

Sandstone vs HAQQ
Sandstone is an AI operating system for US in-house legal departments. HAQQ is built for the firms that bill clients — with research, invoicing and coverage beyond one country.
The short version
Sandstone is an impressive in-house workspace: it intakes requests with full business context, drafts, redlines, tracks risk and keeps a living knowledge base — all US-only, enterprise-priced, contact-sales. HAQQ aims at a different buyer: the law firm. It adds billing, transparent pricing and multi-language, multi-jurisdiction coverage for the MENA and emerging markets Sandstone doesn't serve.
Firms, not just in-house teams
Sandstone optimizes the in-house legal department. HAQQ is built for firms that bill clients, adding the invoicing and practice economics an in-house tool has no reason to include.
Built for emerging markets
Sandstone is US-only with US data residency and no advertised multi-language or multi-jurisdiction support. HAQQ runs across jurisdictions and languages, including Arabic and the MENA region Sandstone doesn't touch.
Pricing without a procurement cycle
Sandstone is enterprise contact-sales with no public pricing. HAQQ publishes its plans so a solo or boutique firm can start today — no demo gate, no negotiation.
Feature-by-Feature Comparison
Frequently Asked Questions
Is Sandstone for law firms?
No. Sandstone is an operating system for in-house corporate legal departments at companies like Wayfair and Mercury. HAQQ is built for law firms and solo practitioners who bill external clients.
Does Sandstone work outside the US?
Sandstone hosts data in the US and processes everything domestically, with no advertised multi-jurisdiction or multi-language support. HAQQ is built for multiple jurisdictions and languages, including the MENA region.
What does HAQQ add over Sandstone?
Billing and invoicing for firms that charge clients, transparent self-serve pricing, multi-language and multi-jurisdiction coverage, and a firm-first model — while matching Sandstone's drafting, review, risk tracking and persistent knowledge base.
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