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Hourglass
Cloud-based AI legal timekeeping for law firms
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Hourglass - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: September 2026
Hourglass overview
What is Hourglass?
Hourglass AI is a cloud-based, AI-driven legal timekeeping platform built for law firms that bill time to clients and submit invoices subject to outside counsel billing guidelines (OCGs). The software automatically captures attorney work activity across email, documents, calls, and legal research as it occurs, drafts complete time entries with matter assignments, billing codes, and hours, and checks every narrative against client OCG rules before submission. No entry reaches the billing system without explicit human approval, and no workflow change is required from attorneys.
The platform integrates with Microsoft 365, legal research tools, communications tools, document tools, and existing law firm time and billing systems, delivering finished, guideline-compliant entries directly to the firm's billing system with no re-keying. Firms can upload an outside counsel guideline and convert it into a proposed rule set, which a designated reviewer must verify and approve before activation. The compliance engine flags issues including block billing, prohibited activities, narrative deficiencies, incorrect task and activity codes, and minimum increment violations, and provides explanations and suggested corrections for each flag. Optional timers combine with automatic capture into a single consolidated total.
Hourglass AI also provides profitability and realization analytics, comparing timekeeper realization and revenue against firm medians, tracing write-downs to the specific client rule that caused them, and tracking billing pace within the month. Each firm runs in an isolated deployment with its own application instance, database, and audit record, hosted in the US. Data is encrypted in transit via TLS and at rest via AES-256. The platform has completed SOC 2 Type I examination and maintains compliance controls for CCPA, GDPR, and HIPAA.
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