It’s 11 PM the night before a deposition. You’re surrounded by banker’s boxes, sticky notes, and three different highlight colors. You’ve been at this for six hours and you’re still not confident you’ve covered everything.

Sound familiar? Deposition prep is one of the most time-intensive tasks in litigation: and one of the highest-stakes. Miss a key document, forget to ask about a critical timeline, and the whole case can shift. AI won’t take the deposition for you, but it can cut your prep time dramatically while making sure you don’t miss anything.

AI won’t take the deposition for you, but it can cut your prep time in half.

Generating Deposition Questions

Start with the basics. Give AI the context and let it generate a first draft of questions:

“Generate 20 deposition questions for [deponent role] in a [case type] case. The key issues are [list issues]. Include a mix of: background questions, questions about specific events, questions about documents, and questions designed to lock in testimony. Organize by topic.”

This gives you a framework. You’ll add, remove, and reorder: but starting from 20 questions is faster than starting from zero.

Topic-Specific Question Sets

For more targeted prep, generate questions by topic:

“Generate 10 deposition questions about [specific topic: e.g., the defendant’s knowledge of the defect, the timeline of contract negotiations, the plaintiff’s medical treatment]. Focus on establishing facts that support [your theory of the case]. Include follow-up questions for likely evasive answers.”

Anticipating Testimony

This is where AI gets interesting. Ask it to role-play the deponent:

“You are [deponent role] in a [case type] case. The key facts are [brief summary]. I’m going to ask you deposition questions. Answer as this person would: including evasive or self-serving answers. Then, after each answer, suggest a follow-up question that pins down the testimony.”

This exercise helps you prepare for the actual deposition by anticipating how the witness will respond.

Document-Based Questions

If you have key documents, summarize them for AI and generate questions:

“I have an email from [person] to [person] dated [date] that says [summary]. Generate 5 deposition questions that use this email to establish [what you want to prove]. Include questions about who else saw the email, what actions were taken after it, and whether the statements in it are accurate.”

Creating the Deposition Outline

Once you have your questions, organize them:

“Organize these deposition questions into a logical outline. Group by topic. Start with background, then move to [chronological events / specific issues]. End with summary questions that lock in key testimony. Add time estimates for each section assuming a 7-hour deposition.”

Preparing the Deposition Notice

For the administrative side:

“Draft a Rule 30(b)(6) deposition notice for [entity] in [case name]. Topics of examination: [list topics]. Include standard document requests related to each topic. Follow [jurisdiction] rules for notice requirements.”

What AI Gets Wrong in Depo Prep

• Case-specific strategy: AI doesn’t know your judge, opposing counsel’s style, or the dynamics of your case
• Evidentiary rules: AI may suggest questions that are objectionable
• Witness psychology: reading a witness and adjusting in real-time is a human skill
• Privileged information: be careful what case details you share with AI tools

The Workflow

1. Day 1: Feed AI the case summary and key documents. Generate initial question sets by topic. (1 hour with AI vs 3-4 hours manual)
2. Day 2: Review and refine questions. Add case-specific follow-ups. Organize the outline. (2 hours)
3. Day 3: Practice with AI role-playing the deponent. Identify weak spots. (1 hour)

Total: 4 hours of prep. Without AI: 8-12 hours for a complex deposition.

Related reading: 10 ChatGPT Prompts for Lawyers · AI for Legal Document Drafting: Contracts, Letters, and Motions · AI for Paralegals: 7 Tasks AI Makes Faster

🛠️ Need to draft follow-up emails to clients about deposition scheduling? Try our Client Email Drafter.

Getting Started

The best approach for lawyers is to start small and build from there. Pick one workflow or task that takes you the most time each week: that’s where AI will have the biggest impact.

Here’s a simple framework:

1. Identify your time sink: What repetitive task do you spend 3+ hours on weekly?
2. Draft your first prompt: Be specific about the output format, tone, and context you need.
3. Iterate and refine: Your first output won’t be perfect. Edit it, then refine your prompt for next time.
4. Build a template library: Save prompts that work well so you don’t start from scratch each time.
5. Measure the time saved: Track how long tasks take before and after AI. This justifies further investment.

Most lawyers report that the first two weeks feel slow (learning curve), but by week three, they’ve saved 5-10 hours that would have been spent on manual work.

Common Mistakes to Avoid

After working with hundreds of lawyers who use AI, these are the patterns that waste time instead of saving it:

• Being too vague in prompts: “Write me an email” produces generic output. “Write a follow-up email to a client who hasn’t responded in 5 days, professional but warm tone, referencing our last meeting about their Q3 budget” produces something usable.
• Skipping the review step: AI output is a first draft, not a final product. Always read through before sending to clients or publishing. The 2 minutes you spend reviewing saves you from embarrassing errors.
• Trying to automate everything at once: Start with one workflow, master it, then add another. Lawyers who try to implement 10 AI tools simultaneously end up using none of them well.
• Not keeping templates updated: Your industry changes, your clients change, your tools update. Review your AI workflows every quarter and update prompts that no longer produce quality output.
• Ignoring data privacy: Never paste confidential client information into tools that don’t have proper data handling policies. Check whether your AI tool trains on user data before uploading sensitive documents.

The Bottom Line

The tools and approaches covered here represent the current best options for lawyers in 2026. The landscape changes fast: new tools launch monthly and existing ones add features quarterly. But the fundamentals stay the same: pick tools that solve real problems you have today, start with the simplest option that works, and only upgrade when you’ve outgrown what you have.

The biggest risk isn’t choosing the wrong tool: it’s analysis paralysis. Lawyers who spend three months evaluating options lose more productivity than those who pick a “good enough” tool and start using it immediately. You can always switch later; you can’t get back the time spent deliberating.

FAQ

Do I need any special tools to get started with this?

For most AI applications, you just need a ChatGPT ($20/month) or Claude ($20/month) subscription. Some tasks benefit from specialized tools, but you can start with a general AI assistant and add specific tools as your needs grow.

How much time will this actually save me?

Most lawyers report saving 3-8 hours per week once they’ve established their AI workflows. The first week is slower as you learn, but by week 2-3, the time savings compound. Focus on the tasks you do repeatedly: that’s where AI saves the most time.

Is the output quality good enough to use directly?

Rarely use AI output without editing. Think of AI as producing a strong first draft that’s 70-80% ready. Your expertise adds the final 20-30%: context, nuance, and accuracy that AI can’t provide. Always review before sending to clients or publishing.

What are the biggest mistakes lawyers make with AI?

The top three: (1) not providing enough context in prompts, (2) trusting output without verification, and (3) trying to automate everything at once instead of starting with one workflow. Start small, verify everything, and expand gradually.

Will AI replace lawyers?

No. AI replaces tasks, not jobs. The lawyers who use AI will outperform those who don’t: they’ll handle more clients, produce better work, and spend less time on repetitive tasks. The value shifts from execution to judgment and relationships.