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.
What stood in the way
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.
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
How it is built
Ask it in plain language
The questions the team asks every day, answered from the documents themselves — with the source a click away.
Questions from the project brief; the answers shown are illustrative.
What the client gained
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

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