AI Contract Review & Redlining: Clause Risk Detection, Negotiation Playbooks, and AI-Assisted Redlines for Faster, Safer Deal Cycles

★★★★★ 4.3 99 reviews

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Management number 219221674 Release Date 2026/05/03 List Price US$10.93 Model Number 219221674
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Reactive PublishingAI Contract Review & Redlining is a practitioner’s guide to accelerating contract review without compromising legal judgment. Designed for in-house counsel, law firm associates, and legal operations teams, this book shows how to use AI as a force multiplier for identifying clause risk, streamlining redlines, and shortening deal cycles while maintaining control, accountability, and defensibility.Rather than treating AI as a black box, Kiera Donovan breaks contract review into its core decision layers: risk detection, fallback positioning, and negotiated outcomes. Readers learn how modern AI systems analyze clause structure, spot hidden exposure, flag deviations from playbooks, and generate context-aware redlines that align with firm or company standards. The focus is not automation for its own sake, but precision, consistency, and speed where it actually matters.The book goes beyond theory to provide practical negotiation playbooks, clause libraries, and review workflows that integrate AI into real legal environments. From NDAs and MSAs to complex commercial agreements, it demonstrates how to pair human legal reasoning with machine-assisted analysis to reduce errors, surface issues earlier, and eliminate repetitive review bottlenecks.With an emphasis on governance, auditability, and ethical use, AI Contract Review & Redlining equips legal professionals to adopt AI confidently and responsibly. The result is faster turnaround, clearer risk visibility, and safer deal execution, without surrendering professional judgment.This is not about replacing lawyers. It’s about giving them sharper tools. Read more

ISBN13 979-8242354753
Language English
Publisher Independently published
Dimensions 6 x 0.87 x 9 inches
Item Weight 1.13 pounds
Print length 383 pages
Publication date January 3, 2026

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