A contract repository that tracks obligations, not just files.

Custom contract repository systems for enterprises that need more than a folder structure — obligation tracking, renewal alerts, approval workflows, AI-powered clause extraction, and integration with your ERP and procurement systems. Built by a team with 8+ years of enterprise software delivery.

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Enterprise systems in a multi-year partnership — Tejas Networks

50+

Projects shipped since 2017

4.8★

Clutch rating from verified reviews

1–3+ yrs

Average client engagement length

Your contracts are in folders. Your obligations are in people's heads.

The contracts are in SharePoint. Or a shared drive. Or an email thread. Finding a specific clause means opening documents one by one. Knowing when a contract renews means someone remembering to check. Tracking obligations — SLA commitments, payment milestones, deliverable deadlines — means a spreadsheet that's already out of date.

The legal team knows the risk. Missed renewal windows cost money — auto-renewals on unfavourable terms, lapsed contracts with key vendors, expired agreements that nobody noticed until a dispute. Obligation breaches surface when the other party raises them, not when your team catches them.

A folder is not a repository. A repository tracks what's in the contracts, who's responsible for what, and when action is required — and alerts the right person before deadlines pass.

Tracking contracts in folders and spreadsheets? Tell us what your process looks like.

Describe your process

A contract system that knows what's inside every agreement.

We build the contract repository around your contract lifecycle — not a generic document management layer. Every contract type has its own metadata schema, approval workflow, and obligation tracking rules. The system knows what's in each contract, who's responsible, and what's due when.

AI extracts key data from uploaded contracts: parties, dates, payment terms, renewal clauses, liability caps, and custom fields you define. Low-confidence extractions are flagged for human review. Once extracted, the data drives automated alerts, compliance reporting, and obligation dashboards.

The system integrates with your procurement system, ERP, and project management tools. Contract data flows where it's needed — vendor terms in procurement, payment schedules in accounting, SLA commitments in project delivery.

What the system covers.

Centralised repository— Every contract searchable by party, type, date, status, clause, or custom metadata

AI clause extraction— Automatic extraction of dates, terms, obligations, and custom fields from uploaded contracts

Obligation tracking— SLA commitments, payment milestones, deliverable deadlines — with owner assignment and alerts

Renewal management— Automated alerts before renewal windows close — 90, 60, 30 days configurable

Approval workflows— Different approval chains for different contract types — vendor, client, NDA, employment

Version control— Full revision history with redline comparison between contract versions

ERP integration— Payment terms and schedules flow to accounting; vendor data syncs with procurement

Compliance reporting— Track which contracts meet policy requirements, which need review, which are expired

Role-based access— Legal sees everything; departments see their contracts; vendors see their own agreements

Enterprise systems that manage documents, workflows, and compliance.

Tejas Networks: from paper-based approvals to a digital enterprise platform

Situation: Tejas Networks — a publicly listed telecom manufacturer — ran procurement approvals, vendor management, and internal documentation on paper. Physical routing between departments. No centralised record. Audit trails reconstructed from filing cabinets.

What we built: Four interconnected enterprise platforms over a multi-year partnership. The first digitised procurement approvals — the same document management, workflow routing, and audit trail architecture that a contract repository requires. Each subsequent system consumed data from the previous one, creating a connected enterprise data layer.

90%

reduction in paper-based processes

Read the case study

AI document processing in production

Context: Madgeek has deployed AI document processing in production environments — extracting structured data from unstructured documents, flagging confidence levels, and routing low-confidence results to human reviewers. The same architecture powers contract clause extraction: read the document, extract the fields, populate the record, flag what needs human review.

50+

projects including AI document processing

See AI capabilities

Custom contract repository vs off-the-shelf CLM tools.

