How are GC legal teams using AI to evaluate outside law firms?

GCs with internal AI fluency are doing three things that affect outside counsel: (1) Benchmarking research and drafting speed — a GC whose team uses Harvey or Claude internally can generate a first draft or run a research query themselves, and knows roughly how long it should take. When outside counsel takes two weeks for a task an AI completes in an hour, the gap is visible. (2) Self-drafting routine documents — GCs are writing first drafts of NDAs, standard contracts, and internal policies before sending them to outside firms for review. The instruction is now 'clean up and advise,' not 'draft from scratch.' Outside counsel who bill for first-draft time are increasingly exposed. (3) Reviewing invoices for AI-displaceable tasks — sophisticated GCs are reviewing legal bills and flagging tasks they believe AI should have handled faster. This is happening. Small law firms whose billing reflects pre-AI workflow efficiency are at greatest risk.

Does in-house GC AI adoption affect small law firms differently than large firms?

Yes, and often more directly. Large firms with dedicated LegalTech teams and AI already deployed can engage with AI-fluent GCs on equal footing. Small law firms that haven't formalized their AI workflows are more exposed to three pressures: (1) GCs who can generate their own first drafts will shift routine work away from small outside firms before they consider large ones — because small firms typically charge the same hourly rates for commodity work without the brand cushion; (2) Small firms rely more on relationship-based work that is harder to re-price mid-engagement; (3) GCs managing budgets are more likely to cut relationships with outside firms whose workflow hasn't evolved than to renegotiate with their primary large firm relationships.

What should a small law firm do right now in response to GC AI adoption?

Three moves: (1) Identify which clients have in-house legal teams with active AI programs — larger corporate clients or tech-adjacent companies are most likely. For those relationships, have a proactive conversation about how your firm is using AI in its research and drafting workflows. Clients who have invested in AI appreciate firms that have too. (2) Audit your billing for tasks that AI now handles faster — document review, basic research, first-draft contracts, invoice preparation. If you are billing at pre-AI rates for AI-accelerated work, you are both overcharging clients and creating a discoverable billing pattern. Move that work to fixed fees or document AI-assisted efficiency. (3) Add an AI disclosure and workflow summary to your next engagement letter renewal. A one-paragraph description of how your firm uses AI, what human review process applies, and how pricing reflects value rather than hours is enough. GCs ask about this in RFPs now — get ahead of it.

What is the link between the FTI GC Report and the ACC/Everlaw finding on outside counsel?

The FTI and ACC/Everlaw data tell the same story from two angles. The ACC/Everlaw survey (64% of in-house legal teams expect to depend less on outside firms because of AI) captures the in-sourcing direction: clients building AI capability to bring work in-house. The FTI data captures the evaluation shift: GC teams using AI fluency to scrutinize what they're sending to outside firms and what they're paying for it. Both signals accelerate together. Firms that respond to only one — 'we'll just specialize in complex work the AI can't do' — still face billing scrutiny on the complex work. The full response requires both: specialization and billing transparency.

FTI/Relativity GC Report: AI Adoption 2026

Published: March 15, 2026 | By: The Crossing Report | 7 min read

Summary

The FTI Consulting and Relativity General Counsel Report (March 2026) found that 87% of GCs now use AI in their legal teams — up from 44% a year ago. This near-doubling in adoption means corporate clients have developed an internal benchmark for how fast legal research should take, how long first drafts should run, and which tasks on an outside counsel invoice look inflated. Small law firms that haven't updated their workflows face three specific risks: billing pattern exposure, relationship equity loss when AI-fluent GC contacts change, and a first-draft shift that removes the entry point for routine commercial work. The playbook for small firms is specific: identify AI-fluent clients, audit your billing for AI-accelerated tasks, and add an AI disclosure paragraph to your next engagement letter renewal.

A year ago, your corporate clients' legal teams were where most small law firms are today: aware of AI, experimenting with it, not quite sure what to do with it.

That has changed.

The FTI Consulting and Relativity General Counsel Report (March 11, 2026) put a number on it: 87% of GCs now use AI in their legal teams. One year ago, that was 44%. The adoption nearly doubled in 12 months, and it is not slowing down. Corporate legal departments with formalized technology roadmaps hit an all-time high of 53%. Approximately 70% of GCs plan to invest in new legal tech in the next 12 months.

This is not a story about AI. It is a story about what happens to outside counsel relationships when the client becomes AI-fluent.

Three Ways GC AI Fluency Changes the Outside Counsel Dynamic

A GC who has deployed Harvey or Claude internally is not just working faster internally. They have developed a reference point for how fast legal research should be, how long a first draft should take, and which tasks on an invoice should never have taken three hours.

1. They can benchmark your speed

When a corporate GC runs a research query through their legal AI and generates a usable summary in 20 minutes, they have a new frame for how long outside counsel research should take. Not every task maps this cleanly — complexity still matters — but for standard tasks (jurisdictional analysis, regulatory research, case law summaries), GCs with AI tools increasingly know what "fast" looks like.

The small law firm that delivers in three days what a GC's internal AI could generate in 45 minutes is not just slow. They are visible.

