u/Elegant_Whereas6634

One thing I keep seeing in agency work is that AI makes the first version easier.

That is useful. A faster first pass can help with:

• campaign outlines
• concept variations
• client email drafts
• reporting summaries
• first-pass landing page copy
• rough creative directions

But I am less convinced that the first draft is the main bottleneck in client work.

The harder part often seems to start after the draft exists:

• does this match the client's actual strategy?
• did the client reject this angle before?
• is this claim supported?
• does it fit the brand voice they approved?
• did legal or compliance already flag similar wording?
• did a senior person review it?
• can the next person understand why this version changed?

The part that feels under-discussed is account memory.

If the creative director or account lead is the only person who remembers what the client hated in February, which claims are safe, which examples are overused, and which stakeholder cares about what, then AI may just create more things for that person to inspect.

That does not mean AI is bad for agency work. It means the operating system around the draft matters more than the draft itself.

Curious how other agency owners and operators are seeing this:

Has AI actually reduced client-ready production time, or has the bottleneck mostly moved into review, approvals, and account context?

A lot of legal AI discussion focuses on whether the model can draft.

That matters, but in large firm work the drafting step is only part of the workflow.

The more important question may be what happens after the AI-assisted draft exists.

For example:

• what matter context was used?
• what source documents were considered?
• what authorities or citations need checking?
• what was changed by the associate?
• what was changed by the partner?
• what version is client-ready?
• what reasoning needs to be preserved for later?

In a large firm, review state is not a nice-to-have.

The work often passes through multiple people. The final answer may depend on a chain of assumptions, prior client facts, source documents, and reviewer judgment.

If AI makes first drafts faster but does not preserve the work path, it may create a new kind of review burden.

The risk is not only hallucination.

The risk is uninspectable work:

• source detached from output
• reasoning hidden in a chat
• unclear review ownership
• version changes hard to track
• matter context reconstructed manually

I can see AI becoming very useful in large firm workflows, but only if it fits the review culture of the firm.

Curious how people in biglaw see this:

Is AI-assisted drafting actually the bottleneck, or is the harder issue preserving a reviewable path from source to final work product?

One thing I keep hearing in agency conversations is that AI has made the first version easier.

That part is not trivial. Faster first drafts can help with:

• concept directions
• campaign outlines
• client email drafts
• content variations
• research summaries
• reporting notes
• brief expansion

But I am less convinced that first-draft speed is the main bottleneck in client work.

For agencies, the hard part often seems to be everything after the draft:

• Does this match the client's actual strategy?
• Is the claim supported?
• Has the client rejected this angle before?
• Does it fit the brand voice they approved?
• Did a senior person review it?
• Are we about to create another round of client comments?
• Can the next person understand why this version changed?

AI can increase output volume before it increases review capacity.

That can be good or bad depending on the operating system around it.

If an agency has a strong review process, AI drafts may create more capacity.

If the review process is informal, AI may just create more things for senior people to inspect.

The part I find interesting is that this is not really an "AI writing" problem. It is an agency operations problem.

The output has to move through client context, source checks, review, approval, and handoff.

Curious how people here are seeing this in real agency work:

Has AI actually reduced client-ready production time, or has it mostly moved the bottleneck into review and approvals?