Harnessing AI in Commercial Practice: Optimizing Contract Drafting Practices

Artificial intelligence is transforming commercial contract drafting by automating routine language, surfacing clause alternatives, and improving consistency and compliance across agreements. This webinar will show procurement, legal, and commercial teams how to apply generative AI, natural language processing, document automation, and agentic AI to draft, review, and refine contracts more efficiently while maintaining legal rigor. Attendees will gain practical insight into how AI can support stronger contract lifecycle management, reduce manual effort, and help teams produce more accurate and standardized commercial agreements.

The session will explore practical strategies for building clause libraries, using prompt engineering to generate precise legal outputs, and integrating historical contract and negotiation data to reduce risk and contract leakage. Speakers will also demonstrate how AI can accelerate playbook application, prepopulate negotiation positions, and flag nonstandard terms for human review, leading to faster cycle times and better supplier outcomes. Alongside hands-on tactics such as prompt templates, version control, and human-in-the-loop review, the webinar will address governance essentials including audit trails, model validation, and data protection. Through real-world case studies, participants will see how organizations are reducing drafting time, minimizing redlines, improving compliance, and building a roadmap for responsible AI adoption in contract drafting.

• AI fundamentals for contract drafting, including generative AI, NLP, and agentic automation
• Data and content readiness, including preparation of historical contracts and clause metadata
• Clause libraries and prompt engineering for standardized, high-quality outputs
• Drafting automation workflows from initial draft through redlining and review
• Governance, compliance, and pilot design, including audit trails, validation, ROI metrics, and scaling strategy

• Identify AI capabilities relevant to contract drafting, including generative models, NLP, OCR, and automation.
• Build a clause library and prompt library to standardize outputs and reduce drafting variance.
• Implement human-in-the-loop workflows to support legal review, accountability, and quality control.
• Measure success using KPIs such as drafting cycle time, clause reuse rate, redline reduction, and contract leakage.
• Design a 60-day pilot plan with vendor selection criteria, data requirements, and scaling milestones.

Attending this webinar will give you practical tools and a clear action plan to modernize contract drafting in your organization. You will leave with usable frameworks, sample prompts and clause templates, and measurable strategies to improve efficiency, reduce risk, and scale AI responsibly.

Level: Intermediate
Format: Live webcast
Instructional Method: Group: Internet-based
NASBA Field of Study: Information Technology (2 hours)
Program Prerequisites: None
Advance Preparation: None