Rillet’s latest funding round has thrust a newcomer in enterprise resource planning into the spotlight, promising to rewire how finance teams — including those inside law firms and legal-tech vendors — run accounting and close their books. The company announced a Series B that it says was co‑led by Andreessen Horowitz and ICONIQ and lifted its known financing north of $100m; reporting on exact totals varies across outlets and databases. The surge in capital and the calibre of the investors have seeded fresh debate about whether a clean‑sheet, AI‑first approach to ERP can unseat decades‑old incumbents.

At the heart of Rillet’s pitch is what it calls a “smart general ledger”: a re‑imagining of financial systems architecture that replaces the traditional model of a database plus spreadsheets with native integrations and embedded artificial intelligence. According to the company, structured data flows directly into its ledger from services such as Salesforce, Stripe and Brex, AI automates accruals, reconciliations and revenue recognition, and teams can access near‑real‑time reporting and automated workflows rather than waiting days or weeks for answers. Rillet presents the platform as “built by accountants,” pointing to senior product and customer‑success hires from Big Four backgrounds to bolster its credibility.

Nicolas Kopp, Rillet’s chief executive and co‑founder and previously US CEO at N26, framed the product in practical terms when speaking to Artificial Lawyer: he recalled the frustration of waiting weeks for basic business metrics and argued that modern firms deserve “a better way” to run finance. The company has reiterated that claim in its own communications, saying its tools are intended to let small finance teams operate at scale and to streamline the path from startup to public company.

The customer anecdotes Rillet highlights are striking and form a core part of its narrative. The company claims PostScript, a merchant‑commerce platform, used Rillet to close its books in three days, and that fast‑growing customers such as Windsurf operate their entire finance function with only two people. Rillet has also told reporters that several customers are expected to go public from its platform within the next six to 12 months — a claim that, if realised, would provide a strong validation point for the AI‑native approach. Those outcomes are presented by the company as examples of the operational leverage its ledger can provide; independent verification beyond the company’s customer statements is limited in public reporting to date.

Metrics cited by Rillet and reflected in contemporaneous coverage suggest rapid early traction: the company says it has grown to more than 200 customers and that annual recurring revenue more than doubled in a matter of weeks. News agencies and the firm’s own blog echo these growth figures, although databases tracking venture financings offer slightly different arithmetic on totals and round sizes. Crunchbase, for instance, summarised earlier rounds and placed total funding slightly higher than some reports, and various outlets note an earlier Series A backed by Sequoia. Such discrepancies are not unusual in the fast‑moving startup world, but they do underline the importance of independent verification when one is sizing valuation and runway.

Investor involvement has been notable beyond cheque‑writing. Reports say that partners from leading firms will take board seats following the round, signalling both strategic interest and closer oversight. That investor attention reflects a broader pattern: venture capital has been aggressively chasing infrastructure plays that promise to remove manual toil from back‑office functions and to bake AI across critical business workflows.

For law firms and in‑house legal teams, the implications are twofold. First, ERP and financial tooling shape how firms price matters, staff teams and run financial operations; faster closes and more accurate real‑time metrics could change financial decision‑making. Second, many legal‑tech vendors now also sell adjacent ERP or practice‑management modules, meaning a shift in ERP architecture could ripple into the legal‑technology landscape directly. Artificial Lawyer’s reporting notes this proximity and argues that a rapid rise by an AI‑native ERP vendor would be watched closely by legal operators and technology buyers alike.

Rillet’s rise also fits into a wider narrative about AI’s spread across professional services: investors and founders are pursuing automation not only for client‑facing workflows but for the accounting and finance functions that underpin scaling businesses. Whether Rillet — or any newcomer — can translate early customer wins and investor enthusiasm into durable enterprise market share against entrenched incumbents remains to be seen. Much will hinge on reliability, auditability, integrations with existing corporate systems, and regulators’ and auditors’ acceptance of automated accounting processes.

For those following the intersection of legal practice and technology, there are practical opportunities to see these trends discussed in person later this year. Artificial Lawyer is hosting Legal Innovators New York on 19–20 November 2025 and Legal Innovators UK from 4–6 November 2025, events billed as forums for legal operations professionals, law firm partners and vendors to explore innovation, AI and operational change.

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Source: Noah Wire Services