更快地获得自信的答案|白皮书

Pairing the best of Al technologywith the best legal content Getting to a confidentanswer faster GenerativeAl for legalresearch boastsclearbenefits:It saves timeand increasesefficiency. accurate, and relevant data. With the help of Al-Assisted Research on Westlaw Precisionwith CoCounsel, you can get to a confident answer faster and with more accuracy. professionals embracing artificial intelligence is growing.Its effect has been comparedto the performance jump from searching printed law books to researching online - aleapfrog effect in the speed and completeness of answers - and that gives lawyers whouse it a competitive edge. GenerativeAlforlegalresearchboastsclearbenefits:Itsavestimeandincreasesefficiency.Al-Assisted Research can process and analyzevast amounts oflegal texts muchfaster than humans, allowing you to focus on tasks uniquely suited to your experience andexpertise - something Al-Assisted Research can't handle. In a recent Thomson Reuters?survey, respondents predicted it could save them as much as 12 hours per week, with asmany as four hours per week in the next year alone. That's the equivalent of adding a full-timecolleagueamongtenlawyersusingit. Al-Assisted Research can also uncover patterns and connections that would beresearch approaches that might not have occurred to you. Not all Al-assisted research is created egual While many Al-powered research tools are available,not all maybe trustworthy.Al-Assisted Research on Westlaw Precision with CoCounsel is unique in its ability to matchcutting-edge technology with trusted content. Westlaw has leveraged artificial intelligenceto provide editor-created answers for over a decade, and now its Al-Assisted Research Al-Assisted Research uses Large Language Models (LLM) to scour data related to a queryLLMs are machine-learning algorithms that can predict language based on found inputs.And although this is an integral part of an Al-powered research tools solution, LLMs canalso create information that doesn't exist -with hallucination examples you've probablyheardabout Retrieval Augmented Generation (RAG) is a technology widely used to minimizehallucinations. RAG depends on search results and factually accurate content to ensureLLM responses are based in reality. However, the effectiveness of RAG responses is based Al-Assisted Research on Westlaw Precision with CoCounsel focuses the large languagemodelontheactuallanguageofcases,statutes,andregulations.Itdoesn'tasktheLLMto generate text based on the question asked but rather the content it searches. WithinWestlaw content, it finds the very best cases, statutes, and regulations to address thequestion,aswellastheverybestportionsofthosecases,statutes,andregulations.Therthe large language model uses its statistical understanding of language patterns to focusonthosespecificresourcesandproduceananswer.Thisprocessdramaticallyreduceshallucinationand dramaticallyimprovesaccuracy. In addition to its vast digital storehouse of legal precedent, Westlaw Precision withCoCounsel draws from editorial enrichments that include: KeyCite, which flags the validity of cases and helps you ensure you're citing good law The Key Number System, which is the most comprehensive and sophisticatedcategorization of U.s. law. Editorenhancementswrittenbyhundreds of bar-admitted lawyerstoensurethediscoveryprocessidentifiestheverybestmaterialtobringtothelanguagemodel. Westlaw Precision withCoCounsel zeroes in on the actual language of cases, statutes,andidentifiesthebestofthose sourcesfrom withinWestlaw contenttoaddressthe question,as well as the most relevant sections of those documents. The large language modelthen uses its statistical understanding of language patterns to focus on these specificimprovesaccuracy,ensuringthatanswers fromWestlaw Precision with CoCounsel don'tincludefakecitationsorcasenames. Accuracy While the prospect of hallucinations can cause heartburn for a legal researcher, the moredifficultandmoreimportantproblemtosolvewithAl-AssistedResearchisaccuracy.It'sultimately inaccurate. To ensure the LLM delivers accurate information, it needs to collectthe correct law for the question and deliver that content to the LLM with the correct set ofprompts. use word phrases like moral rights, or reference the Visual Artist Rights Act, or even thewords“destruction"”or"modification." Westlaw Precision with CoCounsel categorizes this wide variety of language into just twoknowthatthosekeynumbersexist,butAl-AssistedResearchdoes.Andthatmeansitcan do a better job with discovery, identifying the necessary material to use to create ananswer. BecauseWestlawPrecisionwithCoCounselisabletoleverageallitsresourcesandthis question. Can a building owner completely and permanently cover up a statue? Theanswerisyes.Therightcase,therightstatute,the rightstandards,andthekeyissuesareall in the answer. Compare that to an answer from OpenAl's ChatGPT Plus, which returns the oppositedifferent potentially applicable standards, Llike