How CoCounsel Audit Scales CPA Firms: Real‑World Efficiency Benchmarks and Results

The Problem These Firms Were Solving

Each firm arrived at CoCounsel Audit from a different direction, but the underlying tension was consistent: too much document-intensive, time-consuming work competing with too few hours and too few people.

Board minute reviews, grant compliance testing, technical research, and sample selection are all essential audit procedures. They are also among the most labor-heavy tasks in any engagement. When these procedures consume senior auditor time, advisory capacity shrinks — and with it, the margin that sustains a healthy practice.

The question these firms asked was precise: can AI handle the document-heavy work reliably enough to free experienced professionals for higher-value judgment calls?

Case Study 1: Plante Moran — Efficiency at Enterprise Scale

The Context

Plante Moran is one of the largest audit and accounting firms in the United States. Its challenge was not survival but positioning — staying at the forefront of AI adoption in audit practice while ensuring that innovation translated into measurable productivity gains across a large, diverse staff.

The Pilot

The firm launched a structured pilot program involving more than 140 auditors across all experience levels. The objectives were clear: streamline technical research, ensure audit quality, and evaluate whether AI could integrate naturally into existing workflows.

The results were unambiguous. Among pilot participants, 91% reported that CoCounsel Audit was faster than traditional research methods. Equally significant, 77% felt more confident using generative AI tools after the pilot, and 87% believed the firm should make the platform available to all staff.

What Drove Adoption

Several factors accelerated uptake across the team. CoCounsel Audit’s citation-backed responses gave auditors a defensible starting point for complex technical research rather than a black-box answer. Internal documents and firm templates integrated directly into the platform, meaning staff could work within familiar audit processes rather than adapting to an entirely new environment.

The platform also addressed a specific pain point: novel or complex questions that previously stalled progress. Auditors described CoCounsel as giving them a confident starting point — a meaningful distinction in a profession where uncertainty about a technical position can delay an entire engagement.

The Strategic Outcome

Following the pilot, Plante Moran scaled its user base by 450%. Beyond productivity, the firm recognized a secondary benefit: equipping every staff member with advanced AI tooling has strengthened its reputation as a desirable employer in a competitive talent market.

"The workflow function, ability to upload documents, prompt against them, etc., is fantastic and can add a tremendous amount of efficiency in areas across the entire firm."

Case Study 2: Harris, Hardy & Johnstone — Converting Efficiency Into Advisory Revenue

The Context

Harris, Hardy & Johnstone is a mid-sized CPA firm serving a broad commercial client base. The firm had built strong audit relationships but faced a familiar bottleneck: senior auditors were too consumed by document review to consistently cross-sell higher-margin advisory services. The constraint was not expertise — it was time.

The Workflow Transformation

By deploying CoCounsel Audit’s document analysis capabilities, the firm restructured how audit procedures were executed. The efficiency differential was stark:

• Board minute and contract reviews: reduced from approximately one hour to five minutes
• Research validations: completed in one minute versus fifteen to thirty minutes previously
• Technical guidance: delivered in minutes with full source citations, compared to thirty to forty-five minutes of manual research

These are not marginal improvements. They represent a fundamental reallocation of senior auditor capacity.

The Advisory Dividend

With document-intensive procedures handled by AI, senior auditors redirected their time toward risk assessment, trend analysis, and strategic conversations with CFOs. The firm did not simply become more efficient — it became more valuable to clients.

The most telling proof point: the firm won a new client within six weeks of adopting CoCounsel Audit. By using the platform to analyze a prospect’s financials and surface mispostings, the team demonstrated immediate advisory value before the engagement formally began. That kind of precision, delivered quickly, is difficult to replicate through traditional methods.

Quality as a Byproduct

An unexpected finding from this implementation was that audit quality improved alongside speed. CoCounsel Audit’s Fiduciary-Grade AI provides consistent, thorough document analysis with complete source citations, creating audit trails that meet PCAOB and AICPA standards. Consistency at scale — across 4,500 clients — is precisely what the platform delivered.

