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Attorney

Conduct depositions and trial examination

Enhances◐ 1–3 years

What You Do Today

You question witnesses in depositions and at trial — eliciting testimony that supports your case, impeaching adverse witnesses, and building the factual record.

AI That Applies

AI organizes prior testimony and documents by witness, suggests areas for questioning based on document analysis, and provides real-time search during examination.

Technologies

How It Works

The system ingests document analysis as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — real-time search during examination — surfaces in the existing workflow where the practitioner can review and act on it.

What Changes

You're better prepared with AI surfacing every relevant document and prior statement for each witness, available for real-time reference.

What Stays

The art of examination — reading the witness, adapting your questions, controlling the narrative, and the courtroom presence that influences fact-finders.

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for conduct depositions and trial examination, understand your current state.

Map your current process: Document how conduct depositions and trial examination works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: The art of examination — reading the witness, adapting your questions, controlling the narrative, and the courtroom presence that influences fact-finders. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support AI Litigation Support tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long conduct depositions and trial examination takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your general counsel or managing partner

What data do we already have that could improve how we handle conduct depositions and trial examination?

They set the firm's AI adoption posture

your legal technology manager

Who on our team has the deepest experience with conduct depositions and trial examination, and what tools are they already using?

They manage the tools and can show you capabilities you don't know exist

a client who's adopted AI in their legal department

If we brought in AI tools for conduct depositions and trial examination, what would we measure before and after to know it actually helped?

Their expectations for outside counsel are shifting

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.