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LexisNexis Canada notes that understanding how
machine learning (ML), large language models (LLMs),
and GenAI are crucial for legal professionals navigating
these complexities (https://www.lexisnexis.com/blogs/
en-ca/b/legal-ai/posts/ai-bias-prevention-lawyers) .
THE ROLE OF GENAI IN LEGAL PRACTICE
According to Thomson Reuters, GenAI, powered
by LLMs trained on extensive datasets, automates
document review, contract analysis, and legal
research tasks (https://legal.thomsonreuters.com/
blog/generative-ai-for-legal-professionals-top-use-
cases/). Unlike traditional machine learning models
that rely on structured datasets for classification, these
models generate human-like text based on probabilistic
predictions, LexisNexis Canada reports. This
ability allows legal practitioners to extract insights,
summarize case law, and streamline due diligence.
However, its deployment raises significant ethical
concerns, particularly in mitigating bias and ensuring
accountability, according to Korum Forum.
BIAS IN GENAI: SOURCES AND
IMPLICATIONS
Bias in GenAI emerges from multiple sources,
including training data, model architecture, and
user input, according to research from Bender,
Gebru, McMillan-Major, and Shmitchell (https://doi.
org/10.1145/3442188.3445922). Xu's Applied Artificial
Intelligence states that LLMs learn from diverse
