Tuesday, 07 April 2026 / Published in Artificial Intelligence, Law

Hardwiring Justice: Artificial Intelligence for Defense Attorneys: Turning AI Into a Defense Tool

This article is part of the Hardwiring Justice series on Artificial Intelligence and the Justice System. This is Part 3C in the series examining how AI is shaping policing, prosecution, defense practice, and the courts.*

Artificial intelligence (AI) may sound technical or distant, but it is already affecting criminal cases. Prosecutors’ offices use software tools that help draft motions, analyze patterns in past cases, summarize reports, and sort large amounts of digital evidence.^[1] Courts rely on computerized risk scores to assist with bail and sentencing decisions. Probation departments use automated systems to flag violations.^[2]

A defense attorney does not need to understand coding or computer science to understand this important point: technology is helping the state process cases faster and organize information more efficiently.^[3] The question for defense attorneys is whether they will learn to use similar tools in a way that strengthens defense practice.

Data is already suggesting that AI is a valuable tool to defense counsel to increase efficiency, save money, and improve case preparation. Surveys of defense attorneys have shown that a majority believe AI outperforms manual evidence analysis, saving 6–10 hours per week and more than $30,000 annually.^[4]

What AI Actually Is (and What It Is Not)

AI, in practical terms, is simply software that can analyze text and data quickly and generate organized responses.^[5] It is not a lawyer. It does not exercise judgment. It can make mistakes. But when used carefully, it can function like a very fast research assistant.

For attorneys unfamiliar with AI, the safest way to think about it is this: it is a drafting and organizing tool.^[6] It can help you gather information and structure your thinking.^[7] t cannot replace your legal judgment, your strategic decisions, or your ethical responsibilities.

AI for Legal Research and Motion Practice

AI for defense attorneys is particularly effective in legal research and motion preparation.^[8] AI tools can help summarize legal documents, identify leading cases, and outline arguments for motions.^[9] For example, when preparing a motion to suppress, an AI tool can summarize recent appellate decisions on prolonged traffic stops in your jurisdiction. The tool may provide a structured overview of relevant cases and legal standards. Because these systems can generate inaccurate or fabricated information, attorneys must verify every citation before relying on it.^[10]

When used carefully, AI can make the initial research process significantly more efficient.^[11] It can also help attorneys think through arguments^[12] by identifying weaknesses in legal theories or suggesting counterarguments the prosecution may raise.^[13] Used this way, AI functions as a brainstorming aid rather than a decision-maker.

Using AI for Discovery Review and Case Organization

Modern criminal cases often involve large volumes of digital material, including body camera footage, phone records, lengthy reports, and recorded interviews.^[14] AI for defense attorneys can assist in organizing documents, generating timelines, summarizing transcripts, and identifying inconsistencies in witness statements.^[15]Instead of spending hours manually reviewing materials, attorneys can use AI to structure information and focus attention on legally significant issues.

Confidentiality and Data Security Concerns

Confidentiality remains critical. Attorneys must avoid uploading privileged or sensitive client information into public AI systems that store or reuse user data.^[16] Before using any AI platform, counsel should confirm how it handles data retention and privacy.^[17] If uncertainty exists, use should be limited to publicly available materials or redacted information.^{^[18]} Ethical obligations governing client confidentiality continue to apply in full.^{^[19]}

AI for Defense Attorneys in Risk Assessment Challenges

AI can also assist attorneys in understanding and challenging risk assessment tools.^[20] Many courts rely on computerized scoring systems to evaluate pretrial risk or sentencing factors.^[21] These scores are often presented as objective, but they are based on specific assumptions and data inputs.^[22] AI tools can summarize critiques of these systems, explain validation methods, and identify documented concerns about bias or error rates.^[23] This provides attorneys with clearer language and stronger analytical grounding when challenging overreliance on such tools.

Using AI for Cross-Examination and Trial Preparation

For cross-examination preparation, AI can help generate potential lines of questioning.^{^[24]} An attorney may ask a tool to identify common weaknesses in eyewitness testimony or vulnerabilities in chain-of-custody procedures.^{^[25]}

The system may suggest areas worth exploring, but counsel remains responsible for determining which questions are appropriate and strategically sound.^{^[26]} In this role, AI expands preparation without replacing professional judgment.

