Image: Holley Robinson, EDRM.
The fundamental building blocks of effective trial advocacy are remarkably unchanged, despite vast changes in how information is found, analyzed, and presented in courtrooms, hearing rooms, arbitrations, and mediations. In the digital data age, there are far more ways and far more places to locate usable evidence than when I began as a trial lawyer in the analog era, or even when I went on the bench more than two decades ago. Yet the foundational strategies and tactics that persuade juries, judges, arbitrators, and opposing counsel are largely the same as when I walked into a courtroom for the first time in 1978.
What has changed is the information environment: the speed at which facts can be discovered, the tools available to test or challenge them, and the consequences of mistakes, exaggerations, and omissions. That is why fundamentals matter more, not less. Too often, law school, mentoring, and firm training assume these fundamentals rather than teach them—or too many students and young lawyers do not absorb them early enough—despite the fact that the fundamentals are rooted in black-letter law and ethical standards.
Having been a trial lawyer, trial judge, and advocacy teacher, I have seen what works—and what fails—sometimes in the same case. With AI gaining increasing prominence and availability, it is useful to revisit enduring advocacy principles and ask what AI changes, what it does not, and where it raises the stakes. Let’s take the fundamentals one by one.
1. Try the case you have, not the one you wish you had.
This is the keystone of effective advocacy. Its foundation is credibility.
Your job is not to invent a better set of facts. Your job is to identify the most persuasive, truthful path to a just result under the facts and law you can prove with admissible evidence. That begins with a coherent theory or theme of the case that is achievable and defensible—one that will be consistently supported by the facts, data, and testimony and survive discovery, motion practice, evidentiary rulings, and the reality that factfinders reject narratives that feel contrived.
This principle is also where skilled advocacy serves the client best. Clients often arrive with a desired outcome and a preferred story. A lawyer’s value is the ability to translate the client’s goals into realistic expectations and a strategy grounded in proof. Every case has risk. Every case has a range of outcomes. The lawyer’s job is to help the client understand that range early, and to pursue the best available result within it.
The fastest way to destroy a case is to conceal its weaknesses, especially by mishandling discoverable evidence. “Overlooking” damaging evidence, letting a client hide it, or playing games with disclosure is not only ethical thin ice; it is strategically reckless. In trials I handled and later those I witnessed from the bench, I observed cases with fair settlement value or strong merits unravel because a party tried to gild the lily, hide embarrassment, or avoid short-term pain. The impact of the evidence became devastating, not because it was fatal in substance, but because the factfinder read the concealment as a cover-up.
Trying the case you actually have requires disciplined work. It requires gathering the relevant facts, stress-testing the theory, anticipating counterarguments, and planning for the inevitable frictions of litigation: witness fragility, credibility contests, rulings that admit or exclude evidence, and the uncomfortable truth that some narratives land better than others. It also requires the courage to adjust. Every case has an opponent who will throw curveballs, and sometimes surprises come from behind the friendly lines. It may be necessary to narrow claims, change emphasis, or seriously explore resolution as discovery clarifies the record.
The universal structural strength of a case is authenticity: a theory supported by credible witnesses and admissible evidence, presented without exaggeration. The most common threats to success are weak proof, contrived theories, and overstated facts.
Now for the modern overlay: we live in an era where usable evidence exists in more places and forms than ever, and where eDiscovery and AI tools can help lawyers find, organize, and analyze it. Used well, AI can accelerate issue-spotting, pattern recognition, and the testing of competing narratives. It can help identify key documents, surface inconsistencies, and generate questions that expose weaknesses in your own case and in your opponent’s. It can also support expert-heavy work as long as the lawyer remains responsible for accuracy and foundation.
Used poorly, AI can tempt lawyers into trying the case they wish they had—smoothing over gaps, overstating what the record supports, or relying on confident-sounding outputs that are not grounded in evidence. AI systems can be wrong, incomplete, or misleading in ways that look authoritative. In modern litigation, that risk is not abstract. The remedy is to treat AI as an assistant, not an authority; verify every material AI-generated output you rely on; and require every material assertion to be anchored to the actual record.
Assume your opponent is using similar tools; credibility errors will be found faster than in the past.
AI-Era Advocacy Tactics — “Try the Case You Have”
1. Anchor every claim to the record.
AI may summarize, cluster, or suggest themes, but every material fact, quotation, and inference must trace back to an admissible document, witness, or expert opinion. If you cannot point to the source, the point does not belong in the case.
