Codify your playbook once. Every AI review negotiates from it.
A clause library where you set your position, pre-approved wording, and walkaway per clause, so every AI engine argues your standard instead of generic advice. Plus the Fair Renewal Rider: a versioned addendum of the terms you always want, merged into any renewal as tracked changes.
Every renewal re-litigates the same terms: the uplift cap, the audit conduct, the change-of-control. The knowledge of what your company will and will not accept lives in a few people’s heads, so it walks out the door when they do and gets re-argued from scratch each time. The clause library makes it institutional.
Set the standard once, apply it everywhere.
The library is the source of truth every engine and every rider draws from.
Set your position, pre-approved wording, and walkaway per clause. Every AI review, decode, and negotiation draft pushes toward your language, not a generic best practice.
A versioned standard addendum, an uplift cap, benchmark repricing, audit conduct, and change of control, merged into any renewal as tracked changes so you attach the same fair terms every time.
A must-have coverage grid checks every contract for the required protections in one matrix, so you spot which agreements are missing a price cap or an exit clause in a single glance.
True-downs, swap windows, price holds, and SLA credits you already paid for, tracked with expiry alerts, so a right you forgot about gets used before it lapses.
The library is what makes the AI yours.
Generic AI gives generic advice. The clause library is the layer that turns every engine on the platform into your negotiator: the decode, the proposal redline, the ghost-writer, and the rider all read your pre-approved wording and walkaway, so the output argues your standard, in your language.
Institutional memory, versioned and enforced.
The playbook stops living in people’s heads and starts living in the platform.
The library feeds the decode, the proposal redline, the negotiation ghost-writer, and the rider, so a change to your standard propagates to every AI surface at once.
The rider is versioned, so you can update the standard terms and know exactly which version went onto which renewal.
Each clause holds three things the AI needs: what you want, the exact language, and the point past which you walk, so drafts are specific and bounded.
The must-have grid checks every contract against your required protections, so gaps are a glance, not a manual audit.
Riders and redlines export as tracked changes against the vendor’s paper, so legal reviews a markup, not a fresh document.
Stop re-arguing the same clauses every single renewal.
The uplift cap and the audit conduct do not need to be negotiated from first principles each time. Codify them once and the rider brings them to every renewal, drafted as tracked changes.
Estimate your own hours →The layer that makes the whole platform argue your case.
A clause bank or a template library is static text. This is a living standard that drives every AI engine.
A library of sample clauses sits there until someone remembers to use it. This standard is read automatically by every AI review and merged by the rider, so it applies itself.
A generic model argues a textbook position. Grounded in your clause library, the AI argues the exact wording and walkaway your legal team approved.
When the playbook lives in a few experts’ memory, it is lost to turnover and re-argued each cycle. Codified, it is institutional and enforced.
Business value, and the operational value under it.
One line for the board paper, and the day to day the team actually feels.
- Institutional memory that survives turnover: the playbook is codified, not carried in a few heads.
- The same fair terms on every renewal, so protections stop being re-argued and occasionally lost.
- Coverage gaps visible across the estate, so no contract quietly lacks a cap or an exit.
- Rights you already paid for used before they lapse, recovering value already bought.
- Every AI engine drafting in your approved language, not a generic one.
- The rider merged into any renewal as tracked changes legal can review.
- A one-glance coverage matrix instead of a manual contract-by-contract audit.
- One update to the standard, propagated to every AI surface at once.
Make every review argue your standard.
Codify the playbook once. The platform carries it everywhere.