Thomson Reuters Future of Professionals Report 2026: What the Data Means for 5-50 Person Firms

Thomson Reuters Future of Professionals Report 2026: What the Data Means for 5-50 Person Firms

Every year, Thomson Reuters publishes the most rigorous AI adoption benchmark available for legal, tax, and accounting professionals. The 2026 edition — presented at the Thomson Reuters Future of AI Technology Forum in Chicago on September 17 — is the report your enterprise-sized competitors are reading. It will inform hiring decisions, pricing strategy, and technology investment across big firms for the next twelve months.

Your job is to read it before they do. Or, more realistically, let someone else do that and tell you what matters for a firm your size.

Here is what the Thomson Reuters Future of Professionals Report 2026 found — and what it means if you run a 5-50 person accounting, law, or consulting firm.

The five numbers that matter most:

• 40% of professional services firms have formalized GenAI adoption at the organizational level — double the 22% from 2025 (Thomson Reuters, 2026)
• 15% have reached full agentic AI deployment — where AI handles multi-step tasks without constant human direction (Thomson Reuters, 2026)
• 53% of professionals are actively planning agentic AI adoption within 12 months — 77% expect it central to their workflows by 2030 (Thomson Reuters, 2026)
• 44% of professionals now use AI tools multiple times every day (Thomson Reuters, 2026)
• Only 18% of professional services firms currently measure their AI ROI (Thomson Reuters, 2026)

That last number is the one to carry. Four in five firms are spending on AI without any feedback loop on whether it is working. At a small firm with a tighter margin than BigLaw, that is a different kind of risk.

---

What the TR 2026 Report Found (The Numbers That Matter)

The Thomson Reuters Future of Professionals Report draws on data across legal, tax, accounting, and compliance professions. It is the annual benchmark that the largest firms in each sector use to calibrate where they stand and where they are investing.

The headline finding from the 2026 edition: formal AI adoption at the organizational level doubled year-over-year. But the doubling is from 22% to 40% — which means 60% of firms still have no org-level GenAI policy in place. For a 5-50 person firm, that context matters. You are not behind the median. You are at it, or just behind it.

The agentic AI figure is different. Thomson Reuters found only 15% of firms have reached full agentic deployment — AI systems that execute multi-step tasks end-to-end with human review at the output rather than at each step. That gap between 40% formal adoption and 15% agentic deployment represents exactly where most firms are today: using ChatGPT or a purpose-built tool for individual tasks, but without a systematized workflow that runs autonomously.

The productivity finding that gets overlooked: Thomson Reuters found that 44% of professionals now use AI multiple times daily. That is a majority of individual practitioners making AI a daily habit — while only 15% of firms have built it into formal workflow systems. That gap is where most small firms are operating in 2026: employees using AI on their own, without firm-level policy, tooling, or measurement. It works until it doesn't, and then no one has the data to know why.

One more number to flag from the TR 2026 data: Only 18% of professional services firms measure their AI ROI. That means 82% of firms — including most of your competitors — are making AI investment decisions on gut feeling and vendor claims. The firms in the 18% are making compounding decisions. The others are not.

---

Agentic AI Adoption: What "15%" Actually Looks Like at Small Firms

When Thomson Reuters reports that 15% of firms are at full agentic deployment, the mental image most firm owners have is wrong. They picture large law firms with dedicated innovation teams and six-figure software contracts.

Some of that is true. But 15% agentic deployment also includes 12-person accounting firms that built a month-end close automation using Karbon workflows, or a 20-person consulting firm that uses a connected AI stack to process intake, generate first-draft deliverables, and push client updates — with a human reviewing the outputs rather than building each output from scratch.

What agentic AI looks like in practice at a small firm:

• A law firm intake process where a client fills out a form, AI drafts the engagement letter, flags relevant conflict checks, and schedules the intake call — with the attorney reviewing the output before it sends
• An accounting firm where client-uploaded documents trigger an AI workflow that categorizes transactions, flags exceptions, and generates a first-draft management report — with the accountant reviewing rather than building
• A staffing firm where job descriptions, candidate summaries, and outreach sequences are generated from a structured brief — with a recruiter approving before submission

None of those require enterprise infrastructure. All of them require documented workflows, defined review criteria, and a willingness to build one before adding a second.

