Paralegals and AI Flashcards
LLM
Large Language Model
Clio
Case management platform
Calladius AI
An AI that does contract analysis for contract due diligence and review
Casetext Cocounsel
Scans for relevant statutes and precedents for client meetings
Casetext Basic Research
Enter queries and receive summaries of recommended next steps for clients
Copilot
Drafts lists of questions for clients and performs case research and document review
Anthropic
Summarizes documents for document review
Gemini
Creates custom templates for drafting documents
Prompt
The input text or instructions provided to an AI language model or system to generate a desired output. The quality and specificity of the prompt play a crucial role in eliciting relevant and coherent responses from language models.
Natural Language Processing (NLP)
The ability of AI systems to understand, interpret, and generate human language, both written and spoken. This can be used for tasks like legal research, contract analysis, and document summarization.
Machine Learning (ML)
The process by which AI systems can learn and improve from experience without being explicitly programmed. ML algorithms can be used for tasks like predicting case outcomes, identifying relevant legal precedents, and analyzing large volumes of legal data.
Predictive Analytics
The use of data mining, statistical modeling, and machine learning techniques to analyze current and historical data to make predictions about future events or trends. This can be used in legal practice for tasks like early case assessment and litigation risk analysis.
Legal Automation
The use of AI and other technologies to automate routine legal tasks, such as document drafting, e-discovery, and due diligence processes, with the aim of increasing efficiency and reducing costs.
Legal Analytics
The application of data analysis and visualization techniques to legal data, such as case law, contracts, and court records, to uncover patterns, trends, and insights that can inform legal strategies and decision-making.