2. They are writing first drafts themselves

GCs at companies with active AI programs are drafting their own first-version NDAs, vendor agreements, and internal policy documents before engaging outside counsel. The engagement model has shifted from "write this" to "review and advise on what we drafted." This is not universal yet — complex transactions, litigation matters, and specialized regulatory work haven't shifted this way. Routine commercial documents have.

The practical impact: outside firms that bill significant hours for first drafts of standard contracts are being squeezed from two directions at once. The GC is coming in with a draft, and then scrutinizing the review invoice for time they believe their draft should have shortened.

3. They are reviewing your invoices with AI assistance

This is newer and less discussed, but it is real. GCs with AI tools are running invoice review workflows — asking their AI to flag legal bills for tasks that appear routine, duplicate, or disproportionate to the matter. This mirrors what accounting firms have done with billing platforms for years. Legal billing technology (Onit, Legal Tracker, e-billing vendors) has included this capability for a while. What's new is that GCs without specialized billing technology can now approximate it with general AI tools.

The result: an increasingly sophisticated client-side review of whether outside firm billing reflects post-AI or pre-AI workflow efficiency.

What This Means for Small Law Firms Specifically

Large firms with dedicated LegalTech programs can engage AI-fluent GCs on relatively equal footing. They have deployed the tools, have governance frameworks, and can demonstrate AI use in their pitches.

Small law firms face a different exposure. Three specific risks:

Billing pattern exposure. If your billing reflects pre-AI workflow efficiency — full hours for research that AI shortens, standard rates for drafting tasks that AI now assists — sophisticated GCs have the fluency to notice. This does not mean you need to reduce fees. It means you need to be able to explain your billing in terms of outcomes and judgment, not process steps.

Relationship equity. Small firms rely more on long-standing relationships with key contacts. When a GC is promoted, replaced, or their company is acquired by a company with a more tech-forward in-house team, that relationship equity can reset quickly. The GC who does not know you personally will default to the firm that can demonstrate AI-enabled efficiency.

The first-draft shift. If your corporate clients start sending you their own NDA drafts, how you handle that redirection matters. The firms that reposition well — as reviewers, advisors, and strategists rather than first-draft drafters — keep the relationship. The firms that push back on process or continue billing at first-draft rates risk losing the work entirely.

Three Moves for Small Law Firms Before This Dynamic Hardens

Move 1: Have the conversation before it's asked

Identify which clients have in-house legal teams with active AI programs — typically larger corporate clients, tech companies, or companies that have publicized AI initiatives. For those relationships, initiate a conversation about your firm's AI workflow before the client brings it up in an RFP or billing review.

The conversation does not need to be complicated: "We are using AI-assisted research and drafting tools in our workflow. Here is how it works and how we verify output before it becomes work product. We would welcome a conversation about how this changes our engagement model."

Clients who have invested in AI internally appreciate outside firms that have too. They are more skeptical of firms that haven't.

Move 2: Audit your billing for tasks AI now accelerates

Before your next billing cycle, review your invoices for tasks that AI tools have made substantially faster in your own workflow. For any task where AI assistance reduced the time by more than 50%, document the value delivered — not the time spent.

Two options: move those tasks to flat fees that reflect the value of the outcome (e.g., "NDA review and redline, standard commercial terms: $[X]"), or document in your invoice description why the time reflects complexity, judgment calls, or unusual circumstances. The worst outcome is billing pre-AI rates for AI-assisted work without explanation. That is what GC billing reviewers find.

Move 3: Add an AI disclosure and workflow summary to your next renewal

The next time you renew an engagement letter with a corporate client, add one paragraph describing how your firm uses AI tools, what human review process applies, and how your pricing reflects value rather than hours. Keep it plain and specific.

A template paragraph:

"Our firm uses AI-assisted tools for research, first-draft document generation, and contract review support. All AI-generated work product is reviewed and approved by a licensed attorney before delivery. Our fees reflect our professional expertise and the value of the outcome delivered; they are not based solely on time spent on individual tasks. Where direct AI tool costs are incurred on your behalf, they will be itemized separately and in advance."

That paragraph answers every question a sophisticated GC will ask. It positions you as ahead of the curve rather than behind it.

The Broader Pattern

The FTI data does not exist in isolation. The ACC/Everlaw survey found that 64% of corporate legal departments expect to depend less on outside firms because of AI. The Thomson Reuters 2026 AI in Professional Services report found that organizations with a formal AI strategy are 3x more likely to achieve positive ROI.

Both of those findings describe a world where AI fluency has become a selection criterion — not just for clients choosing between two comparable firms, but for clients deciding whether to engage outside counsel at all for certain categories of work.

The GC who can run a research query themselves, write a first draft with AI, and review your invoice for AI-displaceble tasks is not looking to eliminate outside counsel. They are looking to eliminate outside counsel relationships that do not acknowledge the shift.

The firms that acknowledge it — with a clear AI workflow, appropriate billing structure, and an honest client conversation — keep the relationship. The ones that don't are creating an opening for the next firm that will.

Your Next Step

This week: Pull your three most AI-fluent corporate clients. Check whether they have issued any RFP language or billing guidelines about AI use — some corporate GCs have already circulated this. If not, open the conversation. A five-minute email asking whether they have any preferences around AI use in their matters is enough to start. Their response tells you where the relationship is and how much runway you have.

Related reading:

87% of Your Clients' Legal Teams Now Use AI — Here's How They're Using It to Grade You