The Tool Desk
Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →For law firms, the rise of legal tech is less about chasing a startup trend than choosing which workflows to change—and doing so without compromising accuracy, confidentiality, client service or lawyer oversight. Adoption is growing, but personal experimentation, firm-authorized use and measurable business value are different things.
What is legal tech, and what is changing?
Legal technology includes more than generative AI. It spans legal research, practice- and document-management systems, cloud services, litigation technology and electronic court filing. New AI-enabled tools are bringing more attention to the category, but the available survey evidence does not provide a complete count of legal tech startups, their funding or the market as a whole. It is strongest on law-firm technology adoption and AI.
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For firms, the relevant question is not simply whether a tool uses AI. It is whether it improves a particular task in the firm’s real matter and document workflows, and whether the improvement is worth the cost and risk of adopting it.
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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsHow are law firms using AI, and how widespread is adoption?
Survey results show interest and use, but they do not all measure the same thing. Personal work use is not the same as firm-wide deployment, and the studies differ in their respondents, dates and questions.
#1 Best Overall
| Survey finding | What it measures |
|---|---|
| In the American Bar Association’s 2025 Legal Industry Report article, 31% of respondents reported personal generative AI use for work and 21% reported law-firm use for 2024. The corresponding reported figures for 2023 were 27% and 24%. | The report article says personal use was increasing while firm adoption varied by firm size and practice area. It also notes that uncertain responses differed between years, so the percentages should not be read as a clean like-for-like trend. The ABA reported more than 2,800 legal-professional respondents for its 2025 report. |
| In an ABA 2024 survey summarized in its 2024 AI TechReport article, 30.2% of 512 online-research respondents said their offices were using AI-based technology. | Within that survey, the reported figure was 47.8% for firms with 500 or more lawyers and 17.7% for solo practitioners. These are responses from that survey, not a universal adoption rate. |
| In Thomson Reuters’ 2026 Legal Future of Professionals report, 34% of law-firm professional respondents said they were using AI tools their firm had not authorized. | The legal survey included 736 law-firm professional responses across 46 countries, including 421 from the United States; data was collected in March and April 2026. The finding signals a gap between staff behavior and firm policy, not that every instance caused harm. |
These results point to a practical distinction: staff may be experimenting before a firm has chosen, approved and integrated a tool. A policy that addresses only formal procurement can miss use that is already happening.
What work can AI support?
Legal AI tools may support research, drafting, contract analysis, document review and administrative workflows. Those are possible use cases, not a guarantee that a particular product performs them accurately or is suitable for a particular matter. Survey reports about use, expectations or respondent experience are not independent product tests.
What do survey-mentioned platforms tell firms?
In the ABA’s 2024 AI survey article, respondents named ChatGPT (52.1%), Thomson Reuters CoCounsel (26.0%) and Lexis+ AI (24.3%) among AI-based legal research platforms they had adopted or were seriously considering. These are the top three named platforms in that survey context; they are not market-share figures, a complete vendor list or evidence of comparative quality. Treat such examples as a prompt to define your own requirements, not as a shortlist for every firm.
Rank #2
What should law firms look for in legal technology?
Start with a workflow and the people who perform it, not a vendor demonstration. The ABA’s 2025 industry-report article says firms prioritize tools that integrate with existing systems and legal workflows and align with ethical requirements. The ABA’s 2024 AI TechReport article found respondents particularly concerned about accuracy, reliability, data privacy and security, along with implementation cost and time to learn.
| Evaluation area | Questions for the firm |
|---|---|
| Workflow fit | Which specific task should change? Who does it now, what systems and documents does it touch, and where does a lawyer need to make or approve a decision? |
| Accuracy and reliability | Can users inspect the sources or outputs? What kinds of errors matter for this task? What review must a qualified lawyer perform before work is relied on or delivered? |
| Confidentiality, privacy and security | What information will users submit? How is it retained or used? What contractual terms and controls apply, and how will the firm restrict and monitor access? |
| Integration and usability | Does the tool work with the firm’s existing systems and matter workflows? Can users be trained to use it consistently without creating duplicate or unmanaged processes? |
| Cost and measurable value | What are the implementation and training burdens, not just the apparent tool cost? Against what baseline will the firm compare time, quality, cost or client value? |
| Client and business-model effects | How will the firm explain the work and its value to clients? How might fees change, and how will supervision and lawyer development be maintained? |
The ABA’s 2024 AI survey article reported that 74.7% of respondents identified accuracy as a leading concern, 56.3% reliability and 47.2% data privacy and security. In the same survey article, 22.1% cited implementation cost and 21.3% time to learn tools. Those figures describe respondent concerns; they do not certify or assess any vendor’s controls.
