AI agent-based contract lifecycle management

VerifiableContract: an AI agent for the whole contract lifecycle

Contracts lived in PDFs, Word files, spreadsheets, scans and email, and legal and procurement spent most of their week reading and comparing them. We moved every contract into one AI-indexed repository and put agents on clause detection, risk scoring, drafting and renewals.

ClientA US-based SMB
IndustryLegal & procurement
RegionUnited States
~45%less time per contract lifecycle
80%fewer policy-breach risks
0SLA misses, with proactive alerts
The challenge

What stood in the way

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Disorganised, unstructured data

Contracts across PDFs, Word, Excel, scanned images and email — extraction, compliance and search nearly impossible.

No intelligence in contract handling

Nothing to identify clauses, compare terms or flag deviations from legal and policy norms.

High manual dependency

Legal and procurement teams spending 60–70% of their time reading, comparing and editing contracts.

Slow, costly compliance

Policy checks, risk reviews and regulatory compliance slowing time-to-signature.

Vendor burnout

Earlier tools promised automation and failed on multi-format, multi-language contracts.

Inflexible legacy systems

CLM and DMS tools with no AI agents or APIs for automation and policy enforcement.

Assessment & approach

From diagnosis to design

What we found

  • Contracts scattered across email, drives and the ERP, with no central view
  • Manual reviews causing delays and compliance risk
  • Inconsistent templates causing errors and negotiation friction
  • No alerts for renewals, obligations or expiries

What we did

  • Discovery workshops mapping the existing contract process
  • All legacy contracts migrated into a central, AI-powered repository
  • AI clause detection for automated risk and compliance checks
  • Policy-aligned drafting templates for faster, standard contracts
  • Integration with SharePoint, Google Drive and the ERP
  • Automated alerts and dashboards for renewals, compliance and obligations
The solution

How it is built

Platform architectureArchitecture
Users · React
Platform admin
Company user
Signatory
Node.js microservices
Load balancer & APIAWS ALB
Redis cache
Workflow · template · content
Chat · staff
Platform services
AuthGoogle · Microsoft
Database managerMongoDB
Schedulerrenewal alerts
Contract storageDropbox · Google Drive · OneDrive
AI integrationMongoDB agentVector DBMetadata extractionMulti-LLM supportQR code aggregatorSocket services

Ask it in plain language

The questions the team asks every day, answered from the documents themselves — with the source a click away.

VerifiableContractExample
What's the termination clause of my XYZ vendor?
VerifiableContractClause 14.2: either party may terminate with 60 days' written notice. Flagged amber — your playbook asks for 90.
Ask about your documents…

Questions from the project brief; the answers shown are illustrative.

The result

What the client gained

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Autonomous clause detection & mapping

Agents extract and map termination, indemnity and jurisdiction clauses across PDF, Word, image and Excel.

AI-driven risk scoring

Every contract scored against internal policy, industry practice and past deals.

Deviation from your playbook

Uploaded contracts compared with standard clauses; deviations flagged for redlining or escalation.

Multi-format parsing

Scanned, tabular or nested — OCR and NLP index it all.

Auto-drafting & smart redlining

Clauses suggested by party role — vendor, buyer, employer — with risks highlighted in negotiation.

No-code workflows with AI

Approval, negotiation and audit workflows, optimised over time from usage analytics.

Technology

ReactNode.jsMongoDBRedisVector DBMulti-LLMOCR + NLPAWS ALB
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