Legal technology now touches nearly every stage of legal work, from the first research question to the final filing, transaction or client communication.
Some of those tools are so established that they barely register as technology anymore. Others, including generative artificial intelligence, are expanding what lawyers can do and how quickly they can do it.
For students asking what is legal tech, that breadth matters. Legal technology is not one platform, one category of software or another name for AI. It includes the tools and systems lawyers use to research, write, analyze information, manage documents, support litigation and transactions and carry out other everyday legal work.
For future lawyers, the more useful question is not simply which technologies exist. It is what they help lawyers accomplish, where they fit within the legal work, and how to use them effectively without losing sight of the legal judgment and professional responsibility behind the task.
Legal Tech Extends Far Beyond AI
Artificial intelligence dominates much of the current conversation about legal technology, but it represents only part of a much larger field.
“Students shouldn’t think of legal technology as one particular product or category,” says Oliver Roberts, adjunct professor at WashU Law and co-director of the WashU Law AI Collaborative. “It is really an umbrella term covering a very wide range of technologies that lawyers use to communicate, research, draft, analyze information, manage matters and increasingly build new solutions themselves.”[1]
That umbrella includes familiar tools such as email, videoconferencing and electronic filing systems. It also includes legal research databases, electronic discovery platforms, contract-management systems, practice-management software, cybersecurity tools, document-management systems and AI-enabled products.
Some technologies are designed around a specific task. Westlaw, LexisNexis and Bloomberg Law support legal research. Relativity helps litigation teams search, organize and review large volumes of electronically stored information during discovery. Contract technologies such as Spellbook can assist with drafting, comparison and redlining. Some legal AI platforms support several stages of legal work, including research, drafting, summarization and document analysis.
That is why legal technology can look very different across practice settings.
Why Generative AI Gets So Much Attention
AI is not entirely new to law.
Legal research companies and other technology providers have used algorithms, machine learning and predictive systems for years. More recently, generative AI has introduced a different capability: producing new text and other content in response to natural-language instructions.
That capability maps closely to legal work. Lawyers spend substantial time reading, researching, comparing, drafting and revising text. Generative AI can assist with each of those activities.
As a result, AI features are increasingly appearing inside legal research products, contract tools, litigation platforms and document systems. Lawyers can ask research questions conversationally, summarize large amounts of material, generate initial drafts or compare language across files.
At the same time, lawyers still rely on many technologies that are not primarily AI-driven, including systems for managing evidence, matters, documents, communications and deadlines.
Generative AI matters because it expands the range of tasks technology can assist with, particularly work involving language, analysis and drafting.
Legal Technology Follows the Work
The technology a lawyer uses depends on the problem they are trying to solve.
Litigators may rely heavily on legal research platforms and electronic discovery systems to locate authority, review evidence, organize case materials and prepare discovery.
Transactional lawyers may use technology to draft agreements, compare versions, identify provisions or review contracts at scale. In business law, those tools can support work involving transactions, corporate governance, compliance and contract management.
Lawyers working in intellectual property may use technology to research patents, analyze portfolios, review licensing agreements or manage large volumes of technical information.
Corporate legal departments may rely on contract-management systems, compliance tools, investigation platforms and technology for managing outside counsel. Government lawyers may use systems designed for litigation, regulation, public records or investigations. Courts use technology for filing, research, evidence, case management and judicial administration.
Across those settings, legal technology can help lawyers find, organize, compare and analyze information, draft documents, and manage the processes surrounding their work.
For students, the better starting question is not which platform they need to know. It is: What legal task is this technology helping me perform?
Technology Can Change the Process Without Replacing the Legal Analysis
Legal research shows how technology can change the process without changing the lawyer’s responsibility to understand and apply the law.
Traditionally, a lawyer might spend hours developing search terms, reviewing cases, following citations and refining the research questions. An AI-enabled research platform may identify relevant authorities and provide an initial synthesis within minutes.
That can change the speed and sequence of the work. It does not determine whether the research is legally sufficient.
The lawyer still needs to assess whether the cited authority exists, remains good law and actually supports the proposition for which it is being used. The lawyer must also identify contrary authority, understand the relevant jurisdiction and apply the law to the facts.
Contract analysis follows the same pattern. Technology can compare versions, flag clauses or suggest language. But whether a provision is acceptable depends on the transaction, the governing law, the negotiating position and the client’s objectives.
For students, that distinction matters because a tool is most useful when the student understands the legal process it supports. A student who understands legal research can better assess what a research platform has found and what it may have missed. The same is true in discovery and contract drafting.
Effective Use Requires More Than Technical Proficiency
Knowing how to operate a platform is only one part of using legal technology well.
