
Contract review acceleration for a corporate legal team
An in-house legal team reviewed hundreds of vendor agreements a year against the same playbook. A review workspace we designed and built flags deviations, cites clauses, and drafts fallback language: lawyers make the calls.
Client
Confidential (EDIT-ME)
Domain
Legal
Services
Generative AI, AI Consulting, UI/UX Design
Overview
An in-house legal team reviewed hundreds of vendor agreements a year against the same playbook. A review workspace we designed and built flags deviations, cites clauses, and drafts fallback language: lawyers make the calls.
The client is the in-house legal department of a mid-sized enterprise, a team of five lawyers supporting procurement across the whole business. (EDIT-ME: describe the real client.) Vendor agreements were their highest-volume work: hundreds per year, most reviewed against the same 40-point playbook of required terms, forbidden clauses, and preferred fallbacks.
Challenge
Every agreement got a manual read against the full playbook regardless of length or risk. Turnaround stretched to two weeks at busy times, and the business noticed: procurement teams began routing around legal for 'small' contracts, which is exactly how risk enters an organization: through the side door, in volume.
Playbook application was inconsistent by nature. Five lawyers applied 40 points with five levels of experience and five sets of habits; the same clause could pass one review and get negotiated in another. New team members took months to internalize positions that existed mostly as institutional memory.
The team had evaluated legal-tech review platforms but found them rigid: built around someone else's playbook taxonomy, priced per seat for the whole department, and impossible to adapt to the specific fallback language the team had refined over years.
Our approach
We ran a short consulting phase first, turning the informal playbook into an explicit, versioned artifact: every position, its rationale, its severity, and its approved fallback language. That document alone, before any software, improved consistency, and it became the specification the system enforces.
We then designed and built a review workspace around the team's actual workflow. A lawyer drops in a contract; the system checks it clause-by-clause against the playbook and presents every deviation with the source text cited, the severity ranked, and the approved fallback drafted and ready to insert.
The lawyer works down the deviation list accepting, editing, or rejecting each point: never reading a raw 60-page agreement cold. When review finishes, the system assembles the redlined document and the cover email summarizing the negotiation position. UX was half the project: the interface had to feel like a sharper way to lawyer, not a form to feed a machine.
Every accepted or overridden point feeds an analytics view that shows how the playbook performs in the real world (which positions vendors always accept, which always get negotiated) so the playbook itself now improves on evidence.

Solution
Key capabilities include:
- Clause-by-clause playbook checking. Every agreement checked against all 40 positions with cited source text: nothing skipped on a busy day.
- Drafted fallback language. Deviations arrive with the team's own approved alternative wording ready to insert, not a generic suggestion.
- Severity-ranked review queue. Lawyers see deal-breakers first and boilerplate last, matching attention to risk.
- One-click redline assembly. The finished review becomes a tracked-changes document and a summary email automatically.
- Versioned playbook. Positions, rationales, and fallbacks live in one governed artifact: onboarding material and system spec at once.
- Position analytics. Acceptance and negotiation rates per playbook point turn playbook maintenance into an evidence-based exercise.
Outcomes
72%
reduction in review turnaround time
100%
playbook coverage on every contract
0
off-process contracts since rollout
Standard vendor agreements now turn around in days, and the business stopped routing around legal: the fast path is the official path. Junior lawyers apply the full playbook from their first week, and the team's negotiating positions are strengthening as the analytics reveal what actually works. (EDIT-ME: replace with the real outcome story.)
“It reads every contract the way our most careful lawyer reads on her best day, and then lets the humans do the actual lawyering.”
Looking to solve something similar in legal?
Let's design a system built for your workload, not a generic template.
Tech stack
- Claude
- React
- pgvector
- Azure
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