The New Business of Legal Technology
For decades, legal technology was largely a support business. Software helped lawyers search documents, manage cases, store files and handle billing, but the central economic model of legal services remained largely intact: lawyers sold expertise and time.
Artificial intelligence is beginning to challenge that arrangement.
Law firms and corporate legal departments are increasingly using generative AI for research, drafting, document analysis and other tasks. Thomson Reuters reported that in 2026, 41% of law firms and 47% of corporate legal departments surveyed were using generative AI, up from 28% and 23%, respectively, a year earlier.
The commercial opportunity is consequently expanding beyond traditional legal software. Technology companies are competing to become the infrastructure through which legal work is performed, creating a new market at the intersection of professional services, enterprise software and artificial intelligence.
From software tool to legal infrastructure
The earlier generation of legal technology largely digitized existing processes. Document-management systems replaced filing cabinets; electronic discovery reduced the need to manually review enormous document collections; online legal databases made research faster.
AI changes the proposition because it can perform portions of the intellectual work itself.
A system can review a contract, identify potentially problematic clauses, summarize a case file or generate a first draft. More advanced systems are beginning to coordinate several steps in a workflow rather than simply respond to individual prompts.
Google's launch of Gemini Enterprise for Legal in August 2026 illustrates the shift. The company positioned the product as a legal-focused enterprise platform capable of connecting AI agents with legal software and data systems. Major law firms including Weil Gotshal, Cleary Gottlieb, Freshfields and Williams & Connolly participated in developing or testing the offering.
The significance is less about one product than about the direction of competition. Large technology companies increasingly see legal work as a specialized enterprise market in which general-purpose AI can be combined with proprietary information, workflow software and security controls.
Why legal work is attractive to AI companies
Law is particularly suitable for software because much legal work involves structured information.
Contracts have recurring clauses. Litigation produces large document collections. Regulations contain extensive text. Legal research depends on searchable authorities. Corporate transactions require repetitive review and comparison.
That does not make legal judgment easy to automate. Lawyers still have to interpret ambiguous facts, advise clients, negotiate and accept professional responsibility for their work.
But the surrounding administrative and analytical workload creates a large pool of tasks where software can potentially improve productivity.
That productivity creates the central economic question for the industry: who captures the value of the time saved?
If an AI system allows a lawyer to complete in two hours what previously required five, a firm could theoretically reduce the client's bill, increase the amount of work handled by the same team, or preserve the existing price while improving its margins.
Those choices could eventually influence how legal services are priced.
The billing model comes under pressure
Traditional law-firm economics have relied heavily on hourly billing. Technology creates pressure on that model because faster work can reduce the number of billable hours required.
Clients have an incentive to demand some of the productivity gains through lower fees. Law firms, meanwhile, have an incentive to retain part of the benefit through higher margins or by taking on more complex matters.
Thomson Reuters' 2026 research found that 71% of in-house legal professionals surveyed expected law firms to change how they charge as AI becomes more important. The same report found that 32% of in-house legal professionals were already reconsidering relationships with firms that did not demonstrate clear AI-enabled value within a year.
That could push the industry toward greater use of fixed fees, subscriptions, outcome-based pricing or hybrid arrangements.
The transition will not necessarily happen quickly. Clients still pay for judgment, reputation and risk management rather than simply document production. But the economic relationship between time and value is becoming less straightforward.
A new class of legal-tech companies
The change is creating opportunities for specialized companies built around legal workflows rather than general-purpose productivity.
Legora is one example of the emerging model. The company develops AI tools for tasks such as document analysis and drafting, using underlying foundation models while adding legal-specific interfaces and data. The Financial Times reported that the company had reached a valuation of up to $10 billion, illustrating the level of investor interest surrounding specialized AI businesses.
Established legal-information companies are responding as well.
Thomson Reuters has expanded CoCounsel, its legal AI platform, while also developing proprietary models and integrating AI into its broader research and workflow products. The strategy reflects an important competitive advantage held by established legal-information providers: access to authoritative, specialized content.
The battle may therefore not be won simply by whoever has the strongest general AI model. It could depend on who combines models with trusted legal data, workflow integration, security and professional accountability.
The smaller-firm question
Technology could also alter competition between large and small firms.
Large firms have greater resources to purchase enterprise software, develop internal AI policies and negotiate technology contracts. Smaller firms have fewer resources but may benefit disproportionately from tools that allow a small team to handle work previously requiring more staff.
Clio's 2026 research found that 71% of solo practitioners and 75% of small firms surveyed were using AI for legal work. Yet fewer than one-third of those firms reported increased revenue from AI, compared with nearly 60% of enterprise firms.
That distinction is important. Adoption does not automatically create economic value.
A firm can save time without attracting more clients, raise productivity without increasing revenue, or generate faster work while absorbing additional technology costs.
The winners may therefore be firms that redesign their workflows around AI rather than simply adding an AI assistant to existing processes.
Trust remains part of the product
Legal technology also carries an unusual liability problem.
Lawyers cannot simply outsource professional responsibility to software. A California appellate court recently sanctioned an attorney after an AI-assisted filing contained fabricated legal citations, reinforcing that lawyers remain responsible for verifying authorities used in their work.
That makes accuracy, traceability, confidentiality and human oversight commercial features rather than technical afterthoughts.
It also creates an opening for specialized systems trained or grounded in authoritative legal material rather than relying exclusively on open-ended internet information.
For clients, the question is increasingly not whether a law firm uses AI, but whether it can explain how the technology is controlled.
The next phase is about business models
The legal-tech market is entering a more difficult stage.
Early enthusiasm centered on whether AI could perform impressive legal tasks. The next question is whether those capabilities can produce durable economics.
Technology companies must prove that customers will pay enough to support infrastructure and model costs. Law firms must demonstrate that productivity gains translate into better service, stronger margins or greater capacity. Clients will increasingly ask whether technology changes the value they receive for their legal budgets.
Meanwhile, AI companies face competition from both established legal-information businesses and the possibility that large law firms and corporate legal departments will build more technology internally.
The result could be a legal market in which software becomes less visible but more fundamental.
The important transformation is not that lawyers are being replaced by machines. It is that the production of legal services is becoming more software-intensive.
As that happens, the economics of law will depend increasingly on data, computing power, workflow design and intellectual property alongside professional expertise. The companies that control those layers could capture a growing share of the value created by legal work.
Legal technology is therefore becoming more than a tool for lawyers. It is becoming an industry with its own capital, competition and business models—and its development could determine how legal services are produced, priced and delivered.