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Discover how small law firms can leverage LLMs and AI in 2025. Learn practical applications, best practices, and strategies to enhance your legal practice with Gavel's expert guide.
Easy intake and document automation to auto-populate your templates.
Tired of spending hours of your precious time on research and repetitive tasks like document drafting? Small law firms can save time and money, focus on tasks requiring critical thinking, and reduce human error by leveraging LLM technology. Large Language Models (LLMs) are advanced AI systems designed to understand and generate human-like text based on extensive training data. By integrating LLMs, such as those powered by generative AI, law firms can enhance their efficiency and effectiveness. Here are 3 ways small law firms should use LLMs in 2025.
Small law firms can utilize LLMs to automate tasks traditionally performed by paralegals, including document summarization and classification. LLMs such as Everlaw and Luminance can rapidly and accurately summarize large volumes of documents, allowing lawyers to quickly identify key information. Additionally, LLMs can classify documents into relevant categories, streamlining organization and retrieval. This automation frees up valuable time for lawyers to concentrate on work that demands creativity and critical thinking.
LLMs can assist in creating the initial drafts of legal documents, such as pleadings. AI legal assistants, like Gavel Exec, offer a risk-free way to draft, redline, and analyze documents directly in Word. By generating well-structured drafts, LLMs help lawyers save time and focus on refining and customizing the content to fit specific needs. Gavel’s document automation tools complement this by further streamlining document creation and management, enabling lawyers to focus on high-value tasks and improving overall productivity.
LLMs such as Casetext and Westlaw Edge can pull from extensive legal databases to identify relevant cases, statutes, and opinions. This capability allows small law firms to access up-to-date legal research, ensuring that they are equipped with the most pertinent information for building strong legal arguments. Utilizing LLMs enhances the quality of legal services by providing comprehensive insights and supporting effective case strategies.
Small law firms can harness the power of LLMs to automate routine tasks, improve document drafting, and enhance legal research. The integration of large language model technology provides significant benefits, including time and cost savings, increased focus on critical thinking, and reduced human error. By incorporating LLMs with Gavel’s document automation tools, small law firms can maximize productivity and client satisfaction. Exploring and applying generative AI and LLMs will help small firms stay competitive and efficient in the evolving legal landscape.
Try Gavel for free to start automating your repetitive documents today. Get started fast with our free No-Setup Automated Forms.
How are lawyers using legal-grade AI directly in Microsoft Word to review employment contracts faster and more accurately? Gavel Exec flags missing or risky clauses, like unenforceable non-competes or vague severance terms, and offers redlines and benchmarking based on your internal standards. Whether you're reviewing third-party paper or updating templates, Gavel Exec gives you a head start without sacrificing legal judgment.
Employment lawyers are using AI tools like Gavel Exec to review contracts, handbooks, and HR policies faster and more accurately, without sacrificing legal judgment. With built-in playbooks for multi-state compliance and rule-based redlining directly in Word, Gavel Exec helps attorneys flag risks, enforce internal standards, and stay ahead of shifting employment laws. The result: more consistent, defensible work product in less time.
To get the most value out of Gavel Exec, your Playbooks should work like clear, issue-specific checklists for the AI, just like training a junior associate. The best Playbooks break down each legal concern into focused Rules, with detailed guidance in the Rule Description to help the AI know what to look for, where to look, and how to evaluate it. This guide shows you how to name and structure each Rule, write strong descriptions, and use examples to get precise, reliable results, clause by clause.
