Skip to content

eDiscovery Specialist

Evaluate and implement new legal technology

Enhances✓ Available Now

What You Do Today

Assess new eDiscovery tools, manage platform upgrades, train teams on technology, and drive efficiency improvements in the litigation support workflow

AI That Applies

AI itself is the primary technology you evaluate — new review tools, analytics capabilities, and automation features emerge constantly

Technologies

How It Works

The system reads contract text and legal documents, extracting clauses, obligations, and risk indicators. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What Changes

The pace of new technology accelerates; you spend more time evaluating AI capabilities and less time on manual tool comparison

What Stays

Assessing whether new technology actually improves outcomes, managing change in conservative legal teams, and ensuring technology serves the case

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 evaluate and implement new legal technology, understand your current state.

Map your current process: Document how evaluate and implement new legal technology works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Assessing whether new technology actually improves outcomes, managing change in conservative legal teams, and ensuring technology serves the case. 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 Various eDiscovery platforms 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 evaluate and implement new legal technology 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 evaluate and implement new legal technology?

They set the firm's AI adoption posture

your legal technology manager

Who on our team has the deepest experience with evaluate and implement new legal technology, 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 evaluate and implement new legal technology, 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.