Legal Practice-Skilled Conversational AI 3rd-Party Platform

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A Legal Practice-Skilled Conversational AI 3rd-Party Platform is a legal-domain conversational LegalTech platform that supports the creation of legal practice conversational AI systems (designed to assist legal professionals with various legal tasks through natural language interaction).

References

2023

  • (Casetext, 2023) ⇒ https://casetext.com/cocounsel/
    • QUOTE: The legal AI you've been waiting for.

      Accomplish shockingly thorough, accurate, and efficient work—so you can do more of what AI can’t.

    • What can CoCounsel do?
      • Review Documents: Ask a question about your documents and CoCounsel will read them in full and answer, with citations to sources. Quickly find everything from critical testimony in voluminous transcripts to key terms in dense contracts.
      • Prepare for a Deposition: Get a thorough deposition outline in no time. Describe the deponent and what’s at issue in the case, and CoCounsel identifies multiple highly relevant topics to address and drafts questions for each.
      • Search a Database: Ask a question and CoCounsel will search your documents, read the relevant ones, and answer. Find only what you need, like the right template or precedent, previous work product, or internal know-how.
      • Legal Research Memo: Ask a research question, and give as much detail as you like—the facts, jurisdiction, nuance—and in minutes CoCounsel retrieves on-point resources and provides an answer with explanation and supporting sources.
      • Summarize: Interpret and condense critical information in any type of document—including dense agreements, complex contracts, and lengthy opinions—faster than humanly possible and without missing key details.
      • Extract Contract Data: Quickly get answers and a complete list of relevant clauses from every contract in a set, based on your questions, making it easier to accurately track deal terms, dollar amounts, and dates.
      • Contract Policy Compliance: CoCounsel captures every single clause in a set of contracts that doesn’t comply with a policy or set of policies, reports the risks of using non-compliant language, and recommends revisions.

2023

  • (SpeedLegal, 2023) ⇒ https://speedlegal.io/post/legal-chatbots-for-lawyers
    • QUOTE: A chatbot is a computer programme made to converse with human users over the internet.
    • In the legal industry, chatbots are often found on the law firm’s website to book clients’ appointments and by asking specific questions from clients they can be connected with the right department of the firm. However, chatbots cannot be conceived as a replacement for a lawyer.

      A legal live chat feature of Chatbot is increasingly used by law firms. For instance, a lawyer can’t be available all time to answer queries of website visitors, while attending to another client. Legal chatbots are easily available to answer your legal queries 24/7.

      Bots are designed to resolve customers’ issues, rather than simply directing them to a concerned department. They are intelligently programmed to address basic legal questions. Besides, they can create documents such as NDAs based on information fed into the system by a client. AI-powered chatbots work to address some basic individual issues without human lawyers’ interference and help them refine their responses to clients.

2023

  • (Lewis, 2023) ⇒ Daniel Lewis. (2023). “How Autonomous is Your Legal AI Assistant?." In: LegalOn Technologies Blog.
    • QUOTE: "As AI for legal work rapidly advances, it has become hard to mark where we are on the curve of what AI can and can’t do... I’ve developed a framework for understanding the levels of AI autonomy in legal work, focusing on contract review and drafting."
    • NOTE:
      • It introduces a framework to categorize the levels of AI autonomy in the legal field, particularly in contract review and drafting. The autonomy levels of self-driving cars inspire the framework and aims to provide clarity on the capabilities and limitations of AI in legal work amidst the marketing hype from legal technology companies. The author identifies five levels of AI autonomy, ranging from basic assistance in document organization to full autonomy in contract review and drafting without direct human intervention. The post emphasizes the current state of technology at Level 3, where human oversight is crucial, especially in complex situations, and discusses the potential future advancements and the evolving role of legal professionals in leveraging AI.
      • It suggests that accuracy is a critical dimension that must increase with autonomy to reduce the need for human intervention.
      • It acknowledges the variance in technology effectiveness across different legal domains, indicating that autonomy may work differently in litigation compared to transactional tasks.
      • Level 1 autonomy focuses on identifying contract and clause types, aiding in the organization and categorization of contracts.
      • Level 2 autonomy enhances assistance by extracting specific information from contracts, which can significantly save time and effort.
      • Level 3 autonomy introduces conditional automation where the system can identify problems and suggest solutions in contracts, requiring lawyer's approval for those solutions.
      • Level 4 autonomy, which is not yet available, would allow the AI to fully review, revise, and draft contracts within limited domains without the need for line-by-line human review.
      • Level 5 autonomy, also not available today, represents a future where AI can handle all contract review, revision, and drafting tasks without direct human intervention, possibly overseen by automated, data-driven quality control systems.
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