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General Counsel

Contract Review & Negotiation

Enhances✓ Available Now

What You Do Today

Review and negotiate material contracts — vendor agreements, customer MSAs, partnership deals, real estate leases. Flag risk, negotiate terms, and get deals closed.

AI That Applies

AI-powered contract analysis that reads incoming contracts, flags non-standard clauses, compares terms against your playbook, and suggests redlines.

Technologies

How It Works

The system ingests incoming contracts 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

First-pass review happens in minutes instead of hours. AI catches buried clauses (auto-renewals, assignment restrictions, indemnification traps) that human reviewers sometimes miss in volume.

What Stays

Negotiation strategy. Knowing which terms to fight for, which to trade away, and how to structure a deal that protects the business without killing it.

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 contract review & negotiation, understand your current state.

Map your current process: Document how contract review & negotiation works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Negotiation strategy. 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 Natural Language Processing 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 contract review & negotiation 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 contract review & negotiation?

They set the firm's AI adoption posture

your legal technology manager

Who on our team has the deepest experience with contract review & negotiation, 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 contract review & negotiation, 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.