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P E E R T O P E E R : I L T A ' S Q U A R T E R L Y M A G A Z I N E | W I N T E R 2 0 2 4
B Y T H O M A S Y O H A N N A N
FORENSIC
DATA
COLLECTION
I
n the summer of 1956, when John
McCarthy gathered researchers at
Dartmouth College, he did not just
coin the term "artificial intelligence"
– he sparked a digital revolution
that would span generations. While
the world is enamored with headlines
of the changing face of society due to
Large Language Models (LLMs), artificial
intelligence (AI) extends into nearly every
corner of innovation: self-driving vehicles
navigate our streets, computer vision
systems diagnose diseases, and neural
networks unlock patterns in vast seas
of data. Yet beneath the complexity of
these systems lies a fundamental truth:
the quality of AI is only as reliable as its
foundational data. The emphasis on data
quality is why data collection from a legal
and investigative perspective is crucial
for moving forward.
A Bridge Between Digital
Forensics, Ediscovery, and
Artificial Intelligence
