Agentic AI · Deterministic by design

Procurement Orchestration.
Pharma built in.

Your team decides. The agents do everything in between.

Pharma contracting is broken in two places: at intake, where the business navigates forms, categories, and systems; and in execution, where a packet of contracts crosses multiple functions, over email, for months.

ContractSphere runs the whole cycle with AI agents, on top of the stack you already own: intake in plain English, the packet read as one and linked to related agreements, agents reviewing in parallel, and decisions with your experts.

SEE IT IN 30 SECONDS
What it optimizes
EFFORT
Submission and review effort, eliminated.

Requesters never fill a form. Reviewers never read every page of every document. Platform auto detects, extracts and fills. Agents read, cross-reference, and surface findings with evidence attached. What remains is decisions.

TIME
Half the cycle, reclaimed.

Waiting and first-pass review typically consume half of contract cycle time. Agents run the first pass the moment a request lands, so reviewers start from findings, not from page one. And status lives in the platform, not in follow-up emails.

COST
Leakage caught, volume absorbed.

Renewals, escalators, and rebates surface before they cost money. Contract volume grows without headcount growing with it.

Quantify it for your volumes → Run the ROI model

Illustrative model, your inputs, assumptions visible.

30+ contract types · native, day one

Every agreement pharma actually signs, clinical to commercial, understood on install.

Clinical Trial Agreements · Quality Agreements · Pharmacovigilance · Material Transfer · HCP Consulting

Life Sciences contracting

Why pharma contracts are different.

Three structural realities of Life Sciences contracting, and the part of the platform built to resolve each one.

Complexity
Contracts live in an ecosystem.
Engage a CRO and the MSA governs a per-study work order; the work order carries budget and transfer-of-obligations exhibits; GxP scope triggers a quality agreement, safety-data handling a PV agreement, personal data a DPA. Terms in one bind the others. Tools that read one document at a time review a fraction of the risk.
See how ContractSphere reads the packet →
Compliance
Regulatory compliance requires multi-dimensional review.
Quality signs because of GxP. Safety signs because of GVP. Privacy signs because of GDPR and HIPAA. Multi-functional review isn't process bloat pharma can trim. It's compliance. Today it runs sequentially, over email, for weeks.
See how domain agents review in parallel →
Fragmentation
Every system holds a slice. Nobody holds the thread.
CLM, ERP, procurement suite, quality systems: each records its fragment. Status lives in follow-up emails, data is rekeyed at every handoff, and no one can answer: where is this contract, and what's blocking it?
See how the layer connects your stack →
Connected-contract understanding

ContractSphere understands pharma.

Context read at three levels.

The packet a contract travels in, the ecosystem of agreements it lives under, and the trigger map of companion agreements its type demands. One review reads the whole packet, new documents auto-link to their governing agreements with effective terms surfaced in context. And when a companion is missing, expired, or doesn't cover the scope, it's flagged at intake, not at signature.

Level 01
The packet
CV
Investigator CV
COI
COI Disclosure
Protocol
Clinical Trial Protocol
Main
Clinical Trial Agreement
ICF
Informed Consent Form
Budget
Study Budget
FMV
FMV Report
1 packet · 7 documents · 1 review
Level 02
The ecosystem
SOW
new
Packaging & Labeling
agreement · master
DPA
inherited
Quality Agreement
annex · triggered
Level 03 · The trigger map
Not every pharma contract triggers the same annexes.
Patient Support Program
triggers all three
DPA QAA PVA
Commercial Manufacturing
QA covers PV
DPA QAA ✓ GMPPVA
Clinical Trial (Site)
Protocol covers QA / PV
DPA QAA PVA
DPA (data privacy) · QAA (quality) · PVA (safety data exchange)
Intake

Every procurement request has a different shape.

One intake for the user, in plain English. The platform understands and auto-routes.

A punch-out catalog, a sourcing request, or the counterparty's paper: every shape of request enters the same intake, and the platform classifies each by regulatory shape, not just by value and type. A CTA implies a packet; GxP scope implies a quality agreement. Every request is checked against existing masters, with approved suppliers offered at the point of choice, enabling category strategy right where decisions happen. And when the request amends something already signed, it enters pre-classified: linked to its parent agreement, reviewed against both the last executed copy and the agreements it lives under.

RequestBusiness owner Auto-RouteRequest triage
Catalog · fast pathPunch-out catalogShopping cartPR / PO → ERP
Sourcing requestSelect vendorSend/receive docsExtract & linkAgentic reviewHuman decisionSystem of recordComplete
Contract uploadClassify contractExtract & linkAgentic reviewHuman decisionSystem of recordComplete
Sourcing requestSelect vendorSend/receive docsPre-classified & linkedDelta vs. last executedReview vs. linked agreementsHuman decisionSystem of recordComplete
Contract uploadPre-classified & linkedDelta vs. last executedReview vs. linked agreementsHuman decisionSystem of recordComplete
See it run

One sourcing request, start to signed record.

