Artificial intelligence is framed as a disruptive force that will transform the legal industry in the future. In reality, it’s already deeply embedded in how attorneys practice law today. From legal research platforms to litigation analytics tools, AI has quietly shaped how lawyers gather information, evaluate cases, and make strategic decisions.
In a recent article published in The Alabama Lawyer, J.R. Davidson, a research analyst at Trellis, explores how these technologies are being used across the litigation lifecycle.
Many of the tools lawyers rely on every day, particularly legal research platforms, already use machine learning and natural language processing to rank results and organize case law. In that sense, AI is not new to legal practice—it has simply been operating in the background.
What is changing is how that intelligence is being surfaced and applied. Historically, attorneys have relied on experience and anecdotal knowledge to guide strategy, drawing on past cases, informal insights, and patterns observed over time. AI and legal analytics tools take those same instincts and make them explicit and measurable. By analyzing filings, rulings, and settlement data at scale, these systems transform what was once qualitative judgment into data-driven insight.
The result is not a replacement of traditional legal thinking, but an evolution of it. Attorneys can now validate their instincts, identify patterns they might otherwise miss, and make more informed strategic decisions.
To see how these ideas play out in practice, read the full article below.