Our Take
Regulatory arbitrage (Utah's alternative law firm rules) lets Bechor do what LawGeex could not: offer legal services directly, not just tools to lawyers, and the unit economics show why this matters.
Why it matters
Legal AI companies have mostly sold software to existing firms; Superlegal bets that direct regulated practice, paired with AI-trained on construction contracts, can undercut outside counsel by an order of magnitude. Construction SMBs facing $500/hour rates now have a tested alternative.
Do this week
General counsel and construction project leads: request a Superlegal review of your current contract workflow and outside-counsel spend before month-end to quantify whether 90% savings apply to your contract volume.
Superlegal Opens Utah Law Firm to Offer Direct Legal Services
Noory Bechor, co-founder of the defunct legal AI company LawGeex, has launched a regulated law firm under the Superlegal brand based in Utah. The firm operates under Utah's alternative legal services provider rules, allowing it to offer legal services without the traditional partnership structure required in most states. Bechor and long-time collaborator Ilan Admon founded Superlegal as a contract review business in 2023 with backing that included investment from Tom Glocer. The move into formal regulated practice extends a business model that has been pricing commercial contract review at $117 per document, completed within 24 hours, with a licensed attorney signing off on every review.
The Utah licensing structure addresses a regulatory constraint that limited LawGeex's original play: most jurisdictions classify contract review and legal advice as the practice of law, which requires a law license. By operating as a licensed firm rather than a pure software vendor, Superlegal can contract directly with SMBs and assume liability for the work in a way software alone cannot.
The Cost and Cycle-Time Gap Is Real, Not Speculative
A construction client at Western Partitions reported spending roughly one-tenth of previous outside-counsel costs and receiving 85–90 percent of contract reviews within 24 hours (company-reported). The customer noted that delays beyond two days are rare, a claim difficult to make about traditional law firms juggling many clients. Cost reduction of 90 percent is significant; cycle-time compression of 70 percent (per Superlegal) compounds the advantage by allowing faster deal closure.
The pricing model itself is the story. Outside construction counsel typically bills hourly, creating no incentive to automate or optimize review speed. Superlegal's fixed-price, fixed-timeline model works because the AI was trained specifically on construction contracts (not general legal documents), which narrows the surface area the model needs to cover. That specificity is what allows profitable unit economics at $117 per review.
What remains unproven is scale: one named customer outcome, however favorable, does not establish viability across a sector. Construction is a natural beachhead (highly repetitive contract forms, SMB-dominated, less sophisticated legal infrastructure), but expansion to other verticals will require retraining and new regulatory filings.
How to Evaluate Superlegal for Your Shop
If you manage contracts for a construction firm or similar SMB, the math is straightforward: multiply your annual contract volume by your current outside-counsel cost per review, then compare to $117 times the same volume, accounting for the 24-hour turnaround. If your outside counsel charges $500–$1,000 per review (common for smaller firms), Superlegal's pricing advantage is immediate and measurable.
The risk is limited: a 24-hour turnaround allows you to flag issues or request revision before committing. Bechor's claim that you can hire Superlegal "full stop. No traditional firm in the middle" is accurate only insofar as Superlegal holds the license and liability; you still decide whether to accept the review or escalate. Start with a low-risk contract class (e.g., vendor NDAs) to test the review quality and turnaround against your current baseline before migrating higher-stakes work.