Peer to Peer Magazine

38 All of which can be performed using a mobile device or web browser. Of course, your firm's intranet can provide all of the above answers and workflows, but a knowledgebot can do it in a fraction of the time! Benefits of a Knowledgebot The specific benefits of knowledgebots can be as varied as the environments in which they are used. The beneficiaries of knowledgebots fall into four broad categories: seekers, experts, curators, and the firm. Seekers are individuals who interact with the bot in order to obtain an answer or complete some action. The benefit to the seeker is straightforward - they get what they need faster, and with less effort. Experts are those who provide the raw material for the answers and actions the bot provides. Experts benefit because their expertise can be shared more widely, and with less effort. Curators are responsible for maintaining a robust knowledgebase, and benefit from the knowledge and workflow usage data the knowledgebot provides. The firm or legal department benefits from the resulting collective productivity gains. It also benefits by having a deeper understanding of the knowledge assets (question/answers and workflows) that its professionals use to do their work. In effect, the knowledgebot platform provides an x-ray image of information and process flows throughout its operations. Put simply, firms using knowledgebots will improve the collection, curation, and dissemination of knowledge assets significantly. Speech Recognition Although not absolutely required, seekers have come to expect that they can speak to a bot and have it understand what they say. When connecting to a bot, the hardware or browser software takes care of the speech recognition. Intent Recognition Once speech is converted to text our knowledgebot needs to determine its meaning, or "intent". A request's intent consists of several components, including: 1. The form of the request 2. Any key words or proper nouns that refine the meaning 3. The context within which the request is made For example, the question "what is [colleague's name] standard billing rate?" would be broken down into: It's only AI until you know what it does, then it's just software. — R I C H A R D K E M P , L E G A L A S P E C T S O F A I K N O W L E D G E B O T P R O C E S S F L O W Regardless of the technologies involved, any knowledgebot will need to implement some version of the following process for each request: Each step of which is the culmination of decades of research and development by computer, cognitive, linguistic and hardware scientists. User speaks into microphone 1 Speech converted to text 2 NLP process extracts "intent" and data from text 3 External process takes action and generates response 4 Response text converted back into audio 5 Audio played back to user via device's speaker 6

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