AI in Law & Security
Protect. Predict. Solve.
🎯 Course Objective
To introduce learners to the real-world applications of Artificial Intelligence in law enforcement, public safety, and the legal field — including crime prediction, surveillance, digital evidence, and the ethical concerns surrounding AI in justice.
Module 1: Introduction to AI in Law
* What is AI and how is it used in law?
* Traditional law enforcement vs AI-
enhanced systems
* Real-world examples from around the
world
Module 2: Predictive Policing
* What is predictive policing?
* How data helps predict crime-prone areas
* Case study: AI systems used in the US and
UK
* Pros and concerns (bias, over-policing, privacy)
Module 3: AI in Surveillance & Monitoring
* AI in CCTV and facial recognition
* License plate detection systems
* Real-time tracking and alerts
* Debate: Safety vs Privacy
Module 4: AI in Courtrooms
* Legal document summarization using AI
* Virtual legal assistants (chatbots for legal
aid)
* AI helping lawyers research faster
* Can AI ever replace a judge?
Module 5: Crime Detection & Digital Evidence
*. AI in cybersecurity and fraud detection
*. Detecting online threats and illegal
activity
*. AI tools for scanning digital evidence in
investigations
*. Deepfake detection and misinformation.
tracking
Module 6: Ethics, Bias, and Human Rights
* AI and bias in arrests or sentencing
* Data misuse and civil rights
Can AI be fair?
*. International laws on AI and surveillance