Capability	Custom system	Ironclad / Agiloft / ContractPodAi
Metadata schema	Custom fields per contract type — unlimited	Configurable within platform limits; custom fields often restricted
AI extraction	Trained on your contract templates and clause patterns	Generic extraction models; custom training limited or expensive
Obligation tracking	Custom rules per contract type with owner assignment and escalation	Standard obligation tracking; complex rules need professional services
Approval workflows	Different chains per contract type, department, and value	Configurable but constrained by platform workflow engine
Integration	Bidirectional sync with any ERP, procurement, or PM system	Pre-built connectors for common tools; custom integrations vary
Per-seat licensing	None. Your system, unlimited users	$50–$150/user/month at enterprise scale
Migration support	Full migration from any source — SharePoint, drives, legacy CLM, email	Import tools available; complex migrations need consulting

Three concerns about building a custom contract system.

"We have thousands of contracts to migrate — that alone could take months."

Migration is scoped separately and runs in parallel with system development. We extract documents from SharePoint, shared drives, and legacy systems. AI assists with metadata tagging and clause extraction on the existing library. Typical migration for 5,000–10,000 contracts: 4–6 weeks running alongside the build phase.

"Our legal team won't adopt a new system."

Adoption depends on whether the system makes their work easier or adds another tool to manage. A contract repository that auto-extracts key terms, sends renewal alerts, and surfaces obligations before deadlines — that's less work, not more. We build the interface around how your legal team actually works, including the search patterns and views they use daily.

"How accurate is AI clause extraction?"

On standardised contract templates, extraction accuracy is 90–95% for common fields (dates, parties, payment terms). On non-standard or heavily negotiated contracts, accuracy drops. The system handles this by design: every extraction includes a confidence score, and low-confidence fields are flagged for human review. The AI gets better over time as the legal team corrects and validates extractions.

How we build your contract repository.

Structured process — same as every enterprise engagement.

Discovery call

30 minutes. Walk us through your contract types, approval processes, and what's falling through the cracks. No pitch.

Contract lifecycle mapping

We map every contract type, metadata requirement, approval chain, and integration point. Technical spec, not a slide deck.

Phase 1 — repository and search

Centralised storage, metadata schema, full-text and clause search, renewal alerts. Working software in 8–12 weeks.

Phase 2 — AI extraction and obligation tracking

Clause extraction, obligation management, compliance reporting, approval workflows. Deploys in 6–8 weeks.

Migration and ongoing partnership

Existing contracts migrated in parallel. Monthly retainer for continued development and support.

Book a 30-minute call

Common questions about contract repository systems.

A focused contract repository with search, tagging, and renewal alerts starts at $50,000–$70,000. A full contract lifecycle management platform with AI clause extraction, obligation tracking, approval workflows, and ERP integration runs $100,000–$180,000. Scoped before quoting — fixed price per phase.

Core repository with search and renewal tracking: 8–12 weeks. Full CLM with AI extraction, approval workflows, and integrations: 14–20 weeks. Two-week sprints with working software at the end of each.

Those platforms work well for standard contract workflows. They stop working when your contract types have non-standard approval chains, when obligation tracking needs to integrate with project management or ERP systems, when your legal team needs custom metadata fields that the platform doesn't support, or when you need AI extraction trained on your specific contract templates rather than generic legal language.

Yes. We've migrated contract data from SharePoint, shared drives, legacy CLM tools, and email archives. Migration includes document extraction, metadata tagging, OCR for scanned contracts, and validation. The migration plan is scoped separately — we map every source and validate every record.

The system uses AI to read uploaded contracts and extract key data: parties, effective dates, termination dates, renewal terms, payment terms, liability caps, SLA commitments, and custom clauses you define. Extracted data populates the contract record automatically. The AI flags low-confidence extractions for human review rather than guessing.

Yes — that's the primary reason companies build custom. Vendor contracts route through procurement and legal. Client contracts route through sales and legal. NDAs have a fast-track approval. Employment contracts route through HR. Each type has its own metadata schema, approval chain, and obligation tracking rules.

You do. Full source code, complete IP, all documentation. No per-seat licensing, no vendor lock-in. The system scales with your contract volume and user count at infrastructure cost, not license cost.

Have a question about contract management systems?

Talk to us directly — no forms, no sales reps.

Book a 30-minute call

Tell us what's in your contracts — and what you're missing.

Walk us through your contract types, the obligations you're tracking manually, and where things fall through the cracks. We'll show you what a purpose-built contract repository looks like.

Book a 30-minute call