AI in Sentencing Advocacy and Mitigation Strategy

In sentencing advocacy, AI can help organize mitigation information, compare sentencing patterns, and structure alternative sentencing proposals.^{^[27]}

It cannot tell your client’s story. That remains your responsibility. But it can help present that story in a clearer and more organized way.

Ethical Limits of AI for Defense Attorneys

There are firm boundaries. AI should never advise your client, determine plea strategy, evaluate credibility, or make final legal decisions. It should not replace factual investigation or professional judgment.

AI is a tool for organizing and analyzing information, not for practicing law independently.

Verification Is Non-Negotiable: Avoiding AI Hallucinations

The limits and careful use of AI cannot be overstated. In the past, a properly formatted legal citation generally indicated that a case existed. That is no longer a safe assumption.

Non-existent precedents and cases have already been litigated in the courts. In Mata v. Avianca, Inc.^{^[28]}, a federal district court rejected non-existent precedent generated by AI, stating: “A fake opinion is not existing law… An attempt to persuade the court or oppose an adversary by relying on fake opinions is an abuse of the adversary system.”

Similarly, in Park v. Kim,^[29] an attorney was referred to a grievance panel for relying on an AI-generated citation to a non-existent case. The Appeals Court reiterated a basic but critical rule: attorneys must verify the existence and validity of any authority they rely upon.

These cautionary examples are in no way meant to deter defense attorneys from the effective use of AI. The use of AI will likely become inevitable for all. The duty for due diligence in investigating the veracity of the information is non-negotiable.

How Defense Attorneys Should Start Using AI

For attorneys new to AI, the most important step is cautious experimentation. Start small. Use it for research summaries or drafting outlines. Verify everything. Keep client confidentiality front and center. Over time, you may find that it reduces time spent on mechanical tasks and increases time available for strategy, investigation, and client communication.

Artificial intelligence will continue to shape how prosecutors and courts handle cases. Ignoring it does not prevent its influence. Understanding it, even at a basic level, allows you to respond more effectively. Defense attorneys are not required to become technology experts. They are required to provide competent representation. In today’s legal environment, that includes understanding how technology affects cases and using available tools wisely to protect clients’ rights.

AI should not be something mysterious operating in the background of your courtroom. When approached carefully and ethically, it can become a practical tool that helps you manage workload, strengthen arguments, and advocate more effectively for beneficial outcomes for your clients.

* This article was edited with the assistance of AI in the form of a large language model. It was used solely for grammar, editing, and footnote support. All substantive content and conclusions reflect human authorship.

^[1] Ralph Losey, Prosecutors and AI: Navigating Justice in the Age of Algorithms, JD Supra (Aug. 29, 2024).

^[2] The Evolving Legal Landscape: Will Artificial Intelligence Help or Hurt?, UC Riverside Extension, (last visited Feb. 7, 2026).

^[3] Losey, Prosecutors and AI, supra note 1.

^[4] Based on a survey conducted by Centiment for Rev. between September 11 and September 29, 2025. The results are based on 511 completed surveys. In order to qualify, respondents were screened to be residents of the United States, over 18 years of age, and identify as legal professionals working in criminal defense or criminal justice. Data is unweighted, and the margin of error is approximately +/-4% for the overall sample with a 95% confidence level.

^[5] What Is Artificial Intelligence?, IBM, (last visited Feb. 25, 2026).

^[6] How Lawyers Can Work Faster Without Sacrificing Accuracy, A.B.A. Law Prac. Div., Law Tech. Today (2025).

^[7] Id.

^[8] How to Effectively Use AI for Legal Research, Thomson Reuters (n.d.).

^[9] Id.

^[10] Id.

^[11] AI in Civil Defense Litigation: A Powerful Tool When Used Correctly, Nat’l L. Rev. (n.d.).

^[12] Id.

^[13] Id.

^[14] Sarah E. Lageson, Criminal Data Function Creep, 116 J. Crim. L. & Criminology 113 (2026).

^[15] AI in Civil Defense Litigation, supra note 10.

^[16] How to Use AI and Keep Law Firm and Client Data Safe, Thomson Reuters (n.d.).