2. Use AI to attack your own theory first.
Before filing a motion or preparing for deposition, use AI tools to generate the strongest arguments against your case. Weak theories rarely survive contact with an informed opponent, and AI makes that opponent faster and better prepared.
3. Treat AI output as issue-spotting, not authority.
AI can help surface patterns, inconsistencies, and gaps, but it does not “decide” what the evidence proves. Lawyers remain responsible for verifying accuracy, assessing admissibility, and judging how a factfinder is likely to react.
4. Preserve the difference between inference and proof.
AI is especially good at smoothing narrative by bridging gaps with plausible language. Be vigilant about distinguishing what the evidence shows from what it merely suggests. Factfinders are quick to sense when a story runs ahead of its proof.
5. Document your verification discipline.
Where AI materially influences strategy or filings, maintain a defensible practice of human review and source-checking. This is sound advocacy and protection against later challenges to accuracy, competence, or candor.
6. Assume concealment will be uncovered.
Modern discovery tools make it increasingly likely that hidden, altered, or “forgotten” evidence will surface, often in ways that amplify its impact. Trying to work around bad facts usually causes more damage than confronting them directly.
7. Align client expectations early—and revisit them often.
AI can sharpen case assessment, but it does not change limits imposed by facts and law. Use its analytical power to explain risks, narrow claims, and recalibrate goals as discovery unfolds.
Bottom line: AI rewards disciplined truth-based advocacy and punishes exaggeration faster than ever. The lawyer who tries the case they actually have—openly, accurately, and strategically—remains the most credible and persuasive advocate in the room.
2. Be honest with everyone: your client, your opponent, the court, the trier of fact—and, most importantly, yourself.
Candor is an ethical requirement. It is also a decisive advocacy advantage.
Loss of credibility is the single most common reason cases fail—often long before trial. Credibility is not lost only in the courtroom. It is built or damaged at every stage of litigation: in pleadings, in early hearings, in discovery responses, in negotiations, and in how lawyers frame both strengths and weaknesses. An effort to gain short-term advantage through evasion or subterfuge at an early hearing can quietly destroy the credibility capital needed later to persuade an opponent, a mediator, or a judge. Trying to mislead a jury—whether through argument or coached testimony—is a legendary formula for failure.
My view of honesty is shaped by a West Point education, where the Honor Code demanded absolute truthfulness. There was no safe harbor in quibbling, half-truths, or strategic ambiguity. A technical evasion was treated no differently than a lie. That principle is not unique to West Point. It is the foundation of professional trust in other institutions, including the legal profession. Judges and lawyers depend on candor not as an abstraction, but as a practical necessity. Reputation matters. Judges and opposing counsel talk. A reputation for credibility—good or bad—travels and persists.
Honesty with oneself is just as critical. Falling in love with a case is a common and dangerous error. It encourages selective fact-finding, optimistic interpretation of weak proof, and inflated client expectations. Lawyers who cannot confront the vulnerabilities of their own case cannot effectively manage risk, negotiate intelligently, or adjust strategy when the record changes.
In the age of AI, credibility is no longer just an ethical obligation, it is the most durable competitive advantage a trial lawyer has.
Hon. Ralph Artigliere (ret.).
Here again, modern technology is raising the stakes. The expansion of data sources, eDiscovery tools, and AI-assisted analysis makes factual inaccuracies, omissions, and internal inconsistencies easier to detect. That scrutiny will come—if not from the lawyer advancing the case, then from the opponent. A case built on partial truths or strategic ambiguity is increasingly vulnerable to rapid exposure, often at the worst possible moment. The better course is obvious and demanding: apply that scrutiny yourself first.
Credibility as Infrastructure in AI-Era Litigation
In modern litigation, credibility is not a soft virtue or an abstract ethical ideal. It is infrastructure—the load-bearing framework that supports every strategic decision in a case. In the age of eDiscovery and AI, that infrastructure is tested earlier, more frequently, and more visibly than ever before.
Credibility in AI-Era Litigation
Credibility Is Built Incrementally—and Lost Suddenly
Credibility is earned through hundreds of small decisions: how pleadings are framed, how discovery responses are handled, how weaknesses are acknowledged, and how arguments are calibrated to the record. AI does not change this reality; it compresses the timeline. What once might have taken months to surface can now emerge in days or minutes.
AI Rewards Truthful Advocacy and Punishes Shortcuts
AI tools are powerful accelerants. Used responsibly, they help lawyers:
- Identify inconsistencies before opponents do.