The planning adoption figures: Thomson Reuters found that 53% of professionals are actively planning agentic AI within the next 12 months, with 77% expecting it to be central to their workflows by 2030. If a fraction of that 53% converts, the move from 15% agentic deployment to 40%+ happens before the end of 2027. Firms currently at zero agentic deployment have a narrowing window before "we're exploring AI" stops being a defensible answer with clients who are already experiencing AI-accelerated service from larger competitors.

---

Hourly Billing Under Pressure: The TR Data on Fee Model Shifts

The billing model data in the TR 2026 report reinforces a trend that a separate source has been tracking in sharper relief: Deloitte's 2026 survey of 121 General Counsels found that hourly billing is expected to fall from 72% to 44% of legal work within 2-3 years.

That projection comes from the buyers — GCs who are already watching AI compress the time required for legal research, contract drafting, and document review. They are not predicting what they hope will happen. They are projecting what they expect to demand as they see AI reshape their outside counsel's cost structure.

For a 5-50 person law firm, this is the most operationally urgent data point in the 2026 report cycle. If hourly billing falls from 72% to 44% of the work you do, that is not a gradual trend you can manage around. It is a structural change to your revenue model that arrives in the same 2-3 year window you need to be building AI workflow competency.

The services most exposed to this shift:

• Routine legal research (the work a second-year associate does that AI now drafts in minutes)
• Standard contract drafting (where clients increasingly ask why they are paying hourly for a document that takes AI under five minutes to generate)
• Boilerplate compliance work with clearly defined rules and outputs

The services least exposed:

• Relationship-dependent work where your local presence, long-term client knowledge, or referral network is the competitive advantage
• Judgment-intensive work where the variance in outcomes is high and the cost of error is significant
• Niche expertise where the client base is narrow enough that AI tools are not yet trained on sufficient relevant data

The firms that will survive this shift are not the ones who resist pricing model change. They are the ones who identify which service lines are at risk and start building the AI workflows that let them maintain margin while prices compress.

---

The Productivity Gap: Large Firms vs. Small Firms in 2026

LexisNexis found that 15% of large law firm attorneys can no longer do their job at full capacity without AI. That is not casual use. That is dependency — the same kind of dependency a lawyer once had on legal research databases. It represents a floor that will only rise.

When Thomson Reuters reports that 44% of all professionals use AI daily, and LexisNexis reports that 15% of large firm lawyers are now fully dependent on it, the picture for small firms is this: large firms are compressing the time required for high-volume knowledge work while keeping billing rates stable or increasing them. The productivity gain is going to margin, not to client discounts.

For a small firm, the competitive math is uncomfortable. If a large firm is completing legal research in 20% of the time it took 18 months ago, and a small firm has not materially changed its workflows, the small firm is not competing on price or speed. It is competing on relationship, quality, or niche — and hoping those moats hold.

That hope may be reasonable in 2026. It is less reasonable in 2028.

One clarification on the data: The LexisNexis "dependent" finding applies primarily to large firm practitioners who work at high volume on research and drafting tasks. For a 10-person firm owner doing complex client work with long-term relationships, the dependency curve arrives later and differently. But it does arrive.

---

Three Moves Based on What TR Found

The Thomson Reuters Future of Professionals Report 2026 is a data source, not a decision framework. Here is the translation into three concrete moves for a 5-50 person firm.

Move 1: Audit your AI exposure by service line. Take the services you currently bill for and categorize them by whether AI is accelerating that work at large firms. Routine research, drafting, and processing: exposed. Judgment, relationship, and niche expertise: protected. The goal is not to panic about the exposed services — it is to know which ones need a workflow strategy before clients start asking questions you are not ready to answer.