The actual product, step by step, from a one-line request to vendor upload, auto-linking, multi-agent review, and a fully drafted system-of-record entry. Real screens, sandbox data.

app.contractsphere.ai/requests PRODUCT UI · SANDBOX DATA
01 / 17

Your Digital Employees

Agents that learn your enterprise like your people do.

Eleven specialist reviewers (legal, quality, privacy, finance, safety, and more) are scoped by context: they review the documents and linked agreements and surface findings for human SMEs to review and decide. When your compliance posture changes, the function owner retrains its agent in natural language or training documents — and that enterprise context becomes the agent's topmost instruction, applied at highest weight in every review from that moment on.

Agents surface findings with reasoning attached. Humans decide.
01 / LEG
Legal

Clause-level risk, redlines, fallback positions, playbook adherence. Cuts senior-counsel hours on boilerplate.

02 / GxP
Quality / GxP

Quality Agreement scope, GxP coverage, change-control obligations, supplier-audit standards, inspection readiness.

03 / FIN
Finance

Pricing, payment terms, indemnity caps, revenue recognition flags. Protects DPO, margin, and rev-rec timing.

And eight more · one per function
  • ProcurementVendor classification, commercial benchmarks, category fit
  • Data PrivacyDPAs, transfer mechanisms, GDPR / HIPAA fit
  • InfoSecSecurity exhibits, incident terms, audit rights
  • RegulatorySubmission impact, HCP / Sunshine Act exposure
  • AI GovernanceModel use, training-data rights, IP boundaries
  • PharmacovigilanceSDEA terms, ICSR exchange, inspection rights
  • Global TradeExport controls, sanctions screening, INCOTERMS
  • Supply ChainCapacity commitments, continuity, dual-source

Operational Intelligence: deterministic by design.

Same question|Same dataSame answer, every time.
The answer is computed by code from your contract records; the AI only explains.

Ask anything across your contracts. Deterministic engines calculate, and a grounding gate verifies every hard fact against the source data before it reaches you. When a value doesn't exist in your records, it says so plainly.

Geopolitical exposure"A conflict just broke out in Iran. Which of our vendor contracts are exposed, and what does each contract let us do?"
Forward spend commitment"For CC-054, across all contracts, what is our expected quarterly spend for 2026, and how does 2027 compare?"
Coverage gaps"Do we have quality agreements and DPAs in place with every vendor that needs one: covered, clauses-only, or uncovered?"
Cash-flow & terms leverage"What are the payment terms across our top vendors, and where do our SOWs conflict with their master agreements?"
Data & AI risk posture"Which vendors will process employee PII or use AI on our data, and where do their contracts restrict, or fail to authorize, that use?"
Comparison

Same category. Different depth.

The delta is understanding and execution.
01Connected-contract understanding: reads the packet, not just the document
02Pharma domain depth: 30+ contract types and their regulatory triggers, native day one
03Contextualized review: agents arrive pharma-trained, then learn your enterprise on top

Horizontal tools ship as platforms; all three have to be built onto them.

CapabilityHorizontal orchestration tools(Zip, Oro Labs, Tonkean, Omnea)ContractSphereBuilt for Life Sciences
User experience
Intakecatalog · formless · SOW · document-in adaptive forms formless intake
Integrationsintake → review → routing → sync
The differentiators
Connected-contract understandingauto-links to governing agreements · surfaces effective terms · flags missing masters · pharma triggers→ 01 · Connected-contract understanding
Life Sciences contract coverageCTA · CMA · QAA · PVA · HCP · Sunshine Act · GxP · Global Trade · native taxonomy→ 02 · Pharma domain depth
Agentic contract reviewout-of-box, domain-aware→ 03 · Contextualized review
Operational intelligenceprotocol rollups · batch capacity · aggregate exposure
Calibration reflects publicly available product documentation and analyst positioning for the procurement orchestration category as of Q2 2026.
Named, capability-by-capability comparison → compare.html
Your stack

Works with the stack you already own.

CLM
Ironclad · Agiloft · iCertis · DocuSign
Procurement
Coupa · Ariba
ERP
SAP
Identity
Okta · Entra · Workspace

Your CLM stays the system of record. Your ERP stays the ledger. ContractSphere is the layer between that understands what they're holding.

Your data stays yours.

Two ways to run. Same rules for your data.

Bring your own cloud · Azure

In your cloud

ContractSphere deploys into your own Azure tenant. Your organization's security policies, network controls, and monitoring apply automatically. Your keys, your access grants, revocable anytime.

Multi-tenant SaaS

In ours

Your data is isolated and encrypted per tenant, never commingled.

In either case: your contract data is never used to train third-party models, and every access runs through your own identity provider.
For the Procurement Leader

Everyone owns a step. You answer for the whole thing.

Yours is the only seat that sees the whole cycle. That's the leverage.

