On-demand webinar: AI in deals—How artificial intelligence is reshaping legal due diligence, documentation, and efficiency in transactions

Key takeaways: How AI is reshaping legal transactions

AI is accelerating deal work, but legal oversight remains essential.

AI is changing how legal teams approach transactions, bringing new speed to diligence, drafting, and deal analysis. But faster workflows also create new responsibilities around oversight, risk management, and client expectations. These key takeaways highlight where AI is creating value in deal work and where human judgment remains essential. 

1. AI diligence acceleration: Use AI to summarize and triage thousands of diligence documents in hours instead of weeks but require qualified lawyers to validate every line because AI still misses material issues and context.
2. AI risk checklist: Expand diligence checklists to include a target’s AI use, data governance, IP and licensing (including open-source), privacy, discrimination risk, and securities disclosures to avoid “AI-washing” and regulatory exposure.
3. AI drafting efficiency: Apply AI to generate issue lists and first drafts of complex deal documents to cut drafting time (often 50% to 90%), then use experienced judgment to simplify overlong clauses and focus negotiations on what matters.
4. Hallucination risk controls: Treat hallucinations as a routine risk in both legal research and deal documentation by verifying citations, statutes, and factual assertions before sharing a work product with clients or counterparties.
5. AI pricing alignment: Align pricing and staffing with AI-driven efficiency by measuring time saved and value delivered, anticipating client pressure for lower bills, and investing in secure AI tools (or anonymizing inputs when using free tools) to protect confidentiality and privilege.