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Entertainment Attorney

Draft and negotiate co-production agreements

Enhances◐ 1–3 years

What You Do Today

Structure multi-party production deals — split rights, financing obligations, creative control, distribution territories, accounting methodology

AI That Applies

AI generates deal structure options from parameters, benchmarks against comparable co-productions, and drafts initial agreement language

Technologies

How It Works

The system tracks product usage data — feature adoption, user flows, error rates, and engagement patterns. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — deal structure options from parameters — surfaces in the existing workflow where the practitioner can review and act on it.

What Changes

Complex deal structuring benefits from AI-generated options and benchmarking; you see more possibilities before committing to a structure

What Stays

Balancing multiple parties' interests, creative control negotiations, and the diplomacy that makes complex deals work

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 co-production agreements, understand your current state.

Map your current process: Document how draft and negotiate co-production agreements works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Balancing multiple parties' interests, creative control negotiations, and the diplomacy that makes complex deals work. 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 management tools 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 co-production agreements 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's our current capability gap in draft and negotiate co-production agreements — and is it a people problem, a tools problem, or a process problem?

They set the firm's AI adoption posture

your legal technology manager

What's the biggest bottleneck in draft and negotiate co-production agreements today — and would AI address the bottleneck or just speed up something that's already fast enough?

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.