Wir machen Daten zu Wissen. LeReTo nutzt Data Science, Netzwerkanalyse & AI, um Fachcontent für die juristische Recherche aufzubereiten.
Unsere Data Pipeline übernimmt das für Highend-Such- und GenAI-Anwendungen essenzielle Data Engineering, damit eigene Daten und (PDF-)Dokumente semantisch analysiert, juristisch tokenisiert, gelabelt, klassifiziert, indiziert, verlinkt und interaktiv werden. Hochwertige Metadaten liefern wir via API oder integrieren unsere Tools direkt in Ihre Datenbanken.

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At LeReTo, we make use of open legal data across Europe by using narrow-AI, legal network analysis and semantic methods on legal data. 

LeReTo is a legal research tool that finds references in PDF documents. Our engine enriches PDFs in real-time with citation and knowledge links. So instead of searching for each source separately in databases, you can let our legal tech do the research in your files within seconds. The result: An annotated PDF that contains links to case law databases or other useful knowledge. By doing so, we cut down the time spent on manual (legal) research.

Our technology is amongst the most advanced and performant narrow-AI research tools on the market. It is especially useful for judges, litigation lawyers and legal professionals that works a lot with third party documents.

We work with some of the most innovative law firms and content providers to make legal research and access to knowledge as easy as possible.

Mostly we work with case law data, law and other related data (for example data from the Austrian Rechtsinformationssystem “RIS” or the EUR-Lex-database, and many more from Germany, Switzerland, Poland, Netherlands, UK, …). Our approach is document-based research. We make open legal data (and legal databases) accessible from users’ documents, or we draw knowledge graphs and network visualisations. 

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