2026 Update — How Brief Writing Specialists Improve Your Appellate Briefs and Dispositive Motions — And How Artificial Intelligence Can Harm Your Briefs In Ways That Can’t Be Fixed

Appellate briefs and briefs in support of complex trial motions are about giving the court what the court needs to rule in your favor — under the decision-making rules that the court must follow. This requires human judgment that is impossible for AI to produce, at least as of 2026.

What a winning brief is — and is not:

A winning brief is not about fairness, justice, compelling narratives, or sweeping arguments. Rather, a winning brief is about:

  • Earning the trust of the court;

  • Scrupulously providing the full and accurate relevant facts;

  • Scrupulously providing the full and accurate relevant law;

  • Correctly identifying the small number of issues the appeal or motion turns on;

  • Correctly identifying and applying the standard of review for each issue;

  • Correctly identifying and applying presumptions, burdens, and doctrines; and

  • Presenting law-to-fact analyses that fit within the constraints, rules, and standards of the given motion.

In other words, in appeals and dispositive motions, courts face constraints; the scope of the court’s decision-making is narrowed by the rules and standards that govern a given appeal or motion.

Why AI is still unable to make a winning brief — and how AI Slop harms your brief:

In 2026, as it currently stands, almost all AI tools are optimized for things that are secondary to the above; AI tools can write persuasively about what is right or wrong, or who should win and lose a case, but that’s not what courts need in appellate briefing and briefing of complex motions—rather, courts need briefs that show, within the above constraints, that there is a legally permissible basis to rule one way or another on a given issue.

Human legal brief writing specialists still excel, by far, in areas where AI continues to fail. A human brief writing specialist:

  • Has the judgment and experience to identify the key issues on which the brief wins or loses;

  • Knows how to identify, apply, and work within the standards of review for each issue;

  • Gives the court what it needs to make a narrow ruling that will not have unintended consequences;

  • Removes arguments that are emotionally appealing but legally irrelevant;

  • Anticipates how judges, clerks, and opposing counsel will respond.

In contrast, AI models even as of 2026, like inexperienced brief writers, may create arguments with the patina of logic, but they remain weak in the following areas:

  • AI still lacks the judgment to determine the truly key issues upon which the brief will win or lose;

  • AI tends to merely mention a standard of review, but then fails to fully and accurately apply it;

  • AI often writes every argument as if the standard of review was de novo

  • AI still skims over the proper application of the standard of review, even when it is dispositive;

  • AI still produces overly-broad arguments that would result in overly-broad holdings, when courts want to see the narrowest ruling path;

  • AI still tends to skim over the nuances of standards and doctrines, in favor of generating “best” arguments that are not sufficiently tailored to work within the court’s constraints;

  • AI still omits and cherry-picks facts, destroying your credibility with the court;

  • And, of course, AI still omits and hallucinates case law, also destroying your credibility with the court.

All of this “AI Slop” prevents the court from having what it needs to rule in your favor within the constraints of the rules, standards, and doctrines that the court must work within.

In contrast to AI shortcomings and “AI Slop,” an experienced human brief writing specialist:

  • Designs the entire brief around “issue discipline” — the very few issues that actually determine success;

  • Designs the entire brief to work within the constraints of what the court may, and may not, do;

  • Designs each argument for each issue to survive under each applicable standard of review;

  • Helps the court identify and distinguish questions of law, questions of fact, and mixed questions of law and fact;

  • Ensures that the court has the full and accurate facts, and the full and accurate law;

  • Demonstrates that a human wrote the brief, not AI, which matters because judges and their law clerks can easily tell the difference.

  • Selects issues based on whether they can realistically clear the applicable standard

  • Shapes factual presentation to fit the level of deference.

  • Provides the court with multiple “even if” viable paths for ruling favorably on an issue;

  • Removes arguments that dilute or signal weakness;

  • Has the discipline to avoid the “kitchen sink” approach while maintaining full accuracy.

As of 2026, Artificial Intelligence Still Lacks Judgment On The Tough Questions and Close Questions That Come Up During Brief Writing.

The human ability to write a brief to a human judge and the judge’s human law clerks is ultimately an ability to make dozens of subtle, experience-based decisions that are not obvious, and that have nothing to do with writing, or the patina of logic, including:

  • Whether to concede a point, and how;

  • How to present the record facts and the permissible inferences that may be drawn from the record;

  • How to handle issues of first impression (open questions of law);

  • When, whether, how, and to what degree a court should be asked to extend the law;

  • How to alleviate a court’s concern that a ruling will not have unintended future consequences;

  • Understanding how courts react to overreach instead of restraint;

  • How to make cost-benefit determinations on key points and key language in key arguments;

  • How to carefully and accurately characterize precedent and cited holdings, where words matter most;

  • And how much, whether to pursue a risky but high-reward issue, and how to sequence arguments for maximum effect.

