INTRODUCTION

---

      The American courtroom is changing. Jurors who once sat through hand-drawn diagrams and static overhead transparencies now arrive in the jury box having spent years consuming professional grade digital media. They binge-watch documentary series, process infographics on social media, and evaluate complex arguments through polished visual frameworks. The trial lawyer who ignores this shift does so at the client's peril.
 
      Artificial intelligence platforms have emerged as force multipliers for the modern litigator. These tools do not replace the strategic instincts of a seasoned trial lawyer; instead, they compress the time required to execute those instincts at a high level. A presentation that once required a dedicated graphic design team can now be assembled in hours. An opening statement that once lived only in a lawyer's notes can be structured, stress-tested, and refined through iterative AI-assisted drafting. Complex scientific, financial, or technical evidence can be distilled into visuals that a juror with no specialized knowledge can grasp in seconds.
 
      This paper surveys the AI platforms most useful to the trial practitioner, with a particular focus on creating impactful courtroom visuals, simplifying complex issues for lay audiences, drafting opening statements and closing arguments, and preparing examination outlines. It concludes with an examination of the ethical considerations every lawyer must understand before integrating these tools into active litigation.
 

I. AI PLATFORMS FOR TRIAL LAWYERS: AN OVERVIEW

---

Several AI platforms have become especially relevant to trial practice. Each has distinct strengths, and the sophisticated litigator will develop familiarity with a portfolio of tools rather than relying on any single platform.
 

ChatGPT (OpenAI)

      OpenAI's ChatGPT, particularly in its GPT-4o and o1 iterations, is among the most versatile large language model tools available to practitioners. Its utility in trial practice centers on text generation: drafting, outlining, restructuring, and refining written and spoken content. Trial lawyers use ChatGPT to iterate rapidly on opening statement themes, generate multiple versions of a closing argument for comparison, draft cross-examination question sequences, and pressure-test jury instructions for clarity. The platform's conversational interface makes it accessible without technical training. Users can paste in a factual summary, instruct the model to adopt the voice of a trial lawyer addressing a skeptical urban jury, and receive a structured draft within seconds.  Because this is an open platform it is critical to avoid using client confidential or HIPAA protected information. 
 
      For document-heavy cases, ChatGPT's file upload capability allows counsel to feed deposition transcripts or expert reports into the model and request identification of key admissions, inconsistencies, or themes. This capability can dramatically accelerate deposition preparation and cross-examination planning in complex commercial or product liability matters. The enterprise version of this platform is closed, removing concerns about disclosing confidential information. The open version can be used with publicly filed pleadings and transcripts without that same concern and limitation.
 

Gamma.app

      Gamma is a purpose-built AI presentation platform that deserves special attention from litigators. Unlike general-purpose language models, Gamma is specifically engineered to transform text or outlines into polished, visually structured presentations, documents, and webpages. The workflow is straightforward: a lawyer enters a topic, paste in notes, or provides a brief outline, and Gamma generates a fully formatted presentation complete with thematic design elements, suggested imagery, and logically sequenced slides.
 
      For trial lawyers, Gamma's most powerful feature is its ability to convert a factual narrative or legal argument into a presentation-ready format without requiring any design skill. An opening statement outline can become a visually compelling slide deck in minutes. A complex product liability timeline can be transformed into an interactive, sequenced visual that walks a jury through events in logical order. Gamma also supports one-page documents and structured web-based presentations that can be displayed on courtroom monitors or shared with co-counsel.
 
   
      Gamma's templates can be customized to match the visual tone of a case. A mass tort case involving sympathetic plaintiffs calls for warm, human-centered design; a commercial arbitration may warrant a cleaner, more data-driven aesthetic. Gamma's AI can adapt its design output accordingly with minimal user input. The platform also allows counsel to insert images, charts, and custom graphics, making it particularly effective for medical illustration cases or financial fraud matters where visual evidence is central.
 

