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$210–270K / year · New York, US
Ajax builds AI-native timekeeping software that passively captures lawyers' work and uses LLMs to generate OCG-compliant time entries for law firms.
Ajax is an AI-native legal technology company founded in 2022 and headquartered in New York. Its platform automates timekeeping for law firms: it passively captures lawyers' work across documents, emails, browser activity, calls, calendars, Zoom and Teams, then applies large language models to match activities to clients and matters and generate detailed, OCG-compliant time entries in each attorney's preferred style. Entries are released into firms' existing billing systems after attorney review - a design that respects established review and approval processes rather than displacing them.
The technical work sits at the intersection of large language models, natural language processing and passive activity capture, applied to a domain where precision matters: billing automation for professional services. The results are measurable. Customers capture 12% more billable time, one customer reported recovering 25–33% more previously missed billable time within the first week, and more than 90% of firms convert from pilot to subscription. Hundreds of law firms use the product.
Founded by brothers Jack and Alex Weinberger, Ajax is building toward a broader operating system for modern law firms, with a roadmap spanning email filing, client updates, reporting, profitability management and pricing. For engineers drawn to applied AI problems with unambiguous commercial consequences, the company offers a rare combination: frontier-model work, a domain with rigorous standards of accuracy, and adoption metrics that leave little room for doubt about product-market fit.