Streamlining Contract Review with AI: Key Steps and Tools

Contract review is a critical process for businesses, ensuring agreements are clear, enforceable, and aligned with strategic goals. However, as legal teams face increasing contract volume and complexity, inefficiencies in traditional review methods are becoming more apparent. Modern contract management tools and AI solutions are reshaping how reviews are conducted, paving the way for faster, more consistent workflows.

Key Stages of Contract Review

The process of reviewing a contract typically follows six stages:

• Intake and stakeholder alignment: Business owners provide context, deadlines, and key risks, enabling a focused review.
• Initial risk scan: Legal teams identify red flags, such as uncapped liabilities or missing data protection clauses, within 24-48 hours.
• Detailed clause review: A deeper examination of scope, payment terms, risk allocation, and other key sections is completed within 3-5 business days.
• Negotiation and redlining: Legal teams collaborate with business owners to balance language adjustments and commercial trade-offs.
• Approvals: Sign-off is obtained from relevant stakeholders based on the contract's value and risk profile.
• Pre-signature check: A final review ensures all terms, schedules, and exhibits are accounted for before signing.

Organizing these stages with clear ownership and timelines ensures reviews progress efficiently, avoiding bottlenecks.

Why AI Is Transforming Contract Review

AI tools are becoming indispensable in the contract review process. Platforms like Harvey.ai use machine learning to streamline workflows by automating tedious tasks and reducing legal exposure. These tools excel at:

• Flagging non-standard clauses and risks
• Extracting key terms like payment schedules and termination rights
• Comparing contract language against pre-approved templates and playbooks

For example, Harvey’s AI-assisted platform reportedly cut contract review times at Bridgewater Associates from two days to two hours. This kind of efficiency is vital as teams face growing contract volumes without proportional increases in staffing.

Best Practices for an Efficient Review

Legal teams can further optimize their processes by adopting these practices:

• Use standardized checklists: A consistent checklist ensures key risks like liability caps, payment terms, and data protection are evaluated the same way for every contract.
• Develop playbooks: Clear fallback positions for recurring contract types, such as NDAs or SaaS agreements, reduce unnecessary renegotiation.
• Centralize collaboration: Keeping all drafts, comments, and decisions in a shared system prevents version confusion and streamlines communication.

AI's Role in the Future of Legal Workflows

By 2030, contract review processes are expected to rely heavily on AI for initial triage and clause analysis, leaving lawyers to focus on strategic, high-value negotiations. AI tools like Harvey will become standard for legal teams aiming to improve cycle times, reduce errors, and enhance risk management.

Organizations that invest early in AI-supported workflows will likely lead in efficiency and compliance, setting new benchmarks for the industry. For those interested in exploring AI-assisted contract review, platforms like Harvey.ai offer demos to showcase their capabilities.