Same contract. Four different jobs.
Tuesday you saw the automation code. Today you see how real legal team members actually use it. Each role has different priorities, different dashboards, different wins.
Team Workflows
See how different roles use the same system to transform their daily work.Click each role below
Before Automation
With Automation
Workflow Process
Impact By The Numbers
"I finally have time to negotiate, not just read."
— Contract Manager, 11 years in-house legal
How Roles Work Together on One Contract
Watch how a 47-page master service agreement moves through the team in 90 minutes instead of 3 days.
High-Risk Vendor MSA
✨ Scroll here to watch the workflow
Practice-Wide Impact
| Metric | Before | After | Improvement |
|---|---|---|---|
| Avg Review Time | 6 hours/contract | 47 min/contract | 87% faster |
| Contracts/Week | 25 (team of 4) | 78 (same team) | 3x throughput |
| Risk Coverage | 73% (fatigue misses) | 100% (AI never tires) | +27 points |
| SLA Compliance | 68% on-time | 95% on-time | +27 points |
Getting Your Legal Team On Board
Lawyers think AI will miss nuanced legal risks
Run parallel for 30 contracts: manual + AI. Show AI caught 12 risks humans missed (buried in dense paragraphs). Humans still review, AI just reads faster.
Trust builds when lawyers see AI finds things they would have missed at 5 PM on a Friday.
Analysts worried they'll be replaced
Show time reallocation: 'You'll spend 70% less time reading, 70% more time on strategic research and negotiation support.' Frame as elevation, not elimination.
Analysts realize they're moving from document processing to actual legal work.
Ops concerned about integration complexity
Proof: 3-week implementation including training. Works with existing contract management systems. No rip-and-replace.
Show implementation timeline. Most resistance comes from fear of disruption.
General Counsel worried about liability if AI misses something
Humans still review and approve everything. AI is research assistant, not decision-maker. Include audit trail showing human reviewed AI output.
Position as 'AI-assisted review' not 'AI review'. Humans always in the loop.
Team thinks current process is 'good enough'
Calculate cost: 6 hours × $150/hour × 25 contracts/week = $22,500/week in review time. With automation: $3,525/week. Savings: $988K annually.
When you show the number, 'good enough' becomes 'we're leaving money on the table.'
Investment & ROI
Typical payback in 18-25 days through review time savings
Pricing
ROI Calculator
Proven Results
From Demo to Live in 3 Weeks
From demo to production in just 3 weeks
- Connect contract management system (DocuSign, Ironclad, etc)
- Configure risk taxonomy (your playbook rules)
- Import 50 historical contracts for AI baseline training
- Set up role-specific dashboards
- Train each role on their workflow (3hr sessions)
- Run pilot with 20 contracts (2 per user)
- Compare AI output vs manual review
- Gather feedback, adjust risk thresholds
- Roll out to all users
- Process all new contracts through system
- Daily check-ins for first week
- Measure baseline metrics vs new performance
Enterprise deployments may take 4-6 weeks for custom AI training and multi-system integrations
2026 Randeep Bhatia. All Rights Reserved.
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