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Attorney

Draft and negotiate contracts

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What You Do Today

You draft agreements, review counterparty redlines, negotiate terms, and structure deals that protect your client's interests while getting to a workable agreement.

AI That Applies

AI generates first drafts from precedent, redlines incoming contracts against your preferred positions, and benchmarks terms against market standards.

Technologies

How It Works

The system reads contract text and legal documents, extracting clauses, obligations, and risk indicators. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The output — first drafts from precedent — surfaces in the existing workflow where the practitioner can review and act on it.

What Changes

Contract review becomes faster when AI highlights non-standard terms, missing protections, and deviations from your playbook automatically.

What Stays

The negotiation itself — reading the room, knowing when to push and when to concede, and crafting creative solutions that bridge gaps between parties.

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 draft and negotiate contracts, understand your current state.

Map your current process: Document how draft and negotiate contracts 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 negotiation itself — reading the room, knowing when to push and when to concede, and crafting creative solutions that bridge gaps between parties. 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 Contract AI 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 draft and negotiate contracts 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.