Microsoft Copilot and Copilot in PowerPoint

Microsoft's Copilot, integrated directly into the Microsoft 365 suite, provides AI assistance within Word, PowerPoint, Outlook, and Teams. For litigators already operating within the Microsoft ecosystem, Copilot for PowerPoint is especially valuable. Counsel can generate a full PowerPoint presentation from a Word document or a text prompt, allowing a trial brief or case summary to become a courtroom-ready slide deck with minimal additional effort. Copilot can also redesign existing slides, suggest speaker notes keyed to each slide's content, and summarize lengthy documents for faster review. Its integration with existing firm infrastructure and document management systems gives it a practical advantage over standalone platforms for large-firm practitioners.
 

Canva AI and Magic Design

      Canva has long been a popular graphic design platform for non-designers, and its AI-powered Magic Design and Magic Write features have made it increasingly relevant in trial practice. Canva excels at producing high-quality demonstrative exhibits: timelines, anatomical overlays, side-by-side comparisons, and process flow diagrams. Its library of templates can be adapted for courtroom use, and its drag-and-drop interface makes it accessible to lawyers and paralegals without graphic design experience. For attorneys who produce their own demonstratives rather than outsourcing to litigation support vendors, Canva AI represents a significant productivity upgrade. Magic Write, Canva's integrated text generator, can assist in creating labels, captions, and callout text for exhibits directly within the design interface.
 

Synthesia and AI Video Tools

      While still emerging in trial practice, AI video generation platforms such as Synthesia allow counsel to create professional-quality explanatory videos using AI-generated presenters. These tools have found early traction in day-in-the-life video preparation, product demonstration cases, and accident reconstruction explanations. An AI-generated narrator can walk a jury through a complex financial transaction or a mechanical failure sequence with the visual clarity of a professional documentary, at a fraction of the cost of traditional video production.

 

II. CREATING IMPACTFUL COURTROOM VISUALS

---

      Jury research consistently demonstrates that jurors retain information presented visually at substantially higher rates than information delivered through oral testimony alone. The combination of spoken narrative with supporting visual evidence is the gold standard of courtroom communication. AI dramatically lowers the barrier to producing that combination at a professional level.
 
      Effective courtroom visuals share several characteristics: they are clean and uncluttered, they direct the viewer's attention to a single idea at a time, they are accurate representations of the underlying evidence, and they are designed for the specific audience hearing the case. They are not wordy. AI tools support each of these principles.
 
      Gamma and Canva AI enable counsel to build timelines with professional formatting in a fraction of the time previously required. A chronological narrative that might have taken a litigation graphics vendor several days to produce can now be drafted by counsel in hours, reviewed, and refined before submission to a vendor for final polish — or, in many cases, used directly in the courtroom. For smaller cases where a full litigation support budget is not available, AI-powered design tools democratize access to high-quality visual advocacy.
 
      Process diagrams, anatomical illustrations, financial flow charts, and organizational hierarchies can all be generated or substantially refined through AI tools. Microsoft Copilot can convert data in an Excel spreadsheet directly into a formatted chart for use in a PowerPoint presentation. Canva AI can take a rough sketch of a product's mechanical components and generate a clean, labeled diagram suitable for display. These capabilities allow trial lawyers to move faster and with greater visual consistency across an entire case presentation.
   

III. SIMPLIFYING COMPLEX ISSUES FOR LAY AUDIENCES

---

      Among the most valuable applications of AI in trial practice is its capacity to help lawyers communicate complex subjects to lay audiences. Whether the case involves patent technology, cellular biology, hedge fund accounting, or structural engineering, the trial lawyer's core challenge is the same: transform expert knowledge into a story that twelve ordinary people can understand, believe, and act upon.
 
      AI language models are particularly effective at this task because they are trained on a vast body of explanatory text across virtually every domain of human knowledge. When a lawyer feeds a technical expert report into ChatGPT and asks the model to explain the key opinions in plain English suitable for a high school graduate, the output is often a remarkably usable starting point. The lawyer can then refine that plain-language summary, verify its accuracy with the expert, and use it as the foundation for examination questions, juror handouts, or courtroom demonstratives.
 
