AI-assisted contract operations — safer, faster, and under control.
RSVR helps contract-heavy SME teams improve intake, triage, review, escalation and visibility using practical AI-assisted workflows — without contract data leaking into tools you don't control. Diagnosed and built, not just advised.
The operating system your contracts need
AI-assisted at every step. Human decision-making throughout.
Where contracts actually break — and why software alone doesn't fix it.
Most contract workflow pain is not a software problem. It is an operating model problem. The CLM was purchased — but the intake rules, triage logic, routing structure, playbook positions and approval thresholds were never built into it. So the workaround quietly persisted alongside the tool.
Inconsistent intake
Contracts arrive via email, Slack, phone and form — each triggering a different ad-hoc process. Nothing is captured consistently at the point of entry.
First-in, first-out triage
A £500K enterprise MSA queues behind a routine NDA. No systematic prioritisation — priority is a judgment call made by whoever picks up the inbox.
Routing by relationship
Which contracts go to which reviewer is tribal knowledge held by two or three long-tenured people. When they're on leave, the queue stops.
Inaccessible playbook
Approved positions, standard fallbacks and deviation thresholds exist — in a SharePoint folder nobody opens during a live negotiation call.
Approval by email chain
No clear threshold defines which contracts need which level of approval. Approvals travel by email — no timestamps, no audit trail.
Late escalation
Exceptions surface only when a deadline has passed or a deal is at risk. There is no flag at intake, no trigger in triage.
No leadership visibility
GC and COO cannot see pipeline, cycle time, approval exceptions or bottleneck location. Decisions are made without data.
Why your CLM isn't being used — and what to do about it.
Why CLM adoption fails
- Intake rules were never defined — contracts still arrive via email
- Triage logic was never built into the system — priority is still manual
- Playbook positions were never loaded — reviewers still use the Word doc
- Routing was never configured — the shared inbox persists as fallback
- Training covered clicks, not judgement — adoption declined after month two
What RSVR builds instead
- Intake form with structured fields — consistent data from first entry
- Triage logic configured in system — risk, value, counterparty-based sorting
- Playbook positions loaded and surfaced in context — accessible during review
- Routing rules configured — right reviewer, named handoffs, auditable
- Adoption routines — team-specific, embedded in how people work
First-time CLM buyers switch within 36 months
Before you spend £25K on a new CLM, spend 30 minutes on a Snapshot. RSVR recommends a CLM only when it is the right solution.
Shadow AI in contract review — a data exposure question first.
Staff paste MSAs, SOWs, pricing positions and negotiation strategy into free AI tools for quick summaries or redline suggestions. This is a data exposure question: visibility, approved routes, and clear rules — not a legal-advice question.
Even where a CLM exists, staff under time pressure find it faster to paste the contract into ChatGPT than to navigate the CLM's review interface. The CLM investment has not changed the behaviour — because the approved AI route does not exist alongside it.
What contract data enters consumer AI tools
- MSAs, SOWs and framework agreements — pasted for quick redline suggestions
- Pricing positions and commercial terms — summarised for negotiation prep
- Liability, indemnity and limitation clauses — reviewed for risk comparison
- Supplier terms and preferred vendor agreements — checked against standard positions
- NDA drafts and negotiation correspondence — rewritten or polished
Consumer AI terms of service
Free tools may use contract content for product improvement unless opted out. Most legal teams have never reviewed the terms of the tools their reviewers use.
Data exposurePersonal accounts — invisible to GC
Contract content in personal AI accounts persists in chat histories no manager or GC can access, audit or delete — including after the employee leaves.
No audit trailNo approved AI alternative
Where the CLM has no approved AI review layer and no standalone approved tool exists, staff under time pressure use what's available. The absence of an approved route is the governance failure.
Governance gapContractrix AI addresses this
RSVR builds the approved AI review layer alongside your CLM or workflow — with data rules, human review at every step, and an audit trail your GC can actually see.
RSVR solves thisA clear operational lifecycle, AI-assisted where it earns its place.
Each stage is designed to run consistently at SME speed, with human review and legal judgement retained throughout. AI assists — it does not decide.
Intake
One front door
- Structured form — every contract, every time
- Type, counterparty, value, urgency captured at entry
- Eliminates the shared-inbox workaround
Triage
Risk-based sorting
- Risk, value, counterparty-based prioritisation
- AI-assisted flag for high-risk contracts
- Manual override with full audit trail
Routing
Right reviewer first time
- Routing rules configured by contract type
- Named reviewer and backup reviewer
- Full handoff audit trail
Playbook
Positions in context
- Standard positions and fallbacks in the system
- Surfaced during review — not a separate document
- Human review of all AI-surfaced suggestions
Approvals
Clear thresholds
- Threshold matrix by contract type and value
- Named approver at each level
- Timestamped decision log
Escalation
Exceptions surface early
- Flags configured at intake and triage
- Auto-routing to legal or commercial leadership
- Escalation log visible to GC
Visibility
Pipeline & cycle time
- Dashboard for GC and COO
- Cycle time, pipeline, exception rate, hotspots
- Weekly summary report option
Diagnose. Design. Build. Operate.
