Artificial Intelligence and the Law: Case Studies and Future Trends
Explores ai's impact on legal practice through case studies, ethical dilemmas, and future trends in automated contracts and judicial processes. See latest price on Amazon.
Quick facts
Topic: Law
Tags: Law, Artificial Intelligence, AI Trends
Length: 224 pages
Best for: Readers who want practical, plain-English AI insights with real-world examples.
Because AI in law affects risk, precedent, access to justice, and professional accountability. Getting the basics right matters long before anyone wheels in the hype machine.
What you’ll learn
Where AI is already being used in law today — and where the claims are running ahead of reality.
The workflows, systems, and trade-offs behind practical law use cases, explained in plain English.
Key themes including contracts, research, compliance, risk.
The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
Who this book is for
Legal professionals, compliance officers, and law students who want practical context on AI's growing role in legal practice and regulation.
What this book covers
Explores AI's impact on legal practice through case studies, ethical dilemmas, and future trends in automated contracts and judicial decisions.
What makes this book distinct
This book is rare in its approach: it leads with actual case studies rather than hypotheticals. The chapters on AI evidence admissibility, algorithmic sentencing bias, and liability for autonomous system failures are grounded in decisions that courts and regulators have already had to make.
Not your book? Not a legal textbook — no footnotes, no statutes. If you need professional legal guidance, consult a qualified lawyer. This book is for anyone who wants to understand the landscape of AI law without a law degree.
Jonathan HarrisArtificial Intelligence Author & Host of Turing's Torch AI Weekly
Longer-form context from the retired overview page, now folded into the canonical book route.
Problem framing: where this topic gets messy
In legal work, speed is attractive, but bad judgement scales just as quickly. The real question is how AI changes review, risk, evidence, and accountability. Explores AI's impact on legal practice through case studies, ethical dilemmas, and future trends in automated contracts and judicial decisions. Pages: 224. Because AI in law affects risk, precedent, access to justice, and professional accountability. Getting the basics right matters long before anyone wheels in the hype machine.
Practical outcomes
In practical terms, the aim is simple: you should understand where AI can help legal work move faster, and where human judgement still has to stay firmly in the loop. That means clearer judgement, fewer lazy assumptions, and a much better sense of where to press further or walk away.
Identify where ai is already being used in law today — and where the claims are running ahead of reality.
Work through the workflows, systems, and trade-offs behind practical law use cases, explained in plain english.
Work through key themes including contracts, research, compliance, risk.
Work through the limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
Chapter-level signals
Not a chapter list carved in stone, but the sort of material readers can reasonably expect to work through.
Where AI is already being used
Where AI is already being used in law today — and where the claims are running ahead of reality.
The workflows, systems, and trade-offs behind
The workflows, systems, and trade-offs behind practical law use cases, explained in plain English.
Key themes including contracts, research, compliance,
Key themes including contracts, research, compliance, risk.
The limits, risks, and awkward questions
The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
What makes this title distinct
This book is rare in its approach: it leads with actual case studies rather than hypotheticals. The chapters on AI evidence admissibility, algorithmic sentencing bias, and liability for autonomous system failures are grounded in decisions that courts and regulators have already had to make. Not your book? Not a legal textbook — no footnotes, no statutes. If you need professional legal guidance, consult a qualified lawyer. This book is for anyone who wants to understand the landscape of AI law without a law degree.
