Baker McKenzie Fired 1,000 People and Blamed AI — What Small Law Firms Need to Do Now
Published February 10, 2026 · By The Crossing Report
Published: March 14, 2026 | By: The Crossing Report | 7 min read
Summary
On February 11, 2026, Baker McKenzie announced it was eliminating 600–1,000 support staff positions — research teams, know-how managers, marketing staff, secretarial, and offshore operations — and explicitly attributed the cuts to AI. The trade press immediately asked whether this gave BigLaw "permission" to blame AI for mass layoffs. The more important question for a 10-person law firm: which of those functions are your lawyers doing themselves, and what does it cost you? This article maps the Baker McKenzie cuts to small-firm workflows and gives you a concrete starting point.
What Baker McKenzie Actually Cut
The announcement landed on February 11, 2026. Baker McKenzie — one of the world's largest and highest-revenue law firms — eliminated between 600 and 1,000 positions. Above the Law asked immediately whether this was the moment that gave BigLaw "permission to blame AI for mass layoffs." Bloomberg Law covered the cuts as a "wake-up call."
But here is what the coverage mostly missed: Baker McKenzie did not cut lawyers.
The eliminated positions were support infrastructure:
- Research teams — staff dedicated to legal research support for attorneys
- Know-how management — staff who captured, organized, and maintained institutional legal knowledge (precedents, research memos, practice playbooks)
- Marketing — staff supporting business development and firm positioning
- Secretarial and admin — scheduling, drafting correspondence, document management
- Offshore operations — typically document processing, formatting, and clerical volume work
These are the people who, at a $3B+ global firm, handle the functions that allow senior attorneys to practice at the highest level. They are not lawyers. They are the support infrastructure that makes a large firm run.
The Small-Firm Translation
I've spent years running a professional services firm. When I read the Baker McKenzie announcement, my first thought wasn't "the legal industry is in trouble." It was: "The functions they're cutting are the ones my team does themselves."
At a 5-20 person law firm, there is no research team. The attorneys do their own research — or they don't do it as thoroughly as they should because there isn't time. There is no know-how manager. Precedents live in a shared Google Drive folder that no one maintains consistently. There's no offshore document processing team — there's a paralegal who handles formatting when she has bandwidth.
Baker McKenzie is cutting $40M+ in annual support costs because AI can now perform those functions at scale. The small-firm implication is not that AI will take lawyer jobs. It is that AI now gives a 10-person firm access to the same leverage that BigLaw has been buying with headcount for decades.
The question is whether you use it.
Three Functions to Address Now
1. Legal Research
Baker McKenzie's research teams produced faster, more thorough research than attorneys doing it themselves. For a small firm without that team, the equivalent is a tool that can retrieve and synthesize relevant case law, statutes, and secondary sources faster than manual Westlaw searching.
What's accessible now:
- CoCounsel by Thomson Reuters — If your firm is on Westlaw Precision, CoCounsel is already included. It retrieves cases, drafts research memos, and synthesizes findings from verified primary sources. This is the tool Baker McKenzie's research team was competing with. Check your Westlaw subscription before paying for anything else.
- Clio Duo (for Clio users) — Built-in research assistance and matter summarization.
- August AI — Self-serve legal AI, launched January 2026 with a free 2-week trial. Faster setup than CoCounsel for firms not on Westlaw.
The starting point this week: Log into Westlaw. Check whether your subscription includes CoCounsel. If it does, run one research task you would have done manually. Measure the time.
2. Know-How Management
This is the function most overlooked by small firms — and the one where the leverage is highest.
Know-how management is institutional memory made searchable. At Baker McKenzie, dedicated staff maintain libraries of past research, vetted contract clauses, intake questionnaires, deal checklists, and practice-specific precedents. When a senior attorney needs a starting point, they query the library — not their email.
At most small firms, that library doesn't exist. Precedents are "wherever the file is saved." Research is redone from scratch for each matter. The attorney who built the firm's contract approach is the only person who can find it.
AI now makes building and querying a small-firm knowledge base tractable without a dedicated team:
What works at small-firm scale:
- Notion AI — Build a library of precedents, research summaries, and intake answers in Notion. Notion AI can draft, summarize, and answer questions from within the knowledge base. A paralegal can maintain it without a dedicated know-how role.
- Claude.ai (Pro or Team) — Upload past research memos, contract templates, or intake documents as project files. Query them by matter type. The firm's institutional knowledge becomes searchable without a dedicated search infrastructure.
- CoCounsel's matter memory — For firms on CoCounsel, matter-level context can be retained across sessions, approximating the continuity that a research team provides.
The starting point this week: Pick one practice area. Collect the five documents you reference most often for that practice — a contract template, a checklist, a past research memo, an intake form, a standard letter. Put them in a Notion page or a Claude project. Run one query against them. This is what know-how management looks like at the small-firm level.