As of 2026, AI still cannot do these things, including because AI is still based on pattern prediction—which is not human judgment or human experience. In other words, pattern prediction has not replaced the value of human judgement and human experience, at least in the context of providing briefing to experienced judges.

Because it lacks judgment, AI Slop also results in the following things that are also fatal to legal brief writing:

  • AI tends to both over-state and under-state its characterizations of precedent;

  • AI still cannot accurately capture in a parenthetical what a case really stands for;

  • AI will cite cases that may seem relevant, but are actually both inapposite and detrimental;

  • AI tends to misstate both record facts and legal holdings in small but consequential ways;

Excellent Lawyers Who Are Not Specialist Brief Writers Often Make The Same Mistakes In Brief Writing That AI Makes:

Like AI models, even excellent lawyers can make the above mistakes unless they are expert at writing dispositive briefs. Brief writing requires a different set of skills than, for example, winning at trial. Trial advocacy and appellate / brief writing advocacy are different disciplines. Trial-level excellence requires emphasizing narrative persuasion, including narratives sounding in justice, fairness, equity, and credibility. As shown above, courts are focused on errors and constrained decision-making when evaluating briefs. The brief writing specialist often literally rebuilds the case for a different decision-maker: A court that has fundamentally different goals and constraints when compared to a jury or a bench trial.

AI can produce fluent prose, organized sections, and plausible legal arguments. But in appellate briefing and in briefing to support motions for summary judgment and motions to dismiss (demurrers), none of that results in a successful briefing outcome. The following summary comparison explains why:

What AI optimizes for:

  • Linguistic coherence;

  • Pattern similarity to existing texts; and

  • Surface-level persuasiveness.

What high-level briefing requires:

  • Strategic selectivity based on judgment;

  • Doctrinal precision based on the nuances of issue selection and standards of review;

  • Calibrated judgment to provide courts with the pathways they need to rule in your favor.

These are not the same, and the hidden risk is that AI produces work that looks finished, but in fact generates a first draft that is often so fundamentally flawed that it cannot be fixed, including because AI slop, even if improved by a human, undermines credibility with the court in subtle ways. The result of combining AI with legal brief writing is often this: Not an obviously bad brief on first glance, but a quietly ineffective one at best, and a credibility-destroying brief at worst.

Why attorneys who do not write complex briefs are most at risk:

Lawyers who dislike writing briefs, who rarely handle appeals or complex motions, or who assume that their strong trial skills carry over into successful complex brief writing are especially vulnerable to over-reliance on AI, including by misunderstanding what courts actually need to decide appeals and complex trial motions such as under Rule 56 and Rule 12(b)(6). In contrast, by a human specialist does what AI cannot:

  • Issue selection discipline;

  • A correct and thorough standards-of-review-driven strategy;

  • Doctrinal precision and correct application of nuances and exceptions;

  • Credibility with the court by proper use of facts, law, tone, and restraint;

  • Sound human judgment on non-obvious decisions and tough strategic choices; and

  • A brief designed for how courts rule, not for how arguments sound or appeal to emotion and justice.

In appellate and complex motion practice, outcomes turn on nuanced and judgment-based decisions in relation to the constraints that govern judicial decision-making in any given appeal or dispositive motion. Those decisions are separate from the act of “writing a brief”; those decisions are difficult for attorneys who are not specialized brief writers; and those decisions are impossible for artificial intelligence to produce, at least as of 2026.

Finally, here are some of the AI models that purport to write legal briefs as of 2026:

  • ChatGPT: Can help organize arguments using the IRAC (Issue, Rule, Application, Conclusion) format and draft specific sections like statements of fact.

  • Claude: Known for a massive "context window," allowing you to upload hundreds of pages of trial transcripts or discovery documents and ask it to draft a brief based solely on those facts.

  • CoCounsel by Casetext: Performs verified legal research and can generate a first draft of a motion to dismiss, including the appropriate legal standards and relevant case law for your jurisdiction.

  • Lexis+ AI: Features a dedicated "Brief Analysis" tool that analyzes your draft and suggests research recommendations. Its assistant can iteratively refine full litigation motions and briefs.

  • Clearbrief: A specialized Microsoft Word add-in that focuses on fact-checking. It scans your brief and instantly shows the exact page of evidence that supports each sentence, flagging "hallucinations."

  • Vincent AI: Uses a "Workflow Engine" to guide you through building a brief. It converts natural language questions into answers with full citations from a database of over one billion documents.

  • Paxton AI: Purports to provide a "Legal Brief Writing Service" that ensures drafts are persuasive and compliant while automating the assembly of citations.

  • Harvey AI: Used primarily by elite firms, it populates approved legal templates with case-specific facts and arguments to produce first drafts of pleadings and briefs.

  • BriefCatch: While it doesn't "write" from scratch, it is the industry standard for editing briefs. It provides real-time suggestions to make writing more persuasive and concise.