- Test theories against the full factual record.
- Spot evidentiary gaps and narrative fragility.
Used irresponsibly, they magnify errors:
- Overstated claims sound more confident than they deserve.
- Weak inferences are dressed up as conclusions.
- Omissions and half-truths become easier to detect.
AI does not distinguish between intentional deception and careless overreach. Factfinders often do not either.
The Lawyer Remains the Accountability Layer
No matter how sophisticated the tool is, lawyers remain responsible for:
- Accuracy
- Admissibility
- Fair characterization of evidence
- Honest communication with clients
Delegating judgment to AI—explicitly or implicitly—does not reduce professional responsibility. It increases exposure.
Clients Benefit from Credibility-Centered Advocacy
For clients, credibility is not merely reputational. It affects:
- Settlement leverage
- Discovery cooperation
- Judicial discretion
- Trial outcomes
Clients are best served when lawyers use AI to clarify risks, narrow claims, and manage expectations—not to inflate confidence or obscure hard truths.
The Enduring Rule
Across technologies, forums, and generations, the rule holds:
The strongest cases are built on what can be proved, defended, and explained without apology.
In the AI era, credibility compounds faster—and collapses faster. Lawyers who treat it as infrastructure rather than ornament are best positioned to succeed.
Bottom line:
AI does not excuse lapses in candor—it accelerates their detection. The lawyer who is honest with the client, the court, the opponent, and themselves builds credibility that compounds over the life of a case. In the age of AI, credibility is harder to earn—and easier to lose—than ever.
3. Choose witnesses and experts with care and ensure they understand the standards of truthfulness expected of them.
Witnesses and experts can determine the outcome of a case.
Experts, in particular, play an outsized role in modern litigation. They provide guidance on reality in complex or specialized areas and are afforded special status under jury instructions and court procedures. For that reason, judges and jurors are instructed to scrutinize expert testimony carefully, especially its credibility, methodology, and reasonableness. An expert who is perceived as an advocate for a party rather than a faithful guide to their discipline can do more harm than good. The most effective experts are not those who promise the strongest opinions, but those who are demonstrably independent, careful, and honest.
The same principle applies to fact witnesses. A case is only as strong as the believability of the witnesses who tell its story. Many otherwise solid cases deteriorate on cross-examination because a witness overstates, speculates, or contradicts prior testimony. Even minor exaggerations can cast doubt on otherwise truthful testimony and give the factfinder reason to discount the witness as a whole.
Here again, modern technology raises both opportunity and risk. AI tools can materially assist lawyers in preparing for expert and fact testimony. They can organize and analyze large bodies of information—prior depositions, testimony, reports, publications, and other public materials—to identify inconsistencies, gaps, and vulnerabilities. Used properly, AI can help lawyers test opinions, refine examination strategy, and anticipate cross-examination themes.
But AI also raises the stakes for witness discipline. Overconfident opinions, unsupported assumptions, and internal inconsistencies are easier to detect and exploit than ever. Opposing counsel may arrive armed with AI-assisted analysis that exposes weaknesses instantly. The risk is compounded if witnesses are allowed or encouraged, explicitly or implicitly, to stretch opinions beyond their support or to present rehearsed certainty where the underlying record is mixed.
AI can make good preparation better. It cannot make unreliable testimony credible. The lawyer remains responsible for ensuring that witnesses—especially experts—understand the limits of their opinions, the importance of precision, and the non-negotiable requirement of truthfulness.
AI-Era Advocacy Tactics — Witnesses and Experts
1. Select credibility before persuasion.
The most valuable expert is not the one who promises the strongest conclusion, but the one whose methodology, independence, and restraint will withstand scrutiny. AI-assisted analysis makes advocacy-driven experts easier to unmask.
2. Stress-test experts against their own record.
Use AI tools to analyze prior testimony, publications, reports, and public statements for consistency and methodological rigor. Any inconsistency your team does not find first will be found by your opponent.
3. Enforce opinion discipline.
Ensure experts clearly distinguish between what they know, what they infer, and what they cannot say with confidence. AI-generated summaries and outlines can blur those lines if not carefully reviewed.
4. Prepare fact witnesses for precision, not performance.
AI can help identify prior statements and inconsistencies, but witnesses must be encouraged to testify accurately, not expansively. Overstatement is far more damaging than a candid “I don’t know.”
5. Anticipate AI-assisted cross-examination.
Assume opposing counsel may use AI to surface contradictions or out-of-context statements in real time or near real time. Preparation must account for that reality.
