ROSS Intelligence

Overview

ROSS Intelligence built a plain-language legal research engine. Lawyers asked questions in ordinary English, and the system searched judicial opinions for relevant passages and cases. The company sought to reduce the time and cost of legal research in a market dominated by Westlaw and LexisNexis.

ROSS raised about $13 million and sold to major law firms. Its independent life ended after Thomson Reuters sued in 2020, alleging that ROSS's training process infringed copyrights in Westlaw editorial headnotes. ROSS denied the claims but announced in December 2020 that the litigation had blocked new financing and exhausted operating cash. The platform closed on January 31, 2021.

The corporate entity remained alive to defend the case. In February 2025 the Delaware district court granted Thomson Reuters partial summary judgment and rejected ROSS's fair-use defense for the headnotes at issue. ROSS's history therefore combines an early, useful legal-AI interface with a terminal failure to secure durable rights and financing around a critical data source.

Founding Story

Andrew Arruda, Jimoh Ovbiagele, and Pargles Dall'Oglio founded ROSS in Toronto in 2014. The team combined legal practice and computer science. Arruda had worked at a litigation boutique; Ovbiagele and Dall'Oglio developed the technical product.

They entered Y Combinator's Summer 2015 batch and moved to the United States. Dentons-backed NextLaw Labs became an early investor and customer. Other reported users included BakerHostetler and Latham & Watkins.

The founding premise was access. Legal research subscriptions and associate time were expensive, and keyword search required specialist technique. ROSS would let a lawyer state a legal issue as a question and receive ranked passages from cases. The team used legal-domain embeddings and other search methods rather than presenting the product as a general chatbot.

Timeline

• 2014: Arruda, Ovbiagele, and Dall'Oglio founded ROSS Intelligence.
• Summer 2015: ROSS joined Y Combinator and moved from Toronto to the United States.
• 2015–2016: Dentons' NextLaw Labs backed the company, and major law firms announced use of the product.
• October 2017: ROSS raised an $8.7 million Series A, bringing announced funding to $13 million.
• Following years: The company expanded legal coverage and search capabilities.
• May 2020: Thomson Reuters and Westlaw sued ROSS in federal court in Delaware.
• December 11, 2020: ROSS announced it was stopping operations because the litigation prevented fundraising and cash was running out.
• January 31, 2021: The customer platform became unavailable after a transition and export period.
• February 2025: The court granted Thomson Reuters partial summary judgment on infringement and rejected ROSS's fair-use defense for the disputed headnotes.

What They Built

ROSS indexed US legal material and accepted questions in natural language. It returned ranked case passages intended to answer the research issue, with links to source opinions. Word embeddings helped the system match context and meaning beyond exact keywords.

The product targeted the first stage of legal analysis: finding authority. It did not replace a lawyer's duty to read cases, determine whether they remained good law, and apply them to facts. Its promise was faster discovery and fewer missed cases.

ROSS needed both public law and editorial structure. Judicial opinions are generally public records, but commercial legal databases add headnotes, classifications, citation treatment, and other editorial work. The lawsuit centered on whether materials derived from Westlaw headnotes were used to create ROSS's search system and whether that use was lawful.

Market Position

Target Customers

ROSS sold to law firms, legal departments, academics, students, librarians, solo lawyers, and self-represented users. Large firms offered credibility and contract value; smaller practices and public users fit the access-to-justice mission.

Market Size