      Gamma is particularly effective here because it combines text simplification with visual scaffolding. A lawyer can provide Gamma with a dense technical description and instruct it to create a structured presentation breaking the concept into its component parts, with a slide dedicated to each step or element. The resulting presentation gives jurors multiple cognitive entry points into complex material, rather than a single wall of technical text.
 
      Analogy generation is another area where AI tools excel. One of the most effective techniques for explaining unfamiliar technical concepts to jurors is to anchor them to familiar experiences. AI models can rapidly generate multiple analogy options — comparing a defective heart valve to a leaky garden faucet, or a fraudulent accounting scheme to switching price tags in a store — allowing counsel to select the analogy most likely to resonate with the specific jury being addressed.
 

IV. OPENING STATEMENTS AND CLOSING ARGUMENTS

---

      Opening statement and closing argument are the twin pillars of courtroom advocacy, the moments when the lawyer speaks most directly to the jury's judgment. AI tools are remarkable at generating first drafts of great openings and closing.  Of course the lawyer's voice and emotional intelligence remain irreplaceable.  But these large language models—Chat GPT, Claude, Perplexity, to name a few—serve as powerful structural and editorial partners in the drafting process.
 

Opening Statements

      A lawyer can provide ChatGPT or a similar platform with the key facts of the case, the legal theory, the primary witnesses, and the desired emotional tone, and ask the model to generate a structured opening statement outline or full draft. That draft rarely becomes the final version, but it forces the lawyer to react to a concrete structure, identifying what is missing, what is overemphasized, and what sequence most effectively previews the evidence.
 
      AI can also help lawyers stress-test their opening for clarity. Asking a model to identify any portion of a draft opening that would confuse a listener who knows nothing about the case will often surface explanatory gaps that an experienced litigator, too close to the facts, might overlook. Similarly, AI can generate a list of questions a skeptical juror might ask after hearing the opening, helping counsel anticipate and address potential objections before trial.
 
      Gamma can transform an opening statement outline into a visual story structure, identifying the thematic arc and helping counsel see the presentation as a narrative with a beginning, middle, and end. This visual representation of the opening's structure can be used in practice sessions with colleagues or mock jurors to test whether the narrative flows logically and builds toward a compelling conclusion.
 
      Want to use AI to help create an opening statement, have a voice narrate it, and then have it presented visually by an avatar so that you can use it in a mock presentation or a neutral audience without disclosing your identity?  There are easy tools for doing just that. Step one, use one of the open platforms, Chat GPT, to write the opening.  Then take the script and drop it into ElevenLabs.io to select the character and tone of the narrator.  Once you have created and saved that audio file, go to D-iD.com and select the avatar to bring your audio file to life. The output is a video file that you can imbed in a PowerPoint or present on its own.  This is a powerful set of tools to test your message without you being the presenter.  
 

Closing Arguments

      Closing argument presents different AI opportunities. Because closing is delivered after all the evidence is in, the lawyer can use AI to help integrate specific testimony, exhibits, and admitted facts into a cohesive narrative. By feeding a summary of key evidence into an AI platform and asking it to structure a closing argument that builds toward a verdict on each element of the claim, counsel can rapidly produce a working framework that can then be personalized with the lawyer's own voice and strategic judgment.  If the evidence is now part of the public record, many of the confidentiality concerns that would be present in drafting an opening statement are minimized.
 
      AI is also useful for crafting the rhetorical sequences within closing — the three-part summary of why the opposing expert is not credible, the systematic dismantling of opposing counsel’s timeline, the plain-language walkthrough of the damages calculation. Each of these sequences can be drafted, reviewed, and refined through AI-assisted iteration far more efficiently than traditional solo drafting. PowerPoint closings, which have become common in complex cases, can be built in Gamma or Microsoft Copilot to ensure visual consistency between the opening and closing presentations.
 