Move 2: Measure one AI workflow for 30 days. Thomson Reuters found only 18% of firms measure AI ROI. Joining that 18% is straightforward: pick one workflow you have already AI-assisted, establish a baseline (time, error rate, or output volume), run it for 30 days, and measure the change. You will immediately have better data than 82% of your competitors, and you will have the foundation for making the second AI decision better than the first.

Move 3: Calculate your 12-month window. If 77% of professional services firms plan to make agentic AI central to their workflows within 12 months, and you are currently at zero agentic deployment, you are roughly 12-18 months behind the median firm in your sector. That gap is closeable. But it requires starting with the first documented workflow now — not when AI gets better, not when you have more time, and not when the stakes feel higher.

The Thomson Reuters data does not predict that small firms will fail. It describes a window that is closing and a set of decisions that only get harder to make under pressure.

---

Frequently Asked Questions

What did the Thomson Reuters Future of Professionals Report 2026 find about AI adoption?

The Thomson Reuters Future of Professionals Report 2026 found that GenAI adoption among professional services firms doubled to 40% year-over-year, but only 15% have reached full agentic AI deployment — where AI handles multi-step tasks autonomously. Thomson Reuters also found that 44% of professionals now use AI tools multiple times daily, 53% are actively planning agentic AI adoption within 12 months, and 77% expect agentic AI to be central to their workflows by 2030. The data covers legal, tax, accounting, and compliance professions.

What percentage of professional services firms use agentic AI in 2026?

According to Thomson Reuters, only 15% of professional services firms have reached full agentic AI deployment as of the 2026 report. Another 53% are actively planning agentic AI within 12 months, and 77% expect it to be central to their workflows by 2030. The gap between the 15% who have deployed and the 53% planning within a year suggests that most firms are at the intention stage rather than the execution stage.

How does AI adoption differ between large and small professional services firms in 2026?

Large firms have significantly higher agentic AI adoption rates and are moving faster. LexisNexis found that 15% of large law firm attorneys can no longer do their work at full capacity without AI — a metric that signals deep dependency. At small firms, the Thomson Reuters pattern is different: tools are often adopted individually, without firm-wide policy or ROI measurement. Only 18% of professional services firms across the board measure AI ROI, meaning most small firms are flying without data on whether their AI spend is paying off.

What is the Thomson Reuters Future of AI Technology Forum?

The Thomson Reuters Future of AI Technology Forum is an annual event convening legal, accounting, and professional services leaders. The 2026 forum took place September 17 in Chicago. The opening session presented the Future of Professionals Report 2026 — TR's annual benchmark on AI adoption, productivity, and workflow transformation across legal, tax, and accounting professions. Gia Norris (VP Product, CoCounsel) was among the confirmed speakers.

Where can I read the Thomson Reuters 2026 AI professional services benchmark?

The full Thomson Reuters Future of Professionals Report 2026 is available directly from Thomson Reuters. For a translation of the key findings into practical implications for 5-50 person firms — the context TR's enterprise-focused report does not provide — this post synthesizes the data with specific guidance on what the numbers mean for smaller accounting, law, and consulting firms.

What should small professional services firms do based on the TR 2026 data?

The Thomson Reuters 2026 data points to three priorities for small firms: (1) Formalize what you already use — only 40% of firms have org-level AI adoption, and the first step is reaching that tier before chasing agentic deployment. (2) Measure one workflow — only 18% of firms measure AI ROI; track one workflow for 30 days and you are immediately ahead of 82% of peers. (3) Identify hourly-billed services most at risk from AI compression, using the Deloitte projection that hourly billing will fall from 72% to 44% of legal work within 2-3 years.

---

The Crossing Co tracks AI adoption data across professional services sectors weekly. For a full assessment of where your firm stands on the AI adoption curve — and a prioritized list of next steps — see the AI Readiness Checklist.

For a deeper look at what the agentic AI shift means for professional services firms, read The Year of Agents: What Agentic AI Actually Means for Professional Services Firms in 2026.