Your book is 14 athletes.
Their inbox is 28 contracts a month.
Sports agents and attorneys representing NIL athletes aren't reviewing one contract — they're juggling deal flow across an entire book. Each athlete has a different conference, a different state's NIL statute, a different risk tolerance, and a different morality-clause history. Manual review at $250/hr times 28 contracts a month doesn't scale; missing one perpetual image-rights grant doesn't either.
RevU is the layer that turns your book into a portfolio: every contract classified against the CUAD taxonomy, every morality clause graded on a 5-tier severity scale, every payment milestone and obligation tracked against the deal's lifecycle. You're still the lawyer. We're the leverage.
Pay-per-analysis $15. Volume pricing for 50+/mo. Agency dashboard in private beta — see CTA below.
What a 14-athlete book actually looks like in a month
Take a midsize NIL agency: 14 athletes, average 2 contracts/athlete/month (mix of brand deals, appearance contracts, merchandise agreements, and collective renewals). That's 28 contracts a month. Industry data and our own customer interviews put thorough manual review at 2–3 hours per contract — call it 2.5. That's 70 hours/month of attorney-rate work before you've negotiated, redlined, or sat on a single call. Most agencies don't have those hours. So they skim. And skimming is how perpetual image-rights grants and one-sided morality clauses slip into the file.
RevU's portfolio model inverts the workflow: every incoming contract is classified, scored, and routed into a triage queue. The 80% that are clean get a one-page summary you can forward to the athlete in five minutes. The 20% that have real issues — a sole-discretion morality termination, an indemnification with no cap, a per-post rate below market — get pulled to the top with the specific clauses pre-flagged. You spend your 70 hours negotiating the deals that need it, not reading the boilerplate on the ones that don't.
And every deal — clean or contested — accrues to a structured record against the athlete's profile: their compensation totals over time, their exclusivity windows, their morality-clause exposure across all active agreements. When a new offer comes in, the system can check it against the athlete's existing book in seconds rather than asking you to remember the terms of the last five deals.
Workflow comparison
Six workflows that every NIL representative runs every week — manual today vs. with RevU.
| Workflow | Current state (manual) | With RevU |
|---|---|---|
| Clause review on a 6-page brand deal | 2.5 hours of attorney time at $250/hr = $625 | 60 seconds of AI analysis + 10 min attorney review of flagged clauses = ~$45 |
| Compensation benchmarking | Manual — gut feel based on the deals you've personally seen | Per-post / per-campaign benchmarks against analyzed-deal corpus, percentile bands |
| Morality clause severity grading | Ad-hoc — depends on the reviewer's familiarity with the clause type | 5-tier severity ladder (M0–M5), consistent grading across the whole book |
| NCAA / state-law conflict check | Look up state statute, check NCAA NIL Go disclosure rules, cross-reference school policy | Automated conflict detection across CA, FL, TX, etc.; NIL Go disclosure flags surfaced inline |
| Audit trail for the file | A folder of PDFs and an email thread; reconstruction takes hours | lifecycle_events log: every state change, every edit, every approval, exportable |
| Redline proposals to send back to brand counsel | Drafted from scratch each time; templates drift | Pre-drafted redline language for common issues (perpetuity, sole-discretion termination, broad exclusivity) |
Estimates based on customer interviews and analyzed contract throughput (2024–2026). Your mileage will vary by book composition.
ROI calculator
Plug in your book size and hourly rate. Defaults reflect a midsize NIL agency. The output is hours saved per month and dollar value at your hourly rate. Numbers update as you type.
The savings calculation isn't a pitch — it's arithmetic. A book of fourteen athletes generating roughly twenty-eight contracts a month at two-and-a-half hours of manual review per contract works out to seventy hours of attorney-rate work just to read the inbound paperwork. With RevU triaging, most contracts collapse to ten or fifteen minutes of review. The difference is dozens of recoverable hours per month, every month, that you can either bill out at your hourly rate or use to take on more clients.
What's actually under the hood?
RevU uses GPT-5.2 with a 400K context window, a self-healing JSON parser, and the CUAD 41-class clause taxonomy as the classification backbone. The full technical breakdown — including our morality severity ladder and the dollar-role labeler that drives compensation extraction — is on the methodology page.
Looking at evaluation criteria? See RevU vs. NIL Contracts IQ and RevU vs. full manual review. Need to brief an athlete on a specific clause type? The morality clause, exclusivity clause, and indemnification glossary entries are good starting points. State-by-state NIL law summaries: California, Florida, Texas.
Agency dashboard early access
We're building the multi-athlete portfolio dashboard agencies have been asking for: book-wide deal flow, cross-client conflict detection, agency-tier audit trails, bulk redline templates, and consolidated billing across an agency's book.
We're picking 8–12 agencies for the closed beta. Tell us about your book and we'll get in touch.
Questions agents & attorneys ask
Is this just GPT in a wrapper?
No. We use GPT-5.2 as a reasoning layer, but the pipeline includes deterministic dollar-role labeling, CUAD taxonomy classification, a self-healing JSON parser with explicit quality enforcement, and a canonical contract-facts store that's the single source of truth for downstream consumers. The methodology page walks through every primitive.
What's RevU's scope of practice? Are you giving legal advice?
Explicitly no. RevU is a contract-analysis tool, not a law firm. Output is a structured analysis — clause classifications, severity grades, compensation extractions, flagged risks. The legal judgment, the redline negotiation, and the sign-off remain with the licensed attorney or registered agent. Most of our active customers are attorneys using RevU as a leverage layer, not a replacement.
Do you support cross-client conflict detection?
Within a single user's portfolio: yes — exclusivity-window conflicts between any two contracts in your book are surfaced automatically. Cross-agency conflict detection (your athlete vs. another agency's athlete in the same category) is part of the agency-tier roadmap. See the early-access CTA above to weigh in on the priority order.
Can I white-label this for my agency?
Not in the current product. The agency dashboard is RevU-branded. White-label is a candidate feature in the enterprise tier — also part of the early-access conversation.
What does pricing look like for a book of 10+ athletes?
Per-contract pricing starts at $15 and tiers down with volume. For books running 50+ contracts/month, we have custom volume pricing (typically a meaningful discount per analysis plus dedicated support). The agency-tier early-access pricing will be set during the closed-beta cohort — submit the CTA above to be part of it.