; 87016233 5 Reasons ChatGPT Falls Short for Contract Review: And What to Look for Instead

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5 Reasons ChatGPT Falls Short for Contract Review: And What to Look for Instead

As GenAI tools become more accessible, legal, procurement, & supply chain teams face a growing challenge: cutting through the hype to identify what truly delivers. In high-stakes, high-volume contract environments, not all AI-powered redlining tools are created equal. Choosing the wrong solution can introduce risk, inconsistency, & operational slowdowns.

Inconsistent reviews aren’t just a nuisance; they’re a liability. Whether working with NDAs, MSAs, or complex vendor agreements, a single missed clause or off-brand edit can lead to costly legal & operational consequences. For those focused on efficiency and third-party risk mitigation, scalable & repeatable AI-assisted reviews are essential—not optional.

Learning Objectives:

  • Why general-purpose AI struggles with contract consistency, traceability, and risk management.
  • How to evaluate the 3 core factors that impact an AI redline tool’s reliability.
  • The 5 essential quality attributes that define trustworthy, negotiation-ready output.
  • What questions to ask vendors to protect your team from inconsistent results and hidden risk.
  • How to align redline AI capabilities with your contracting volume, review processes, and strategic goals.

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SPONSOR WEBINAR

Date

Aug 7, 2025

Add To Calendar 8/7/2025 1:00:00 PM 8/7/2025 2:00:00 PM ET 5 Reasons ChatGPT Falls Short for Contract Review: And What to Look for Instead

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Online

Time

1 PM - 2 PM ET

Location

Online
CEH Credits
1.0
Product Code
SPONSORWEB2508

Additional Information

Description

Presented by:

Tom Henson, SVP of Product Management & Marketing at LegalSifter

Tom connects client needs with LegalSifter’s AI-driven contract review solutions and strategic roadmap. He applies over 30 years of experience in scaling growth-stage companies, launching integrated IoT and SaaS products, and building high-performing teams across industries including industrial safety, clinical data management, and supply chain.

Lars Mahler, Chief Science Officer at LegalSifter

Lars brings over a decade of contract-specific NLP research and enterprise-grade engineering to LegalSifter. His work has shaped AI-powered contract review, introducing structured, auditable, and controlled automation that empowers legal teams. His innovations helped define the benchmarks and frameworks now guiding the future of explainable, negotiation-ready AI redlining.

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