Word of the Week: What is a “Token” in AI parlance?

Lawyers need to know what “tokens” are in ai jargon!

In artificial intelligence, a “token” is a small segment of text—such as a word, subword, or even punctuation—that AI tools like ChatGPT or other large language models (LLMs) use to understand and generate language. In simple terms, tokens are the “building blocks” of communication for AI. When you type a sentence, the system breaks it into tokens so it can analyze meaning, predict context, and produce a relevant response.

For example, the sentence “The court issued its opinion.” might be split into six tokens: “The,” “court,” “issued,” “its,” “opinion,” and “.” By interpreting how those tokens relate, the AI produces natural and coherent language that feels human-like.

This concept matters to law firms and practitioners because AI systems often measure capacity and billing by token count, not by word count. AI-powered tools used for document review, legal research, and e-discovery commonly calculate both usage and cost based on the number of tokens processed. Naturally, longer or more complex documents consume more tokens and therefore cost more to analyze. As a result, a lawyer’s AI platform may also be limited in how much discovery material it can process at once, depending on the platform’s token capacity.

lawyers have an ethical duty to know how tokens apply when using ai in their legal work!~

But there’s a second, more important dimension to tokens: ethics and professional responsibility. The ABA Model Rules of Professional Conduct—particularly Rules 1.1 (Competence), 1.6 (Confidentiality of Information), and 5.3 (Responsibilities Regarding Nonlawyer Assistance)—apply directly when lawyers use AI tools that process client data.

  • Rule 1.1 requires technological competence. Attorneys must understand how their chosen AI tools function, at least enough to evaluate token-based costs, data use, and limitations.

  • Rule 1.6 restricts how client confidential information may be shared or stored. Submitting text to an AI system means tokens representing that text may travel through third-party servers or APIs. Lawyers must confirm the AI tool’s data handling complies with client confidentiality obligations.

  • Rule 5.3 extends similar oversight duties when relying on vendors that provide AI-based services. Understanding what happens to client data at the token level helps attorneys fulfill those responsibilities.

a “token” is a small segment of text.

In short, tokens are not just technical units. They represent the very language of client matters, billing data, and confidential work. Understanding tokens helps lawyers ensure efficient billing, maintain confidentiality, and stay compliant with professional ethics rules while embracing modern legal technology.

Tokens may be tiny units of text—but for lawyers, they’re big steps toward ethical, informed, and confident use of AI in practice. ⚖️💡

🎙️ Ep. #127: Mastering Legal Storytelling and AI Automation with Joshua Altman 🎙️⚖️

In Episode 127, I sit down with Joshua Altman, Managing Director of Beltway.Media, to decode the intersection of legal expertise and narrative strategy. 🏛️ We dive deep into the tech stack that powers a modern communications firm and explore how lawyers can leverage AI without losing their unique professional voice. Joshua shares actionable insights on using tools like Gumloop and Abacus.AI to automate workflows, the critical mistakes to avoid during high-stakes crisis management, and the real metrics you need to track to prove marketing ROI. 📊 Whether you are a solo practitioner or part of a large firm, this conversation bridges the gap between complex legal work and compelling public communication.

Join Joshua Altman and me as we discuss the following three questions and more!

  1. What are the top three technology tools or platforms you recommend that would help attorneys transform a single piece of thought leadership into multiple content formats across channels, and how can they use AI to accelerate this process without sacrificing their professional voice?

  2. What are the top three mistakes attorneys and law firms make when communicating during high-stakes situations—whether that’s managing negative publicity, navigating a client crisis, or pitching to potential investors—and how can technology help them avoid these pitfalls while maintaining their ethical obligations?

  3. What are the top three metrics for their online marketing technology investments that attorneys should actually be tracking to demonstrate return on investment, and what affordable technology solutions would you recommend to help them capture and analyze this data?

In our conversation, we cover the following:

  • [00:00] Introduction to Joshua Altman and Beltway.Media.

  • [01:06] Joshua’s current secure tech stack: From Mac setups to encrypted communications.

  • [03:52] Strategic content repurposing: Using AI as a tool, not a replacement for your voice.

  • [05:30] The "Human in the Loop" necessity: Why lawyers must proofread AI content.

  • [10:00] Tech Recommendation #1: using Abacus.AI and Root LLM for model routing.

  • [11:00] Tech Recommendation #2: Automating workflows with Gumloop.

  • [15:43] Tech Recommendation #3: The "Low Tech" solution of human editors.

  • [16:47] Crisis Communications: Navigating the Court of Public Opinion vs. the Court of Law.

  • [20:00] Using social listening tools for litigation support and witness tracking.

  • [24:30] Metric #1: Analyzing Meaningful Engagement (comments vs. likes).

  • [26:40] Metric #2: Understanding Impressions and network reach (1st vs. 2nd degree).

  • [28:40] Metric #3: Tracking Clicks to validate interest and sales funnels.

  • [31:15] How to connect with Joshua.

RESOURCES:

Connect with Joshua Altman

Mentioned in the episode

Hardware mentioned in the conversation

Software & Cloud Services mentioned in the conversation

  • Abacus.AI - AI platform mentioned for its "Root LLM" model routing feature.

  • ChatGPT - AI language model.

  • Claude - AI language model.

  • Constant Contact - Email marketing platform.

  • Gumloop - AI automation platform for newsletters and social listening.

  • LinkedIn - Professional social networking.

  • MailChimp - Email marketing platform.

  • Proton Mail - Encrypted email service.

  • Tresorit - End-to-end encrypted file sharing (secure Dropbox alternative).