How RSVR moves from a Snapshot to a working contract operations system — scoped, evidence-first, at SME speed.
Diagnose
Map the current state: where contracts enter, how they're prioritised, who routes them, what the playbook says (if it exists), how approvals work, and what leadership can currently see.
- Current-state contract flow map
- Bottleneck identification by stage
- Data exposure assessment (shadow AI in contracts)
- Board-readable diagnostic report
Design
Design the target operating model: intake rules, triage logic, routing structure, playbook format, approval thresholds, escalation triggers, and dashboard requirements.
- Operating model blueprint
- Intake form specification
- Triage and routing rules
- Approval threshold matrix
Build
Build or configure: intake forms, triage logic, routing rules, playbook in-system, approval workflows, escalation triggers, dashboards and AI-assisted review layers.
- Configured intake and triage workflows
- Routing setup (CLM or standalone)
- Playbook loaded and accessible in-context
- Leadership dashboard: cycle time, pipeline, exceptions
Operate
Embed the operating model: role-specific team training, manager routines, exception handling guides, and a quarterly review cadence to update playbook positions and routing rules.
- Role-specific team training
- Manager operations guide
- Exception handling playbook
- Quarterly review cadence
AI-assisted components — built with human review throughout.
Contractrix AI uses AI where it creates genuine workflow value. Every AI-assisted step has a human reviewer. The AI does not make contract decisions — your team does.
Structured intake & capture
One consistent intake form with structured fields. AI-assisted field suggestions reduce manual entry errors. Every submission creates a clean record from day one.
Human action: Reviewer confirms intake data before triage begins Triage logic & risk flag
AI-assisted flag for high-risk or high-value contracts based on configurable rules: counterparty type, contract value, clause presence, and urgency. Surfaces flags for human review — does not route autonomously.
Playbook-enabled review support
Approved standard positions, fallbacks and deviation thresholds surfaced in-context during review. AI highlights where a clause deviates from the standard position. Human reviewer makes all decisions.
Escalation triggers & routing automation
Configurable triggers fire when contract value exceeds threshold, high-risk clause is present, or cycle time SLA is approaching breach. Routes to named reviewer — human decides next action.
Commercial visibility dashboard
Real-time view of contract pipeline, cycle time by type, exception rate, approval queue depth and bottleneck location. Built for GC and COO — updated automatically, no manual reporting.
CLM integration & workflow alignment
Contractrix AI integrates around your existing CLM (Juro, Gatekeeper, Summize, Ironclad, DocuSign) rather than replacing it. Where no CLM exists, we build a standalone workflow.
Different seats. Same contract friction.
General Counsel / Head of Legal
Reduce repeatable legal overload without giving up legal control. Get visibility into pipeline, cycle time and exceptions without a manual reporting exercise every Monday morning.
COO / VP Operations
Make contract friction visible, measurable and manageable. Stop deals being delayed by process problems that legal can't fix alone and operations doesn't own.
CRO / VP Sales
Reduce NDA and MSA turnaround time without cutting legal out. Consistent intake, faster triage, named reviewers — and a dashboard that shows where your deals are actually waiting.
CEO / Founder
Fix contract operations before it becomes a scaling tax. Contract friction compounds as you grow: every untreated bottleneck becomes a headcount argument, a legal risk, or a lost deal.
Neither software-only nor advice-only.
The operating model around contracts is what makes the difference. RSVR builds it.
Software-only tools
Platform without operating model
- CLM platforms (Juro, Gatekeeper, Summize, Ironclad)
- Contract repository and workflow automation
- Signature, storage, renewal alerts
Weakness: the platform requires an operating model to work. Intake rules, triage logic, playbook positions and adoption routines are rarely included. 40% switch within 36 months.
Operating model built around your contracts.
- Diagnose before recommending any tool
- Build intake, triage, routing and playbook
- AI-assisted review with human always in the loop
- Dashboard for GC and commercial leadership
- CLM integration — or standalone workflow
- Not reselling software. Building the system.
"Not just advised." No current competitor builds the operating model and software layer together at SME scale.
Advisory-only consultants
Recommendation without implementation
- Law firms, ALSPs, large consultancies
- Process review and policy recommendations
- CLM selection advice and vendor scorecards
Weakness: advises on what to do, then hands back to the client to implement. Long timelines, expensive for SME scale. The operating model never gets built.
Bring AI-assisted contract operations under control.
Start with a 30-minute Snapshot framed for contract-heavy teams. Identify where your intake, triage, routing, playbook, approvals or visibility are creating the most friction — or confirm no action is needed yet.
No contracts to upload · No confidential data upfront · No CLM vendor pitch · Senior-led
Typically GC or Head of Legal Ops plus COO or commercial lead. No preparation needed — just an honest 30-minute conversation about where the friction actually is.
You leave knowing where friction is · whether a diagnostic is justified · what the right next step is
Questions contract teams ask before booking.
Where Contract Operations connects.
Ready to fix contract operations?
Book a 30-minute Snapshot. Identify where intake, triage, routing, approvals or visibility are breaking — or confirm no action is needed yet. Senior-led, free, no documents needed.
