Drafting Legal Documents Effectively with AI: Balancing Precision, Speed, and Risk Management
- Trent Smith

- Oct 24
- 5 min read
Updated: Oct 28

Artificial intelligence (AI) is reshaping how lawyers approach drafting. Traditionally, drafting began with precedent libraries or templates. Now, advanced AI tools can understand context, tone, and intent, making it possible to generate first drafts from scratch that are structured, consistent, and legally coherent.
However, the key to effective AI drafting lies in control: providing clear, layered instructions that tell the AI what to produce, how to phrase it, and what level of risk or tone to reflect. This article outlines a practical, step-by-step method for drafting accurate and balanced legal documents using AI, even when no precedent exists.
Step 1: Build the Document Structure
Before drafting any content, switch the AI into thinking mode (or your model’s equivalent reasoning function). Using thinking mode typically produces a more comprehensive agreement and reduces errors, as the AI considers the full context before drafting.
Start by asking the AI to create a structure first, for example:
“Provide a typical structure (in list form) for a services agreement under Australian commercial law, listing key clause headings.”
Review the proposed structure, then adjust it to match your transaction. You might add clauses such as Data Security, Modern Slavery, or ESG Reporting, depending on the nature of the engagement.
A clear structure sets the foundation for consistent drafting and avoids logical gaps later.
Step 2: Define the Purpose and Context
Next, define the overall purpose, tone, and commercial setting. This ensures every clause is generated with the right perspective. Your instruction should include:
Document type – e.g. services agreement, NDA, or lease.
Jurisdiction – specify applicable law (“draft under Queensland law”).
Parties and objectives – who is involved and what they are agreeing to.
Tone – formal, plain-language, or policy-based.
Risk position – balanced, buyer-friendly, or supplier-friendly.
For example:
“Using the agreement structure we just created, draft a professional services agreement under Queensland law between a consulting company and a government client. The objective is to set out the terms for the provision of ongoing advisory and project support services. The drafting should use clear, modern language in a formal yet accessible style, reflecting a balanced risk position between the parties. Ensure there are recitals, as well as a definition and interpretation section.”
This type of context-setting helps the AI draft in a way that mirrors your intent and legal environment.
Step 3: Review and Refine Clauses Using Precedents or Principles
Once you have a first draft, review each clause to align it with your organisation’s preferred risk position and style.
You can refine clauses in two ways:
(a) Use Precedent Clauses
If you already have proven language, simply insert it.
“Replace the confidentiality clause with the following wording, updating party names and definitions for consistency: [insert clause wording].”
(b) Use Principles-Based Prompts
Where you do not have a precedent, focus on what you want to achieve rather than exact wording. This allows the AI to adapt intelligently. Examples:
“Amend the termination for convenience clause so either party can terminate on 10 business days’ notice instead of 20.”
“Revise the limitation of liability clause to cap liability at fees paid in the previous 12 months, retaining carve-outs for fraud, wilful misconduct, and personal injury.”
“Ensure the IP ownership clause distinguishes between background IP and new IP, with new IP owned by the client.”
You can also ask for variations:
“Provide two versions of this clause, one supplier-friendly and one balanced.”
Combining precedents with principles-based prompts delivers both certainty and flexibility, producing language that aligns with commercial realities while maintaining quality.
Step 4: Refine Tone, Style, and Clarity
AI excels at improving tone and readability. Once the draft is complete, refine it further through targeted instructions:
“Simplify this clause while maintaining its legal effect.”
“Rewrite this agreement in plain English suitable for non-lawyers.”
“Ensure consistent definitions, numbering, and cross-references throughout.”
This step ensures your document reads professionally, avoids redundancy, and remains accessible to business users.
Step 5: Validate for Consistency and Completeness
Before finalising, use validation prompts to check for omissions and inconsistencies. Examples:
“List any clauses that may be missing from this agreement based on standard Australian commercial practice.”
“Highlight inconsistent terminology or undefined terms.”
“Summarise all obligations imposed on each party.”
These checks help identify drafting gaps and ensure that obligations, risks, and responsibilities are balanced and complete.
Step 6: Strengthen High-Risk Clauses
Pay particular attention to clauses that carry significant legal or commercial risk, such as indemnities, liability, confidentiality, and data protection. Ask the AI to stress-test them:
“Review this limitation of liability clause and suggest ways to make it clearer and commercially reasonable.”
“Analyse this indemnity clause for ambiguity or unfairness.”
This method ensures key provisions withstand scrutiny and align with your organisation’s position before the document proceeds to formal legal review.
Step 7: Add Summaries and Definitions for Readability
If your agreement contains complex technical terms, you can ask the AI to prepare a plain-language summary for each clause.
“Create a table with one-sentence summaries of each clause for internal review.”
These summaries are particularly valuable for business stakeholders who need to understand obligations quickly without reading every provision in full.
Step 8: Maintain Control and Oversight
AI drafting is a support tool, not a substitute for legal judgment. Always assume the first output is a starting point. Maintain control by:
Reviewing every section for legal accuracy and relevance.
Checking statutory references and defined terms manually.
Ensuring no unintended obligations have been introduced.
Aligning final drafting with internal risk and governance frameworks.
Human review remains essential. The lawyer provides the reasoning, context, and judgment that the AI cannot.
Step 9: Protect Confidentiality and Data Security
When providing background information to AI systems, handle all data in accordance with professional and privacy standards.
Use enterprise or secure AI environments, not public models.
Avoid sharing identifiable client or transaction details unless compliant.
Retain all drafts within your internal document management system.
Confidentiality must always match the standards expected of traditional legal drafting.
Step 10: Collaborate and Iterate
Once the baseline draft is ready, collaboration helps refine it further. AI can help summarise feedback and integrate revisions quickly:
Collect comments from business or legal reviewers.
Ask the AI to consolidate them into a clean version.
Request a summary of changes and their rationale.
This workflow reduces turnaround time while maintaining visibility over edits and decision points.
Step 11: Evaluate and Learn
After several drafting exercises, review what worked well. Ask:
How much time did AI save compared with manual drafting?
Which prompts produced the most accurate results?
Which clauses required the most re-work?
Capture these insights to refine your future drafting approach and improve efficiency over time.
The Role of the Lawyer
AI accelerates drafting, but lawyers still determine:
What should be included.
How risk should be allocated.
Which legal principles apply.
When to depart from AI-generated wording.
Lawyers who understand how to structure instructions, review outputs critically, and translate commercial intent into clear legal language will gain the most benefit.
Finding the Right Balance
Effective AI drafting blends clarity, control, and creativity.
Clarity comes from well-structured, detailed instructions.
Control comes from critical review and verification.
Creativity comes from exploring multiple drafting styles and approaches.
When these elements align, AI becomes a genuine drafting partner — one that enhances precision, speeds up delivery, and strengthens risk management.
The goal is not to replace the lawyer, but to empower them: transforming drafting from a time-consuming task into a strategic, collaborative exercise that combines human expertise with machine precision.




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