"Before CoCounsel, I found it hard to keep up with answering all those questions in a way that I felt was comprehensive."
— George G. Crowell, Principal, Harris, Hardy & Johnstone

Case Study 3: Sam Brown CPA, Wells CPA, and The Forde Firm — Modernizing Nonprofit Audit Practice

The Context

Nonprofit auditing operates under a distinct set of pressures: specialized compliance requirements, tight client budgets, complex grant structures, and donor restriction tracking. Three nonprofit-focused CPA firms — Sam Brown CPA, Wells CPA, and The Forde Firm — recognized that their clients needed a more modern audit approach, and that their own practice economics required it.

These firms implemented both Thomson Reuters Audit Intelligence Analyze and CoCounsel Audit in combination, targeting the specific document-heavy procedures that define nonprofit engagements.

The Efficiency Benchmarks

The results across these three firms were consistent and measurable:

• Sample selection: reduced from three hours to five minutes
• Document review: cut from one hour to a few minutes, with defensible, citation-backed analysis
• Documentation generation: outputs that previously required a full day and extensive review comments now generate automatically
• Staff efficiency: one firm maintained identical revenue with two fewer staff members — a direct demonstration of technology-driven margin protection

How the AI Handles Nonprofit Complexity

Grant compliance testing requires identifying specific restrictions, reporting obligations, and deadline requirements buried within lengthy agreement documents. CoCounsel Audit processes these documents with precision, surfacing exactly the information auditors need to design appropriate procedures. The platform does not summarize loosely — it identifies and cites the relevant terms, giving auditors a defensible basis for their conclusions.

This matters in nonprofit auditing because the consequences of missed compliance terms extend beyond the firm. Clients face funding risks, regulatory scrutiny, and reputational exposure. Thoroughness is not optional.

The Practice Economics Argument

The most compelling data point from this group is the revenue-neutral staff reduction. Maintaining output with a smaller team is not a minor operational adjustment — it is a structural shift in how the practice generates margin. For specialized audit firms operating in cost-sensitive markets, this is the difference between sustainable practice economics and chronic pressure.

"We are down two people from this time last year, yet our output as far as revenue is the same, showing technology-driven margin protection without backfilling departures."
— Donald Wells, Wells CPA, LLC

What the Data Reveals Across All Three Implementations

These firms differ in size, market focus, and strategic objective. Yet the patterns in their CoCounsel Audit implementations converge around three consistent principles.

Start With Document-Intensive Procedures

The highest-return applications involve unstructured documents: board minutes, contracts, grant agreements, bank statements. These procedures are time-consuming, detail-oriented, and directly amenable to AI analysis. Firms that began here achieved immediate, measurable ROI before expanding to other use cases.

Measure Redirection, Not Just Speed

Raw time savings are meaningful, but the strategic value lies in what happens to the time recovered. Across all three cases, senior auditors redirected capacity toward risk assessment, advisory conversations, and client relationship development — work that generates higher margins and deepens client retention. The efficiency gain is the mechanism; the advisory expansion is the outcome.

Maintain the Audit Trail

All three firms emphasized that professional standards were non-negotiable. CoCounsel Audit’s Fiduciary-Grade AI provides complete source citations with every response, supporting PCAOB and AICPA compliance requirements. Firms did not adopt AI by relaxing documentation standards — they adopted AI that met those standards by design.

The Competitive Implication

The technology has moved past the experimentation phase. Firms like Plante Moran, Harris, Hardy & Johnstone, and the three nonprofit specialists are not running pilots to evaluate feasibility — they are scaling deployments because the results justify it.

For CPA firms still weighing adoption, the relevant question is no longer whether AI can perform audit procedures reliably. The evidence on that point is settled. The relevant question is how long a firm can remain competitive while its peers are completing in five minutes what takes an hour to do manually.

Purpose-built AI for audit — built on professional-grade standards, integrated into existing workflows, and validated against PCAOB and AICPA requirements — is no longer a future-state consideration. It is a present-tense competitive variable.

The firms profiled here made that determination early. Their benchmarks are now the baseline against which others will be measured.