOP recommendation systems COMPANY
united states 2025

Sphere in Numbers

We understand that actions speak louder than words and numbers
but here are some key facts about us.

20

Years of Experience

230

Delivered Projects

200+

Senior Specialists

94%

Satisfaction Rate

Get The Latest Insights

Industrial IoT Architecture Explained: How Smart Factories Are Actually Built
Industrial IoT is a $276 billion market growing at 13%+ annually — but only for companies that get the architecture right. This article walks through all eight layers of the IIoT stack, explains what each one does, and shows where most implementations go wrong.
100 OpenClaw Use Cases You Can Try Today
Most people still use AI as a chat window. Ask something, get something back, move on. That works for isolated tasks. It doesn’t do much for the work that keeps returning every day. OpenClaw works differently. It runs persistently, connects to the tools you already use, and handles ongoing workflows across inbox, calendar, files, code, research, CRM, and content. That changes the role of AI from assistant to operating layer. This article walks through 100 practical OpenClaw use cases across personal productivity, business operations, development, and creative work. Some save a few minutes a day. Some remove recurring admin entirely. Some create systems that keep compounding once they are in place. The right way to read it is simple: find the one use case that would improve your week immediately, get it working well, and build from there.
The Complete OpenClaw Setup & Installation Guide
OpenClaw turns AI from something you talk to into something that actually works for you. It runs continuously, connects to your tools, and executes real tasks across your systems. This guide breaks down what matters: which tools to enable, which risks to control, and how to configure an agent that delivers value without turning into a liability.
Staff Augmentation Evolved: Three Strategic Models to Navigate the AI Era and Market Uncertainty

Frequently asked question

No. Sphere’s Document Intelligence is the extraction and intelligence layer on top of your existing content and workflow systems. SharePoint, Box, Google Drive, DocuSign, and major CLM platforms are supported via certified integrations.

Extraction accuracy is calibrated against your own documents during model training, not against generic benchmarks. Initial accuracy targets are validated during the pilot before broader rollout. Every extraction carries a confidence score, and low-confidence items route automatically to human review.

Every extraction can be reviewed and corrected in one click. Corrections feed the next model retraining cycle, improving accuracy over time. High correction rates in any document category trigger an automatic model review.

Sphere handles structured forms, semi-structured documents like invoices, and unstructured documents like contracts and reports. Supported formats include PDF (native and scanned), Word, Excel, image files, and email attachments. OCR is built in for scanned documents.

All deployments run in your cloud environment by default, with SOC 2 Type II controls, encryption at rest and in transit, and full role-based access. HIPAA, PCI-DSS, and other industry-specific configurations are available. Sphere never aggregates client document data across deployments.

From contract signature to live extraction on the first document type: 6–10 weeks for standard integrations. The 30-day supervised pilot is included in this timeline. Multi-document-type rollouts are typically phased over 4–6 months.

Yes. Models are trained on your own document corpus, so the system learns your contract templates, your invoice formats, and your forms — not a generic document type. This is a core part of the discovery and pilot phases.

Get Started Today