The business wants velocity but has settled for the current pace. Plans get padded to absorb long lead times, and that quiet padding is the real cost: working capital, milestones, and program velocity written off as normal. Execution speed is trapped inside cross-team reviews, and your team carries the accountability without the ownership.

ContractSphere breaks that status quo: agents run the first pass of every review, and you get one place to see and manage the whole cycle. The cycle becomes visible, measurable, and actionable.

The four-week product-fit evaluation is built to be your proof: a go/no-go readout on your own documents, on our platform, before IT is involved or anyone's asked to change how they work.

The cycle has been waiting for someone to own the change. It doesn't have to keep waiting.

Start as the change agent → design partner cohort

Why ContractSphere exists

"I spent ten years in pharma, most recently leading G&A IT and enterprise automation at a public biotech, where I lived this problem. I couldn't find the right solution. So I built ContractSphere."

Aviral Srivastava, founder of ContractSphere.ai
AVIRAL SRIVASTAVA · FOUNDER, CONTRACTSPHERE.AI
LINKEDIN ↗

See ContractSphere.ai in action.

  • 20-min needs intro
  • 45-min product walkthrough
Partner Cohort 2026

A co-design seat, not a sales call.

Fit proven in four weeks on our platform, no IT lift. Then a paid design partnership to technical go-live, with the fee credited in full against your license.

  • Fit in 4 weeks
  • License starts at go-live
Apply for a partner seat

Reviewed personally · reply in two business days

FAQ

Questions you may have.

How is ContractSphere.ai different from horizontal intake / orchestration tools?

Same category, procurement orchestration, but built vertically for Life Sciences. Horizontal orchestration tools are built for general procurement and ship as configurable platforms you build pharma context onto; ContractSphere ships it in: 30+ contract types, 11 pharma-trained domain agents, and connected-contract understanding out of the box. It coexists with, and does not replace, your CLM, ERP, and S2P suites.

Does ContractSphere.ai replace our CLM?

No. Your CLM stays the system of record for storage, e-signature, and renewals. ContractSphere.ai is the intelligence and orchestration layer above it: intake, auto-linking, multi-agent review, and routing.

Do we need an existing CLM to use ContractSphere.ai?

It's designed to sit above your CLM. If you don't have one yet, that's a deployment conversation we have directly — the platform still runs intake, review, and orchestration through to signature.

What do you mean by Digital Employees?

Each domain agent is a Digital Employee, not a generic bot. It reports into the manager of its function, who trains it on their playbook, SOPs, and risk appetite and signs off on its work. Every review runs with a human in the loop: the agent surfaces its findings with reasoning attached and never decides.

How does it handle multi-document contracts and related agreements?

It reads context at two levels: the packet (a main agreement with its annexes and exhibits) and the ecosystem (how it relates to MSAs, DPAs, QAAs, and SOWs). Reviews are cross-document by default, and a missing, expired, or insufficient master is flagged before review begins.

How does ContractSphere.ai handle amendments and change orders?

As first-class intake, not a special case. An amendment arrives pre-classified and linked to its parent, and review runs two comparisons at once: against the last executed version (what changed) and against the linked agreements it lives under (what the change breaks or triggers). In clinical operations amendments outnumber new agreements — the platform is built for that ratio.

Which contract types does ContractSphere.ai support?

30+ Life Sciences types out of the box: CDA/NDA, MSA, SOW, CTA, CMA, QAA, PVA, SDEA, MSSA, ISR, MTA, and more, each with its own field model.

Does ContractSphere.ai support Bring Your Own Cloud (BYOC)?

Yes: run on our Multi-Tenant SaaS, isolated and encrypted per tenant, or Bring Your Own Cloud on Microsoft Azure, where the application runs inside your own subscription and your security perimeter is the perimeter. Deployment is chosen in the design-partnership charter, and a BYOC choice means technical go-live lands in your own tenant. Deployment details: Security page →

How does a design partnership start?

It starts with a four-week product-fit evaluation: a small set of your anonymized contracts on our platform, standard logins, no IT involvement, ending in a go/no-go readout on your own documents. If it's a go, the paid design partnership begins: we connect your SSO and systems, load ~100 contracts in your own nomenclature, and finish at technical go-live. Your license activates there, with the partnership fee credited in full against it. Business rollout then runs at your pace. Details on the design-partner page.

How is our data protected?

Two deployment models: Multi-Tenant SaaS, where your data is isolated and encrypted per tenant and evaluation sets are deleted if you don't continue, or Bring Your Own Cloud on Microsoft Azure, where the application runs inside your subscription, so your security perimeter is the perimeter. Contract content, embeddings, and model traffic are never used to train third-party models. Full controls, access model, and audit posture: Security page →

Which identity providers does it integrate with?

Enterprise SSO via Okta, Microsoft Entra (MSAL / Azure AD), and Google Workspace, with SCIM 2.0 provisioning and role-based access control.