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Litigation Associate

Prepare for and take depositions

Enhances◐ 1–3 years

What You Do Today

Outline deposition questions, review relevant documents, take or defend depositions — the live examination where cases are won and lost

AI That Applies

AI analyzes prior testimony, organizes exhibit sets, and identifies inconsistencies between documents and prior statements

Technologies

RelativityDeposition analytics toolsGenerative AI

How It Works

The system ingests prior testimony as its primary data source. A language model processes the input by identifying relevant context, generating appropriate responses, and structuring the output to match the expected format and domain conventions. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What Changes

Deposition prep is more thorough; AI surfaces every relevant document and prior statement for each topic area

What Stays

Taking the deposition — reading the witness, adapting questions on the fly, and the courtroom instinct that creates the record you need

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 prepare for and take depositions, understand your current state.

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Map your current process: Document how prepare for and take depositions works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
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Identify the judgment points: Taking the deposition — reading the witness, adapting questions on the fly, and the courtroom instinct that creates the record you need. These are the boundaries AI won't cross.
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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 Relativity 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 prepare for and take depositions 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 prepare for and take depositions?”

They set the firm's AI adoption posture

your legal technology manager

“Who on our team has the deepest experience with prepare for and take depositions, 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 prepare for and take depositions, 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.

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