V. EXAMINATION OUTLINES

---

      Direct examination and cross-examination outlines are among the most time-consuming documents a trial lawyer produces. AI platforms can substantially accelerate the process without sacrificing quality — and in many cases, by generating a comprehensive first draft, they free the lawyer to focus on the strategic and improvisational dimensions of examination rather than the mechanical task of list-building. 
 

Direct Examination

For direct examination, AI is most effective when provided with a witness's prior statements, affidavit, or deposition transcript. Asking the model to generate a clean, logically sequenced question outline based on the witness's prior testimony will typically produce a usable working draft. The lawyer can then refine the question sequence, add or remove topics, and adjust the language to match the witness's natural voice. AI can also generate follow-up questions for anticipated answers, helping counsel prepare for the organic flow of live examination rather than treating the outline as a rigid script.  Closes systems are best used here for the obvious reasons—the depositions and other source are not likely in the public domain.
 

Cross-Examination

      Cross-examination outlines benefit from AI in a different way. The most effective crossexamination is built around a small number of critical points, each supported by specific prior statements or exhibits that lock the witness into an admission. AI can help identify those points by analyzing deposition transcripts for inconsistencies, concessions, and statements that can be used for impeachment. Asking ChatGPT to review a deposition and identify the five admissions most damaging to the witness's credibility will often produce a list that tracks closely with what an experienced litigator would identify — and occasionally surfaces a damaging passage that counsel had not prioritized.
 
      AI can also generate the specific looping and sequencing structure that makes cross-examination most effective: commit, credit, and confront sequences for impeachment; the brick-by-brick building of an admission that the witness cannot walk back. While the tactical judgment of how and when to deploy a particular impeachment remains entirely the lawyer's responsibility, the AI can help counsel organize and sequence the available material into an efficient structure.
 

Expert Witness Examinations

      AI tools offer particular value in preparing for examination of opposing experts. By feeding an expert's report, curriculum vitae, and prior publications into a large language model, counsel can ask the model to identify internal inconsistencies in the report, departures from the expert's own published methodology, and prior statements potentially inconsistent with current opinions. This analysis can form the backbone of an Fed. ER 702 challenge (don’t say Daubert) preparation or a searching cross-examination on methodology and reliability.
 
      Chat GPT’s closed system and Copilot, as examples, give the user the flexibility of uploading expert reports that have not been publicly disclosed, to make the output more accurate.  Feed in the competing expert reports and ask the platform to generate a direct of your expert and a cross examination of the opponent’s expert.  Test the output with questions and ask for revisions.  Work with the tool and refine the examinations to match your voice and style.  The results will amaze you.
 

VI. ETHICAL CONSIDERATIONS

---

      The integration of AI tools into trial practice raises genuine and significant ethical obligations under the Model Rules of Professional Conduct. Every lawyer using these platforms in active litigation must understand and address these obligations before deploying AI-generated content in court.
 

Competence (Model Rule 1.1)

      The duty of competence now expressly encompasses a lawyer's understanding of the benefits and risks of relevant technology. Comment 8 to Rule 1.1 requires lawyers to keep abreast of changes in the law and its practice, including the benefits and risks associated with relevant technology. A lawyer who uses AI to draft examination outlines, generate demonstratives, or structure arguments without understanding what those tools can and cannot do — and without reviewing their output with appropriate professional judgment — risks violating this fundamental duty. Competent use of AI requires understanding that these platforms generate plausible-sounding content, not verified factual content. They will confidently produce incorrect case citations, fabricated quotations, and technically inaccurate descriptions of complex subjects. Every AI output used in litigation must be verified by the responsible lawyer.
 

