DISCO Announces Cecilia: an AI Chatbot for Large-Scale Ediscovery, Designed to Let Lawyers Interrogate Their Data
DISCO (NYSE: LAW) has announced the upcoming release of DISCO Cecilia, an AI chatbot aimed at enhancing evidence retrieval for lawyers. Utilizing generative AI and large language models, Cecilia will provide direct answers to legal queries with citations from private Ediscovery databases, rather than relying solely on public data. Expected to launch commercially in 2023, DISCO Cecilia promises to simplify the legal search process, allowing users to ask questions without extensive document reviews. The company will showcase Cecilia at Legalweek New York 2023 and is now accepting registrations for demos.
- Launch of DISCO Cecilia, enhancing evidence retrieval efficiency for lawyers.
- Integration of generative AI into legal technology could streamline processes.
- Potential to significantly reduce time spent on legal research and document review.
- Dependence on successful integration and development of Cecilia into existing systems.
- Risks and uncertainties related to market competition and regulatory changes.
- Forward-looking statements carry inherent risks that may affect actual results.
Figure 1, above, shows DISCO Cecilia in a DISCO Ediscovery database loaded with publicly available data from the Enron litigation answering questions about how Enron profited from the
DISCO Cecilia is designed to allow lawyers to ask questions and receive answers with specific citations to supporting evidence in large-scale, private DISCO Ediscovery databases. Unlike chatbots that answer based on only public data sources or the Internet, DISCO Cecilia is designed to cite evidence drawn from the user’s private documents in DISCO Ediscovery. These private DISCO Ediscovery databases can contain millions or tens of millions of documents.
DISCO will demonstrate DISCO Cecilia this week and accept waitlist registrations online and at Legalweek New York 2023 for interested customers. To schedule a demo and sign up for further release updates, visit csdisco.com/discovery/cecilia.
"Our firm has increasingly looked to integrate new technologies that can increase efficiencies and enhance the likelihood of success in legal matters," said
Many traditional approaches to ediscovery involve asking a question about the evidence, crafting searches to identify documents related to that question, reviewing the documents to find evidence, and then answering the question based on the evidence. For example, a lawyer investigating a surge in electricity prices might ask the question “how was energy company X involved in the rising prices?” and then craft searches to find documents and communications related to the relevant energy market issues. Then the lawyer reviews those documents and applies external knowledge to determine whether they constitute evidence of market manipulation, and forms a view of the answer to the question with citations to supporting evidence.
DISCO Cecilia is designed so that a lawyer can simply ask the ultimate question and get an AI-generated direct answer, with citations to supporting evidence, without the steps of crafting a search and reviewing documents. These answers could then be the starting point for further exploration and document review in DISCO Ediscovery or testimony review in DISCO Case Builder.
“As a law firm for some of the world’s most innovative companies, we are constantly looking for ways to leverage artificial intelligence in everything we do,” said
“With DISCO Cecilia, we believe that lawyers will be able to treat a DISCO Ediscovery database like a witness who has read every document and always tries to tell the truth by citing documents for every answer. We expect that question-and-answer workflows, like those enabled by DISCO Cecilia, will be a powerful addition to the traditional search-and-review workflows enabled by existing DISCO products,” said Kiwi Camara, DISCO’s Chief Executive Officer. “DISCO’s mission is to combine world-class engineering with a deep love and respect for the law to build products that make the law better. We are delighted to do this again in the space of natural language processing, generative AI, and advanced search technologies resulting in an amazing DISCO chatbot for legal.”
Forward-Looking Statements
This press release contains forward-looking statements regarding Cecilia, including her features and capabilities and the timing of commercial availability, denoted by words such as “will”, “expect”, “believe”, and similar phrases that denote future expectation or intent. You should not rely upon forward-looking statements as predictions of future events. The outcome of the events described in these forward-looking statements is subject to known and unknown risks and uncertainties, including (i) our ability to continue the development of Cecilia and integrate Cecilia into our broader product suite; (ii) the laws and regulations that currently apply or become applicable to our business in the jurisdictions in which we operate; and (iii) the product offerings of competitors and new market entrants, as well as the risks facing DISCO that are described in its filings with the
Forward-looking statements represent DISCO’s management’s beliefs and assumptions only as of the date such statements are made. DISCO undertakes no obligation to update any forward-looking statements made in this press release to reflect events or circumstances after the date of this press release or to reflect new information or the occurrence of unanticipated events, except as required by law.
About DISCO
DISCO (NYSE: LAW) provides cloud-native, artificial intelligence-powered legal solutions that simplify legal hold, legal request, ediscovery, legal document review and case management for enterprises, law firms, legal services providers, and governments. Our scalable, integrated solutions enable legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters. For more information, visit www.csdisco.com.
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Source: DISCO
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