Time for another infographic from eDiscovery Today and LTMG! This new infographic illustrates 12 legal use cases for generative AI!
As was the case when we created the 2023 Internet Minute Infographic earlier this year, I coordinated with the team at Legal Tech Media Group (LTMG) to put together this infographic on 12 legal use cases for generative AI. In this case, I began by identifying legal use cases for generative AI that I could think of, and several of the use cases on the list came from my own brainstorming.
However, I also got help from GPT-4 by asking it this question: “Could you identify use cases for generative AI that can benefit the legal community today?” GPT-4 gave me a couple of use cases that I hadn’t thought of (e.g., Litigation Financing). So, the list reflects my thoughts as well as those from GPT-4! And, once again, LTMG created the infographic to reflect the results! Thanks to Cathy Kenton and the team at LTMG for creating a terrific looking infographic!
Of course, the “today” part of how much it can help with some of these use cases might be debatable. 😉 Still, many of these are either valid today, or likely will soon be! So, I’m going with it! Here’s the infographic on 12 legal use cases for generative AI full sized (also available for download from here):
And here are the descriptions for the 12 legal use cases for generative AI:
- Contract Generation and Analysis: Generative AI can assist in auto-generating standard contracts, streamlining the process and reducing the chances of human errors. It can automatically identify and extract key clauses and terms from contracts, such as obligations, liabilities, durations, and penalties, and recognize non-standard or risky clauses that require closer attention.
- Pleadings and Motions Drafting & Automation: Generative AI can create initial drafts of pleadings and motions based on predefined templates, adjust templates dynamically based on case specifics, jurisdiction, or applicable laws, and help ensure consistency within the document.
- Predictive Case Analysis: Generative AI models can be trained on historical case outcomes to predict potential results in similar future cases, providing insights on how to strategize or whether to settle.
- Legal Chatbots: Generative models can power legal chatbots that provide preliminary legal advice, answer common questions, or help users navigate complex legal processes.
- Translation and Multi-language Support: For law firms and legal departments dealing with international matters, generative AI can assist in identifying and/or translating legal documents or providing multi-language support for client interactions.
- Legal News and Updates: Generative AI can be trained to generate summaries or analyses of recent legal developments, court decisions, or regulatory changes, ensuring lawyers stay updated without needing to sift through extensive documents.
- Knowledge Management: Generative AI can assist in auto-generating knowledge repositories or FAQs based on the internal documents, discussions, or previous cases of a law firm. It can even identify and catalog the expertise and experience of attorneys within the firm to facilitate optimal team formation for specific cases.
- Client Communication and Management: For routine client updates or communications, AI can assist in generating drafts or even automating the process, ensuring timely and consistent communication. It can also organize and manage logs of client interactions, ensuring continuity in communication and service delivery.
- Intellectual Property (IP) Management: In the domain of patents, trademarks, and copyrights, generative AI can organize and manage intellectual property assets, ensuring timely renewals and compliance. It can also assist in drafting applications, conducting searches, or monitoring for potential infringements or opportunities for IP monetization.
- Litigation Financing: AI models can be used to evaluate and quantify the potential risks and the potential success rate of cases, helping litigation financing firms decide where to invest. It can also be applied to analyze and optimize the firm’s litigation financing portfolio, balancing risks and returns.
- Continuing Legal Education (CLE) and Training Preparation: Generative AI can assist in the creation of realistic case scenarios for training purposes, helping legal professionals hone their skills. It can help automate the creation of quizzes and assessments to test knowledge and reinforce learning. Generative AI can analyze individual learning behaviors, performance, and preferences to create adaptive learning paths for each professional. It can even track and manage CLE credits and compliance automatically, reducing administrative burdens.
- eDiscovery and Evidence Review: Generative AI can help streamline eDiscovery workflows in several ways. It can automatically identify and categorize relevant ESI across the document collection. It can analyze the sentiment in communications, which might reveal underlying intentions or relationships. And it can map out key events, communication patterns among entities, and actions in a chronological format, aiding in case understanding, and patterns or anomalies in the data that can lead to critical insights.
While these use cases are promising, it’s essential to remember that the application of AI in the legal domain requires a thorough understanding of the technology’s limitations. AI should always be seen as a tool to augment human expertise rather than replace it.
So, what do you think? Do you agree with this list of 12 legal use cases for generative AI? Or would you replace any of these use cases? Please share any comments you might have or if you’d like to know more about a particular topic.
Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by my employer, my partners or my clients. eDiscovery Today is made available solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscovery Today should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.