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Recommind offers eDiscovery and information analytics, now a core part of OpenText’s enterprise portfolio. The platform processes vast unstructured data, enabling identification, analysis, and production of critical information. Capabilities include intelligent search, data categorization, and advanced analytics, crucial for regulatory compliance, record management, and data retention.
Founded in 2000 by Robert Tennant, Recommind emerged from insight that enterprise data volumes demanded advanced search and machine learning for contextual understanding. Tennant envisioned systems to quickly locate and interpret digital information, addressing complexities in data management for legal and operational efficiency.
Recommind’s solutions serve legal departments, compliance officers, and IT professionals in enterprises, aiding risk mitigation and investigation response. As part of OpenText, the technology empowers organizations with information governance and actionable insights. The vision focuses on integrating AI and analytics to transform how businesses leverage critical data assets.
Recommind has raised $22.5M across 2 funding rounds.
Recommind has raised $22.5M in total across 2 funding rounds.
Recommind has raised $22.5M across 2 funding rounds. Most recently, it raised $15.0M Series C in September 2013.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Sep 1, 2013 | $15M Series C | Sapphire Ventures | Accel, Bowery Capital, Carbide Ventures, DAG Ventures, Index Ventures, Jason Stomel | Announced |
| Oct 9, 2008 | $7.5M Venture Round | — | — | Announced |
Recommind is a technology company specializing in AI-powered software for enterprise search, electronic discovery (eDiscovery), information governance, and unstructured data management. It develops products like Decisiv Search, Decisiv Email, Decisiv Categorization, Axcelerate eDiscovery, and Perceptiv Contract Analysis, serving large enterprises, governments, and law firms by enabling faster access, accurate analysis, and auto-categorization of electronically stored information (ESI).[1][2][4] Acquired by OpenText in 2016 for approximately $163 million, Recommind now operates as OpenText Recommind, delivering SaaS and managed services that transform unstructured data into actionable insights for better business decisions.[2][4]
The company solves critical challenges in handling vast volumes of unstructured data, such as emails and documents, using proprietary technology like probabilistic latent semantic analysis (PLSA) for concept-based search and categorization. Its growth included recognition as one of the world's top 10 most innovative big data companies in 2013 by Fast Company and securing a major eDiscovery contract with the U.S. Securities and Exchange Commission that year.[2]
Recommind was founded in 2000 in San Francisco, California, by Jan Puzicha, Thomas Hofmann, and Derek Schueren.[2] Puzicha and Hofmann, drawing from their research at the University of California, Berkeley, developed and patented PLSA—a probabilistic technique for data analysis—in 1999, which became the foundational technology for Recommind's concept search and auto-categorization capabilities.[2] The idea emerged from advancing information retrieval beyond keyword matching, targeting efficient management of complex enterprise data.
Early traction built through investments from firms like Kennet Partners, positioning Recommind as a leader in unstructured data solutions.[1][3] Pivotal moments included its 2013 accolades and SEC contract, culminating in the 2016 acquisition by OpenText, which integrated its technology into a broader information management ecosystem.[1][2]
Recommind stands out in the legal tech and enterprise search markets through these key strengths:
These features deliver superior speed, ease of use, and developer-friendly integration compared to traditional keyword-based systems.[1][3]
Recommind rides the explosive growth of unstructured data management and AI-driven legal tech, fueled by rising volumes of ESI from digital communications, regulations like GDPR, and big data proliferation. Its timing was ideal: founded amid early AI research, it capitalized on the 2010s big data boom—earning Fast Company praise in 2013—and aligned with eDiscovery demands in high-stakes litigation and compliance.[2] Market forces like increasing data privacy laws and the need for defensible AI in legal processes favor its solutions, as organizations seek tools to govern petabytes of information efficiently.[3][4]
As part of OpenText, Recommind influences the ecosystem by embedding advanced search into enterprise content management, enabling sectors like finance, government, and legal to harness AI for governance and analytics, thus accelerating industry shifts toward intelligent information platforms.[1][2][4]
With OpenText's backing, Recommind is poised to expand its AI capabilities into emerging areas like generative AI for contract intelligence and predictive governance, riding trends in automated compliance and multimodal data analysis. Evolving regulations and data explosion will amplify demand for its semantic tech, potentially driving deeper integration across OpenText's portfolio. Its influence may grow by setting standards in ethical AI for eDiscovery, transforming how enterprises turn data chaos into strategic advantage—just as its founders pioneered PLSA to redefine information access.[2][4]
Recommind has raised $22.5M in total across 2 funding rounds.
Recommind's investors include Sapphire Ventures, Accel, Bowery Capital, Carbide Ventures, DAG Ventures, Index Ventures, Jason Stomel.
