Empowering Criminal Defense with Real-Time AI Insights

From instant person mapping to AI-generated cross-examination questions, see how a criminal defense attorney leveraged Matey to accelerate trial prep and improve courtroom agility.

Overview

Criminal defense attorneys face enormous pressure when preparing for trial: large volumes of evidence, limited time, and the need to quickly grasp the relevance of individuals and facts. One of Matey AI’s clients, a criminal defense attorney currently engaged in a high-stakes trial, turned to our platform to gain an edge. Leveraging real-time AI analysis, this attorney is navigating trial proceedings with greater clarity, agility, and confidence.

The Challenge

In criminal cases, especially those involving complex narratives and extensive discovery materials, defense teams are frequently overwhelmed. The process of manually reviewing investigative reports, parsing law enforcement documentation, identifying witnesses, and preparing for cross-examination is both time-consuming and prone to error.

For this particular case, our client received a sprawling discovery package containing:

  • Witness interviews and law enforcement reports
  • Lists of individuals with unclear roles or connections to the events in question
  • Ambiguous references to key facts are scattered across multiple documents
  • Extensive court records for a previous trial

The Matey AI Solution

Matey AI was designed for moments like this.

Our platform integrates advanced natural language processing and large language models (LLMs) into a secure environment tailored for legal professionals. It enables attorneys to:

  • Rapidly identify individuals in the discovery materials, determine their roles, and surface their mentions across all documents
  • Assess the relevance of various people, events, or pieces of evidence to the core arguments of the defense
  • Generate cross-examination questions based on patterns, contradictions, and inconsistencies across the evidence

For our client, Matey AI functioned as a real-time intelligence partner inside the courtroom.

Key Capabilities in Use:

  • Person Mapping: The attorney used Matey AI to build dynamic profiles of key individuals based on the discovery corpus. This included aliases, prior statements, and links to physical or testimonial evidence.
  • Contextual Search: Instead of keyword-based searching, Matey AI enabled natural language queries, such as “What has this person said about the night of the arrest?” and “How is Person X connected to the firearm mentioned in Report B?”
  • Question Crafting: The platform automatically suggested cross-examination questions framed to expose inconsistencies or clarify vague testimony, streamlining preparation even during breaks in the trial.

Results

Although the trial is still ongoing, the impact of Matey AI has already been significant:

  • Accelerated understanding of dozens of individuals in the case file, many of whom lacked clear identifiers or roles
  • Increased courtroom agility, allowing the attorney to respond on the fly with informed questions during witness testimony
  • Reduction in prep time, giving the defense team more bandwidth to focus on strategy rather than document review

According to the client, Matey AI “felt like having a second brain in the courtroom”, a tool that didn’t just surface facts, but delivered insight.

Why It Matters

Defense attorneys are often out-resourced, especially when facing well-funded prosecutors with investigative teams. Matey AI helps level the playing field by giving defenders access to a high-speed analytical engine designed for the intricacies of criminal law.

This case highlights a transformative shift: AI is no longer just a pre-trial research tool; it can function as a live trial companion, surfacing context and connections when every minute matters.

Looking Ahead

As this case progresses, we continue to collaborate closely with the defense team to refine the experience and expand real-time capabilities. Future iterations will include voice-to-context syncing during testimony, more robust evidence-linking, and user-generated tagging of themes across documents.