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Litigation Associate

Research legal issues and draft memoranda

Enhances✓ Available Now

What You Do Today

Search Westlaw/Lexis for relevant case law, analyze holdings, synthesize authority into persuasive legal memos that frame the winning argument

AI That Applies

AI legal research tools find cases, analyze holdings, and draft research memos — reducing the initial research phase from hours to minutes

Technologies

How It Works

The system ingests hours to minutes as its primary data source. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The output is a first draft that captures the essential structure and content, ready for human editing and refinement.

What Changes

Research starts with AI-generated case summaries and analysis; you refine, verify, and craft the argument rather than starting from a blank search

What Stays

Legal analysis — identifying the winning theory, distinguishing bad cases, and crafting persuasive arguments — is core lawyering

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 research legal issues and draft memoranda, understand your current state.

Map your current process: Document how research legal issues and draft memoranda works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Legal analysis — identifying the winning theory, distinguishing bad cases, and crafting persuasive arguments — is core lawyering. 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 CoCounsel 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 research legal issues and draft memoranda 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 content do we produce the most of that follows a repeatable structure?

They set the firm's AI adoption posture

your legal technology manager

What's our current review and approval process, and would AI-generated first drafts change the bottleneck?

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

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.