6. Avoid letting AI script testimony.
AI can assist in organizing themes and questions, but scripted answers often sound artificial and are easily exposed. Authentic testimony remains the gold standard.
7. Reinforce truthfulness as a shared obligation.
Make clear to experts and fact witnesses that credibility belongs to the case as a whole. One overstated answer can undermine an entire theory.
Bottom line:
AI amplifies scrutiny of witnesses and experts. It rewards independence, precision, and intellectual honesty—and punishes advocacy masquerading as expertise. The lawyer who selects carefully and prepares truthfully protects the case from its most fragile point: the witness stand.
4. Follow rules to the letter and in good faith.
Lawyers are trained to be zealous advocates, as they should be. But sharp tactics, obfuscation, incivility, and discovery abuse are not legitimate expressions of zeal. They are violations of both the spirit and the letter of modern procedural and ethical rules. Discovery was never intended to be a battleground where advantage is gained by delay, obstruction, or driving up cost. It is a necessary exchange of information designed to allow cases to be resolved fairly, efficiently, and on the merits.
Good faith can be difficult to define with precision, but its absence is easy to recognize. Judges and opposing counsel see it quickly. Corrosive conduct in discovery—gamesmanship, needless motion practice, evasive responses—erodes credibility and damages standing with the court. By contrast, consistent good faith in routine discovery disputes often pays dividends later, when credibility is needed most.
Lawyers must also maintain control over case tactics. Clients are entitled to be informed and to approve strategic and budgetary decisions. But when a client urges delay, concealment, or a strategy designed to “make the other side jump through hoops,” the lawyer must say no. Clients may not fully understand a lawyer’s obligations as an officer of the court. It is the lawyer’s responsibility to explain those duties clearly and to insist on compliance. The lawyer’s reputation, the client’s long-term interests, and the credibility of the case depend on it.
Good faith and candor reflect strength, not weakness. Judges and opponents read them as signals of reliability and credibility—qualities that matter over the life of a case. Those signals benefit both the lawyer and the client, particularly when discretion, trust, and judgment come into play.
A Judge’s Perspective
Skeptics may read this and wonder whether overzealous or misguided advocacy is truly a systemic problem. From my perspective as a former trial judge and teacher, it is. I presided over cases with excellent lawyers on both sides—cases tried hard, fairly, and honestly on the facts and law. Those cases stood out precisely because they were not the norm.
More often, one or both lawyers engaged in conduct that undermined credibility across the very categories discussed in this article: overstatement, concealment, lack of candor, and disregard for procedural obligations. In recent years, as an educator, I hear increasing concern from both judges and lawyers about the deterioration of professional behavior, particularly in discovery.
That concern is reflected in evolving rules and ethics guidance. Discovery has become more complex and expensive in the age of eDiscovery and AI, prompting procedural reforms that emphasize cooperation, proportionality, and early engagement. Ethical guidance nationwide has evolved as well. Zealous advocacy is now consistently framed as an aspirational ideal bounded by duties of candor, fairness, civility, and lawful conduct.
In Florida, those concerns came to a head in 2024. While the Florida Supreme Court declined to remove the term “zealous” from the Rules Regulating The Florida Bar, it made unmistakably clear that zealous advocacy is never a license for misconduct, antagonism, discovery abuse, or misleading behavior. In re Amendments to Rules Regulating the Fla. Bar, 393 So. 3d 137 (Fla. 2024). As the Court emphasized, “zealous representation is not a sword to wield as an excuse to otherwise engage in misconduct.”
The continued refinement of procedural and ethical rules reflects a hard truth: poor lawyer behavior remains an impediment to fair, efficient, and just outcomes.
But lawyers and clients miss the larger point if they view candor, honesty, and good faith merely as compliance obligations. They are part of a professional compact. Effective advocates do not resent hard, fair advocacy from the other side. Everyone has a client and a job to do. The problem arises when lawyers—or their clients—evade responsibilities imposed by the rules. That behavior undermines trust, reduces cooperation at critical moments, and inevitably damages credibility with judges, arbitrators, and juries.
A trial lawyer’s job is not to win every skirmish, delay every request, or obstruct access to information. It is to win the case—or to achieve the just result the record supports.
AI-Era Advocacy Tactics — Rules, Good Faith, and Control
1. Treat cooperation as a credibility asset.
In AI-driven discovery, unreasonable resistance is easier to expose and harder to justify. Judges increasingly view good-faith cooperation as a proxy for reliability.
