Digital White Papers

27 WWW.ILTANET.ORG | ILTA WHITE PAPER LITIGATION AND PRACTICE SUPPORT Meet the Algorithms: AI Is Joining Your Firm something the more we do it. AI is particularly useful for repetitive or time-intensive tasks and in-paern recognition not easily ascertained by humans. The goal of AI is to create automated systems capable of conducting tasks and solving problems without human assistance. Not surprising, it is already prolific in the legal profession and is creating new ways for lawyers to evaluate data. AI Is Already Moving In AI manifests itself in many ways; some evident, such as in technology-assisted reviews, and others hidden, such as with online assistants. Some of the tools where you might see AI in action are listed below in the order of technical skills required. » Computer-Assisted Techniques: Keyword searches are standard tools used in litigation support. When working with both structured and unstructured data, these types of searches have become an essential tool in the litigator's toolbox. Typical AI Methods Utilized: Natural language processing, understanding semantics and noise filtering » Automatic Document Composition: This includes the automatic population of legal documents, including the automation of nondisclosure agreements, patents, trademarks and standard types of contracts. Typical AI Methods Utilized: Natural language processing and understanding semantics » AI-Powered Assistants: This tool allows for the quick interpretation of contracts, quantifies risks and identifies and resolves defects so users can be more confident in signing a contract. Typical AI Methods Utilized: Machine learning, contextual awareness and neural networks » Social Media Discovery: Here AI uses social media analytics to track activities of individuals and assess personality types. Emotional intelligence uncovered through social media mining is a tool becoming common in the venire research process –– a technique sensationalized on the CBS television show "Bull." Typical AI Methods Utilized: Natural language processing, emotional intelligence and understanding semantics » Legal Predictions: AI technology can aid in the prediction of judgment outcomes as influenced by jury pool, presiding judge, jurisdiction and/or opposing counsel. It produces paern recognition for reasoning and decision automation. Typical AI Methods Utilized: Machine learning, contextual awareness and neural networks » Ediscovery: Evaluation of electronically stored information (ESI) is the most well-known use of AI in legal technology. With terabytes of documents to review in discovery, computers have Assign the role of "technology advocate" to a millennial employee. Technical degrees aren't a requirement; just find someone interested in following technology trends.

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