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.
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:
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:
For our client, Matey AI functioned as a real-time intelligence partner inside the courtroom.
Although the trial is still ongoing, the impact of Matey AI has already been significant:
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.
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.
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.