2. Use AI to comply, not to obstruct.
AI can help identify relevant data, narrow disputes, and reduce costs. Using technology to delay, overwhelm, or obscure invites scrutiny and sanctions.
3. Assume discovery conduct will be reconstructed.
Modern workflows create metadata, audit trails, and decision records. Bad-faith tactics are more likely to be documented—and later explained—than in the past.
4. Maintain tactical discipline with clients.
Clients may push for aggressive or retaliatory tactics. Lawyers must explain why such approaches are unethical, counterproductive, and dangerous in an AI-enabled environment.
5. Preserve proportionality as a guiding principle.
AI lowers the marginal cost of some discovery tasks, but it does not eliminate limits. Proportionality remains a legal and strategic constraint.
6. Avoid escalation reflexes.
AI makes tit-for-tat discovery battles faster and more expensive. Strategic restraint often produces better outcomes than reciprocal aggression.
7. Remember who is watching.
Judges, arbitrators, and opposing counsel evaluate credibility continuously. Discovery behavior is often the earliest—and most durable—signal of how a case should be managed.
Bottom line:
AI magnifies the consequences of bad faith. Lawyers who follow the rules carefully, insist on ethical discipline, and maintain control over tactics preserve the credibility that wins cases in the long run.
CONCLUSION: Credibility Is the Advantage That Compounds
Across every phase of litigation—case assessment, discovery, motion practice, negotiation, and trial—the most reliable predictor of success is credibility. Not charm. Not aggression. Not cleverness. Credibility.
The age of eDiscovery and AI has not altered that truth. It has intensified it.
AI accelerates information access, pattern detection, and scrutiny. It shortens the distance between misstatement and exposure. It reduces the shelf life of exaggeration, concealment, and gamesmanship. In this environment, advocacy strategies that once survived by inertia or opacity now collapse quickly—often in public and irreversible ways.
The four principles discussed in this article are not independent rules. They form an integrated system:
- Trying the case you have anchors advocacy in provable reality.
- Honesty with everyone, including yourself, preserves judgment and credibility over time.
- Careful selection and preparation of witnesses and experts protect the most fragile point in any case: testimony.
- Strict adherence to rules in good faith builds trust with courts, opponents, and factfinders when discretion matters most.
Taken together, these principles form credibility as infrastructure, the load-bearing structure that supports persuasion. When that structure is sound, advocacy can be forceful without being reckless, cooperative without being weak, and strategic without being deceptive. When it is compromised, even strong facts and favorable law may not be enough.
AI does not change what good advocacy looks like. It makes it harder to fake.
The lawyers who thrive in this environment are not those who use AI most aggressively, but those who use it most responsibly—to test their own assumptions, surface uncomfortable truths early, and present cases that can be defended without apology. That approach benefits not only lawyers, but clients, courts, and the justice system itself.
Final Checklist: Credibility-Centered Advocacy in the Age of AI
This checklist is for lawyers to apply and clients to understand.
Case Theory or Theme
- ☐ Is the theory/theme of the case achievable with admissible evidence—not just desirable?
- ☐ Have we stress-tested the theory/theme against likely counterarguments and adverse facts?
- ☐ Would this theory/theme still make sense if explained plainly to a judge or jury?
Candor and Self-Assessment
- ☐ Have we identified the weakest points in our own case—and planned for them?
- ☐ Are we communicating risks and limits clearly to the client?
- ☐ Are we distinguishing between proof, inference, and aspiration?
Witnesses and Experts
- ☐ Were experts selected for independence and credibility, not advocacy?
- ☐ Have prior testimony, publications, and statements been reviewed for consistency?
- ☐ Do witnesses understand that precision and honesty matter more than certainty?
Rules, Discovery, and Good Faith
- ☐ Are discovery responses designed to inform rather than obstruct?
- ☐ Are we using technology to reduce costs and friction—not to delay or overwhelm?
- ☐ Would our discovery conduct look reasonable if audited and explained to the court?
Use of AI
- ☐ Is AI being used as an assistant, not an authority?
- ☐ Are all material AI-generated insights independently verified against the record?
- ☐ Have we considered how AI-assisted analysis could be used against us?
- ☐ Have we applied privilege safeguards to AI use?
Client Alignment
- ☐ Does the client understand why certain aggressive tactics are off-limits?
- ☐ Have expectations been recalibrated as discovery evolves?
- ☐ Is the client aligned with a strategy that prioritizes credibility over gamesmanship?