3. Administrative and Scheduling Overhead
Baker McKenzie's secretarial cuts cover the functions most visible to clients: scheduling, correspondence management, document formatting, and follow-up. For a small firm where attorneys handle much of this themselves, the load is real and the cost is measured in time that should have been client-facing.
What's accessible now:
- Microsoft Teams AI Companion — Automated meeting summaries, action item extraction, and follow-up drafting. If your firm uses Microsoft 365, this is already in your stack.
- Fathom — Free AI meeting assistant for video calls. Records, transcribes, and generates a shareable client call summary. Free tier covers most small-firm needs.
- Calendly with AI scheduling preferences — Eliminates the back-and-forth scheduling that paralegals traditionally managed.
The starting point this week: Turn on Fathom or Teams AI Companion for your next client call. Review the summary. Assess whether your follow-up email takes less time to write with an AI-generated summary than it did from raw notes.
What This Is Not
It is not an immediate threat to your firm's revenue. Baker McKenzie's cuts did not produce an overnight competitive shift for small law firms — the clients who hire Baker McKenzie are not your clients.
But it is a signal. When the most-resourced firms in the world conclude that AI makes large research, knowledge management, and admin teams redundant, the message is clear: these functions are being restructured across the industry. Firms that use AI to do them better will have an advantage. Firms that don't will spend attorney time on work that AI has made scalable.
The small-firm opportunity is that you were already running lean. You don't have a team to replace — you have workflows to upgrade.
The Starting Point
Pick one function from the three above. Not all three. One.
If your attorneys do their own research: check your Westlaw subscription for CoCounsel today.
If your firm's institutional knowledge lives in email threads and shared drives: spend 30 minutes building a Notion page for one practice area.
If administrative overhead is consuming attorney time: run Fathom on your next client call and review the output.
One function, improved, in the next five business days. That is the Baker McKenzie lesson translated to a 10-person firm.
Sources: Bloomberg Law — Baker McKenzie Layoffs February 2026 | Above the Law — Did Baker McKenzie Just Give BigLaw Permission to Blame AI? (February 2026) | Above the Law — Baker McKenzie's AI Problem Is More Complicated (February 2026)
Related Reading:
- The Legal AI Market Just Split in Two — and Buying the Wrong One Is Expensive
- ABA Opinion 512 Is Now in Force — What Small Law Firms Need to Do This Week
- Harvey and the LegalTech Fund: What $110M in Legal AI Investment Means for Small Firms
- Clio's Legalweek Benchmarks: 40% Shorter Case Cycles and What They Mean for Small Firms
- 4th Circuit AI Filing Sanctions: The Three-Step Compliance Checklist for Law Firms
Frequently Asked Questions
What positions did Baker McKenzie cut in its AI-related layoffs?
Baker McKenzie eliminated 600–1,000 support staff positions across research, know-how management, marketing, secretarial, and offshore operations roles. The firm explicitly cited AI as the driver for the reduction, noting that AI tools were now capable of handling work previously performed by these teams.
Does the Baker McKenzie AI layoff mean lawyers will lose their jobs?
Not based on these cuts. Baker McKenzie's layoffs affected support infrastructure — non-lawyer roles that supplement attorney work. The firm retained its attorney headcount. The more relevant question for small law firms is not 'will AI replace lawyers' but 'which support functions are you doing yourself that AI can now handle?' At a 10-person firm, lawyers are often doing the same research, administrative, and knowledge management work that BigLaw has dedicated teams for.
What is know-how management, and why is it relevant to small firms?
Know-how management refers to capturing, organizing, and reusing institutional knowledge — precedent documents, past research memos, client intake answers, deal playbooks. At large firms, dedicated know-how teams maintain these libraries. At small firms, this knowledge lives in email threads, shared drives, and individual attorneys' heads. AI tools now make it possible for a small firm to build and query a structured knowledge base without a dedicated team to manage it.
What AI tools can small law firms use to replace the support functions Baker McKenzie is cutting?
For legal research: Clio Duo's research features, Westlaw CoCounsel (if you're on Westlaw Precision), or the research module in Harvey (enterprise). For knowledge management: Notion AI for organizing precedents and research memos; CoCounsel's matter memory features. For admin and scheduling: Microsoft Teams AI Companion for meeting summaries; Calendly with AI-assisted scheduling. The key distinction: you don't need enterprise tools. You need one tool for each function, deployed intentionally.
Is this a threat or an opportunity for small law firms?
It is more opportunity than threat, if you act deliberately. The functions Baker McKenzie is cutting are ones that small firm attorneys already handle without dedicated staff — meaning you've been running lean in these areas for years. AI now gives you the same leverage that BigLaw's support teams provided, at a fraction of the cost. The risk is if you do nothing: clients who expect faster research turnaround, more organized matter management, and proactive communication will notice the gap when competitor firms start delivering it.