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Contract Lifecycle Management on CDL Intelligence

CDL Intelligence’s contract lifecycle management covers the same six stages as any CLM platform — intake, drafting, negotiation, approval, execution, and renewal — but every stage writes into the same dataset TPRM and the CDL Framework read from, instead of a CLM-only silo that needs a separate export to answer a vendor-risk or portfolio-health question.

Intake and repository

Contracts enter through a structured intake wizard or a quick upload, with clause extraction running automatically so the repository is searchable by clause language, not just filename. Every executed agreement is linked to its amendments, restatements, and superseding contracts, so an obligation buried in a two-year-old amendment surfaces when it matters instead of after it’s missed. Version history and permissions are tracked per contract, not bolted on after the fact.

AI-assisted redlining, grounded in your own history

The inline editor renders the actual DOCX — not a clause-list summary — with AI-generated redlines shown as click-to-decide annotations: accept, reject, or ask the AI to revise, each with a severity rating and a plain-language rationale. A live CDL Framework score sits above the document and updates the moment a redline is accepted or rejected, so the effect of a decision is visible immediately instead of discovered at the next portfolio review.

Every redline is benchmarked against the rest of your contract portfolio: if a clause type has been accepted in 3 of your last 4 negotiations, that pattern shows up next to the current decision, not buried in a spreadsheet somewhere. A command palette, inline AI rewrite, and a searchable clause library sit alongside the editor for the parts of drafting that don’t need a full redline pass.

E-signature and approval routing

Once a document is final, it routes through a configurable approval chain — based on contract value, risk tier, or type — before signature. E-signature runs through a DocuSign integration rather than a bespoke signing flow, so counterparties sign in a tool they likely already know.

Renewals and obligations

Contracts approaching their renewal window are surfaced automatically, with an AI-generated renewal analysis attached — not just a calendar reminder that a date is coming, but an assessment of what changed since signature and what to renegotiate before the window closes.

Export in Word-native formats

Redlined contracts export as real DOCX track changes in three modes — a counterparty version with privileged commentary stripped, an internal version with the full review surface, and a clean version with every accepted change applied — opening correctly in Word, Pages, or Google Docs with author attribution intact.

AI outputs are assistive and should be reviewed by a qualified professional before use. Not legal advice.

Frequently Asked Questions

How is CDL Intelligence’s CLM different from a standalone CLM tool?

It writes into the same dataset as vendor risk (TPRM) and the CDL Framework’s portfolio scoring. A standalone CLM tool has no concept of the vendor’s current risk tier or how a contract’s terms compare to the rest of the portfolio; on CDL Intelligence, both are visible next to the contract itself.

Does the AI draft contracts from scratch, or only redline?

Both. The AI can generate first drafts and fallback language from your standards, and redline incoming counterparty paper against your playbook with a rationale for each change.

What does the live CDL Framework score do during redlining?

It shows the contract’s current score against the three CDL Framework questions — revenue scalability, growth durability, structural soundness — and updates instantly as redlines are accepted or rejected, plus a projected score if every pending redline were accepted.

Does CDL Intelligence have its own e-signature?

E-signature runs through a DocuSign integration rather than a separate, bespoke signing flow.

See it on your own contracts and vendors

CDL Intelligence runs CLM, TPRM, and legal intelligence on one converged dataset.

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