How should a firm run a legal software pilot?
A bounded pilot makes it possible to separate a vendor’s claims from results observed in the firm. Keep the scope small enough to supervise, but representative enough to test the real workflow.
Rank #3
- Choose one workflow. Define the task, the people involved, the matter types in scope and the part of the process the tool is intended to change.
- Set rules before use. Name an accountable owner, specify approved data and permitted tasks, and establish who reviews outputs and when.
- Record a baseline. Measure the current process on outcomes that matter, such as turnaround time, quality, cost or client value. Do not assume speed alone is success.
- Train the participants. Make sure users understand the tool’s approved use, its limits and the required review steps.
- Compare results and decide. Evaluate observed outcomes against the baseline, account for implementation and training effort, and make a documented go/no-go decision.
The cited reports do not provide independent comparative tests of specific tools, so a firm needs its own evidence before adopting a product for consequential work.
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What are the risks of AI tools for lawyers?
The main risks are not limited to errors in generated text. A tool can create exposure if users submit information without appropriate controls, rely on unverified outputs, or use software outside the firm’s approved process. Poor integration and inadequate training can also make work harder to supervise rather than easier.
In its 2024 AI TechReport article, the ABA reported that 74.7% of survey respondents cited accuracy, 56.3% reliability and 47.2% data privacy and security as leading concerns. Those concerns call for controls and review, but they are not evidence that every tool fails or that every firm has experienced an incident.
Rank #4
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Thomson Reuters’ 2026 legal report identifies unauthorized AI use as present in firms and warns that adoption outpacing governance can create operational, compliance and client risks. A workable policy should identify permitted tools, tasks and data; assign responsibility for review; train staff; and periodically check what tools people are actually using. The survey finding does not establish that unauthorized use caused a specific incident.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How do governance and change management affect adoption?
Formal approval is only one part of adoption. In the Thomson Reuters Institute’s 2026 Stand-out Lawyers report, based on 116 interviews with law-firm leaders and managing partners and 2,527 interviews with stand-out lawyers, the analysis describes a gap between having an AI strategy and translating it into partner-level practice and client value. The report recommends giving partners information for client conversations, practical examples, approved language about risks and limitations, and billing guidance.
That connection matters because a technology decision changes more than an IT process. Lawyers need to know which work they remain responsible for, how to discuss the tool’s role with clients and how the firm will develop professional judgment while work patterns change.
Best Value
How might legal technology affect clients, pricing and firm economics?
Client expectations and pricing are part of the adoption decision. In Thomson Reuters’ 2026 Legal Future of Professionals report, 22% of in-house legal professionals said they would reconsider firm relationships within 12 months if they did not see AI-enabled value, in addition to 11% who were already doing so. The same report says 71% of in-house legal respondents expected professional firms to change their commercial model as AI use increases, while 62% of law-firm professionals said their firms’ pricing structures were unchanged in response to AI.
The findings show a pressure to explain value alongside a reported gap in pricing change; they do not prescribe a fee model. Firms should decide how to account for changed effort and outcomes, explain the basis of fees clearly, and avoid assuming that faster work automatically translates into either lower costs or greater client value.
The 2026 Thomson Reuters Report on the State of the US Legal Market reports that firms with a visible AI strategy were 3.9 times as likely to see at least one form of return on investment as firms without significant AI adoption plans. The report attributes the underlying finding to Thomson Reuters’ 2025 Future of Professionals report. This is a reported association, not proof that strategy alone causes ROI; a firm still needs to measure its own outcomes.
How does legal tech fit into a firm’s wider technology stack?
AI does not replace the need to consider everyday legal systems and infrastructure. The ABA’s March 2025 technology-adoption release, summarizing its 2024 survey, reported that 73% of firms used cloud-based legal tools and 85% of litigators used electronic court filings. Those are survey figures reported in a 2025 release about a 2024 survey, not current performance measures for any vendor. They illustrate why integration, data handling and consistent workflows matter alongside new AI capabilities.
Thomson Reuters’ 2026 AI in Professional Services Report surveyed 1,514 respondents in 27 countries in October and November 2025 across legal, tax, audit and accounting, corporate risk and fraud, and government professions. Because that sample spans multiple fields, it should not be treated as a law-firm-only measure.
What should a law firm do next?
Make the decision in sequence: identify a real workflow problem, check whether an existing system or process already addresses it, and evaluate any proposed tool against accuracy, security, integration, cost and client needs. Pilot a narrow use case with defined review and outcome measures, then expand only if the evidence supports it. The relevant rise is not a race to acquire software; it is a shift in how firms manage technology, professional judgment and client value.
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