Supervision and Responsibility (Model Rules 5.1 and 5.3)

      When associates, paralegals, or litigation support staff use AI tools in connection with client matters, the supervising partner bears responsibility for their work product. Law firms should adopt clear policies on AI tool use in litigation, specifying which platforms are approved, what review procedures apply to AI-generated content, and how AI use should be documented in the file. Blanket delegation of AI-assisted work to staff without meaningful review by a licensed attorney is an ethical risk.
 

Confidentiality (Model Rule 1.6)

      This is perhaps the most pressing ethical concern for litigators considering AI adoption. When a lawyer uploads a client's deposition transcript, medical records, internal communications, or business documents to a cloud-based AI platform, those materials may be retained, used to train future models, reviewed by platform employees, or potentially subject to data breach. Before using any AI platform with client materials, counsel must review the platform's terms of service, data retention policies, and enterprise privacy options. Many platforms offer enterprise or confidential data modes that disable training use of submitted content; these settings should be the default for any use involving client-specific information. Bar associations in several jurisdictions, including the New York City Bar Association and the Florida Bar, have issued ethics guidance on this issue that practitioners should consult.
 

Candor to the Tribunal (Model Rule 3.3)

      The use of AI to draft or illustrate arguments creates a heightened obligation of candor. Lawyers must not present demonstratives, timelines, or visual exhibits that misrepresent the evidence, even if the misrepresentation arises from AI generation rather than deliberate choice. Several federal courts have issued standing orders requiring disclosure of AI use in filed documents, and this trend is accelerating. Lawyers should be prepared to disclose, upon request, that AI tools were used in the preparation of any court filing or courtroom presentation, and should ensure that all AI-assisted work product has been reviewed for accuracy by a responsible attorney. The consequences of submitting AI-hallucinated case citations or fabricated quotations from witnesses — as several lawyers have already learned in high-profile sanctions decisions — extend from professional embarrassment to disciplinary action.
 

Fairness and the Digital Divide

      Lawyers representing clients with fewer resources should be aware that the expanded use of AI-powered visuals and presentations by better-funded opponents can create a perceptual imbalance in the courtroom. While AI democratizes access to high-quality presentation tools, significant disparities in execution quality remain. Trial lawyers on both sides of the bar have an obligation to ensure that the persuasive power of their presentations derives from the strength of their evidence and argument, not simply from superior technological resources.
 

CONCLUSION

---

      Artificial intelligence has arrived in the American courtroom, and it is not leaving. The trial lawyers who learn to harness these tools thoughtfully — using them to create compelling visuals, simplify complex evidence, structure persuasive arguments, and organize thorough examinations — will hold a meaningful advantage over those who do not. Platforms like Gamma, ChatGPT, Microsoft Copilot, and Canva AI are not replacements for the skilled advocate; they are instruments that skilled advocates can deploy to work faster, communicate more clearly, and present their clients' stories with greater impact.
 
      But with these tools come genuine responsibilities. The duties of competence, confidentiality, candor, and supervision do not pause when a lawyer opens an AI platform. The lawyer who reviews AI output with the same critical eye she applies to a first-year associate's draft, who protects client information with the same vigilance she exercises with paper files, and who verifies every fact before it reaches the jury box will find that AI is among the most powerful additions to the trial lawyer's arsenal in a generation.
 
      The courtroom has always rewarded preparation, clarity, and the ability to make the complex simple. AI does not change what wins trials. It simply gives the prepared lawyer more tools to do it.

Bio: Bob Christie is a trial lawyer with deep experience defending professionals, companies, governmental entities, law enforcement officers, and individuals in high exposure cases in State and Federal Court. With that experience comes Bob’s ability to assess case exposures early, develop compelling and persuasive themes, and communicate his clients’ positions to achieve the best possible outcome. Bob’s appellate law experience, spanning four decades, has resulted in scores of published opinions throughout Washington State, the Ninth Circuit Court of Appeals, and on briefs to the United States Supreme Court. He is a recognized leader and teacher in technology and the art of visual persuasion and is a co-chair of Baker Sterchi's Trial & Appellate Practice Group.