ROSS Intelligence

Context:
- Website: https://www.rossintelligence.com
- It can (typically) provide relevant case law and legal precedents by analyzing queries in plain language, significantly reducing the time required for legal research.
- It can (often) replace traditional legal research methods by dynamically indexing and retrieving cases, eliminating the need for extensive manual curation and secondary sources.
- It can analyze legal documents and highlight key sections, making it easier for lawyers to pinpoint pertinent information quickly.
- It can support various legal practice areas by offering tools that improve the efficiency and accuracy of legal research and document review.
- ...
Example(s):
Counter-Example(s):
- LexisNexis,
- Westlaw,
- Casetext,
- Kira Systems,
- LawGeex AI.
See: AI-Supported Legal Research, Case Law, Virtual Legal Assistant, AI-Supported Contract Review, Contract Management System, AI in Law, Artificial Intelligence, Legal Technology, Automation.

References

(YComninator, 2024) ⇒ https://www.ycombinator.com/companies/ross-intelligence Retrieved: 2024-06-24.
- QUOTE: Founded by two computer scientists and an attorney, our mission is to develop technologies that increase access to legal services around the world. We are going after the $8B legal research market with our AI-powered legal research platform that allows lawyers to research in 80% less time and find cases they would have otherwise missed. Today, we are helping lawyers and law firms, including some of the world's largest, offer better and more affordable service to clients.

(ChatGPT-OpenAI, 2024) ⇒ Prompt: Summarize the concept ROSS Intelligence (AI-powered legal research platform) in 1- 2 paragraphs. ChatGPT (model:gpt-4o). Retrieved: 2024-06-24.
- QUOTE: ROSS Intelligence is an AI-powered legal research platform designed to augment the capabilities of legal professionals by streamlining the research process. Leveraging advanced natural language processing and machine learning algorithms, ROSS enables users to pose questions in plain English and receive precise, contextually relevant legal information and case law in response. This significantly reduces the time and effort required to sift through vast amounts of legal texts, ensuring that lawyers can quickly and efficiently find pertinent information to support their cases.
  The platform is designed to integrate seamlessly with existing legal workflows, enhancing productivity by providing intuitive, user-friendly interfaces and powerful search functionalities. ROSS's ability to continuously learn and improve from user interactions positions it as a cutting-edge tool in the legal tech space, aimed at increasing accuracy, reducing costs, and ultimately enabling legal professionals to focus more on strategic and analytical tasks rather than manual research.

(Von Simson, 2019) ⇒ Charlie von Simson (2019). "How ROSS AI Turns Legal Research On Its Head". In: ROSS Intelligence Blog.
- QUOTE: The traditional platforms like Westlaw and Lexis governed the way many of us learned to do legal research. We were taught in law school to start with broad searches and systematically narrow them down, inefficiently navigating an upside-down research pyramid. Not surprisingly, that approach was heavily dependent on using the legacy platforms’ proprietary materials.(...).
  Unlike legacy systems, ROSS takes you directly to the best cases to support your argument. ROSS ranking and retrieval algorithms replace the curation function of secondary sources to provide you with the correct universe of relevant cases in response to your first natural language query. The system is also dynamically indexed to respond to your research queries rather than relying on an inflexible cadre of human editors. Once you have reviewed the most relevant cases you can then expand your search if you need more context. The result is far more productive research that your clients won’t hesitate to pay for.