BigLaw Just Deployed AI Agents That Execute Complex Legal Work on Their Own — Here's What's Coming for Small Firms

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

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In March 2026, A&O Shearman — one of the largest law firms in the world — announced the deployment of Harvey AI agents for antitrust filing analysis, cybersecurity legal review, fund formation, and loan review.

This is not "AI helps a lawyer draft faster." This is AI that receives a matter, executes a sequence of legal reasoning steps, and produces structured outputs — with attorneys reviewing results rather than performing each step.

It's a meaningful line crossed. And while it has nothing to do with your firm today, it tells you exactly what is coming for your firm — and when.

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What "Agentic Legal AI" Actually Means

Most small firm owners have seen AI as a drafting assistant. You describe what you need, the AI generates a first draft, you edit it.

Agentic AI is different. An agentic system:

• Receives a task (e.g., "analyze this credit agreement for default risk provisions")
• Breaks it into steps autonomously
• Executes each step — document retrieval, clause comparison, flagging exceptions, structuring outputs
• Delivers a finished work product for attorney review

The human is in the loop at the review stage, not at every individual task step.

A&O Shearman is using Harvey this way for antitrust filing analysis (multi-document regulatory review), fund formation documents, and complex loan reviews. These are not simple question-and-answer interactions. They're multi-hour tasks being compressed into structured AI execution pipelines.

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Why This Matters for Small Firms — Even Though It Isn't Meant for You

Harvey is not priced for a 7-attorney general practice firm. It runs on seat minimums and contract structures that work for Am Law 100 firms, not solo practitioners or small practices.

But enterprise legal AI has a consistent track record of cascading to small-firm pricing within 18-24 months of major deployment.

Consider what's already happened:

• Thomson Reuters CoCounsel launched at enterprise pricing in 2023. By 2025, small-firm tiers were available starting around $100/month for limited access.
• Document AI tools that cost $500+/month in 2022 are now available for under $50/month through platforms like Clio and Docketbird.
• Legal research AI was BigLaw-only in 2021. Today, a solo practitioner pays less than $200/month for Fastcase or Casetext-integrated research AI.

The A&O Shearman + Harvey announcement in March 2026 is the leading edge of the agentic legal AI wave. The trailing edge — accessible to your 5-15 attorney firm — arrives in 12-18 months.

The question for small firm owners is not "will this affect me?" It's "will I be ready when it arrives?"

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Which Practice Areas Are on Deck for Small Firms

The A&O Shearman deployment targets complex enterprise work: antitrust, M&A support, fund formation, commercial lending. These won't be the first categories to reach small-firm pricing.

The agentic workflows most likely to arrive at small-firm scale first:

Document review and contract analysis — Purpose-built tools (CoCounsel, August, Spellbook) are already building multi-document comparison capabilities. Agentic execution of due diligence review is the natural next step. Expected timeline: late 2026 to 2027.

Research memo and case summary generation — Multi-step research (identify relevant statutes, pull case law, draft analysis memo) is already partially agentic in CoCounsel's research suite. Full autonomous execution is 12-18 months out at small-firm pricing.

Intake and matter setup automation — Agentic tools that handle new matter intake, conflict check triggers, and initial document drafting (engagement letters, initial pleadings) are in development at Clio and similar platforms. Expect phased capability in 2026-2027.

Estate planning and real estate document assembly — High-volume, pattern-intensive practice areas. Several legal document platforms are already building semi-agentic assembly tools. First arrivals: 2026.

What stays human-only longer: jurisdiction-specific litigation strategy, client counseling and relationship management, complex regulatory interpretation in novel matters, adversarial negotiation.

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Three Things to Do Now

1. Get comfortable with structured AI workflows, not just single-prompt interactions.

Most small firm attorneys use AI the way they use a search engine — one question, one answer. Agentic AI requires a different skill: defining the task with enough structure that the AI can sequence its own work.

Start practicing this now. Instead of "draft a motion for summary judgment," try: "Review the attached deposition transcript and complaint. Identify the five strongest undisputed material facts for a summary judgment motion. For each fact, cite the specific transcript page and line. Then draft the argument section of the motion based on those facts."

You're still doing each step with the AI — but you're building the task-decomposition muscle you'll need when the AI does those steps autonomously.

2. Evaluate which workflows you want AI to touch before it can do them autonomously.

When agentic legal AI arrives at $150/month, you'll have a choice: configure it for your workflows — or let it run on defaults.

Firms that have already identified their highest-volume, most time-consuming workflows (contract review, research memo, matter intake) will configure agentic tools to match their practice standards. Firms that haven't thought about it will take whatever the tool ships with — which may not fit your practice area, your jurisdiction, or your client relationships.

This quarter: identify the two or three workflow categories where you spend the most non-billable attorney time. Those are your agentic AI candidates.

3. Watch Harvey's pricing announcements for SMB tiers.

Harvey has not announced small-firm pricing. When they do, it's the signal that the wave has arrived. Set a calendar reminder to check Harvey's pricing page quarterly. Similarly, watch CoCounsel's product roadmap for agentic workflow announcements — Thomson Reuters is building in this direction, and CoCounsel's existing small-firm tier ($100/month range) is the most likely first vehicle for agentic legal AI at accessible pricing.

You don't need to buy Harvey today. You need to know when to buy it.

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The Honest Reframe

The A&O Shearman news is not a reason to panic. A 5-attorney general practice firm in Columbus, Ohio is not competing with A&O Shearman for clients. The firm's work is fundamentally different.

But the same technology will reach your firm. When agentic AI can execute a contract review, prepare a research memo, or handle an estate plan document package autonomously — and do it at $150/month — every attorney's time allocation shifts. The question is whether you've decided in advance what you'll do with the time that frees up, and what parts of your practice you'll invest in deepening.

The firms that thrive won't be the ones who waited for the wave to arrive. They'll be the ones who built AI habits before the automation was automatic.

The A&O Shearman announcement is the timer starting.

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