Lawyers also need to understand a technology’s risks, the legal frameworks that govern the work and the professional obligations that apply to its use.
Comment 8 to Rule 1.1 of the American Bar Association Model Rules of Professional Conduct states that lawyers maintaining competence should keep abreast of changes in law and practice, including the benefits and risks associated with relevant technology.[2] Individual jurisdictions adopt and apply their own professional conduct rules, so a lawyer’s specific obligations depend on the applicable jurisdiction.
Generative AI has brought renewed attention to those responsibilities. In Formal Opinion 512, issued in July 2024, the ABA Standing Committee on Ethics and Professional Responsibility explained that lawyers using generative AI should consider existing duties involving competence, confidentiality, communication, supervision, candor and reasonable fees.[3]
For students, those duties translate into practical habits.
A lawyer should understand what information a system uses, what kind of output it produces and how that output informs the legal analysis. They should also verify any legal authorities it provides. Sensitive or confidential information may require additional safeguards. A generated draft may save time, but the lawyer remains responsible for the work submitted to a court or provided to a client.
Technology can make legal work faster. It does not make professional judgment optional.
Why Legal Technology Belongs Inside Legal Education
If technology is part of ordinary legal practice, students benefit from encountering it while they are learning the underlying legal work.
That does not mean every law student needs a separate legal technology track. It means technology can be taught where it naturally appears.
Research tools belong in legal research. Contract technologies make more sense when students understand transactional drafting. Litigation platforms prove more useful when students are learning discovery, evidence and case preparation.
“The objective should not simply be to teach students how to operate a particular product,” Roberts says. “Products will change. The more durable skill is teaching students how to evaluate and use technology intelligently within the legal process, while understanding where lawyer judgment, verification, ethics and professional responsibility remain essential.”[1]
That approach gives students a framework they can apply when they encounter unfamiliar technologies later in practice.
Research by Roberts and Olivia Gang based on interviews with attorneys at major law firms similarly found that employers continue to value traditional legal skills alongside AI proficiency. The lawyers interviewed emphasized judgment, critical thinking, attention to detail, professional responsibility and client service as technology becomes more integrated into legal work.[4]
Legal fundamentals and technological fluency are therefore not competing goals. Increasingly, they reinforce one another.
What Technology-Enabled Legal Education Looks Like
WashU Law’s approach offers one example of what that integration can look like in practice.
In the first-year Legal Research curriculum, students learn traditional research concepts such as court hierarchy, authority and research strategy while also evaluating AI-generated research, identifying fabricated material and comparing AI-assisted research with traditional methods.[5]
Students also have opportunities to encounter technologies used in practice through WashU Law’s relationships with legal technology providers.
Those experiences are designed to do more than familiarize students with a product. They give students a setting in which to examine what the technology changes, what it does well and where legal analysis still depends on the user.
Through the WashU Law AI Collaborative, students can also take part in AI-focused courses, research and fellowship opportunities. The Collaborative connects students with legal professionals, courts and technology organizations.[6]
What Prospective Students Should Look for When Comparing Law Schools
When comparing law schools, look at whether AI and legal technology appear in required courses as well as electives. Ask whether students have hands-on access to current tools, whether faculty are actively researching technology-related legal issues and whether clinics, fellowships or partnerships with courts, firms and technology providers create opportunities to apply that learning.
Prospective students can also look at how those experiences connect to the rest of the curriculum. Technology instruction is more meaningful when students encounter it alongside research, writing, litigation, transactional work and professional responsibility rather than only in standalone courses.
No school can teach every platform a graduate may encounter. The more useful question is whether students leave with experience applying technology to real legal work and a framework for evaluating unfamiliar tools as they enter practice.
Learning the Tool Is Only Part of the Job
Legal technology will keep changing, but the foundation students need is more durable.
Future lawyers should understand what technology can help them do, how to apply legal judgment to its use and how their professional responsibilities carry through the process. That kind of technological fluency is not separate from learning to practice law. It is increasingly part of it.
[1] Oliver Roberts, Adjunct Professor of Law & Co-Director, WashU Law AI Collaborative, written responses to WashU Law interview questions (Sept. 2026) (on file with WashU Law).
[2] Model Rules of Pro. Conduct r. 1.1 cmt. 8 (Am. Bar Ass’n 2026), Rule 1.1: Competence — Comment, https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/rule_1_1_competence/comment_on_rule_1_1/ (last visited Sept. 24, 2026).
[3] ABA Comm. on Ethics & Pro. Resp., Formal Op. 512, Generative Artificial Intelligence Tools (July 29, 2024), https://www.americanbar.org/content/dam/aba/administrative/professional_responsibility/ethics-opinions/aba-formal-opinion-512.pdf (last visited Sept. 24, 2026).
[4] Oliver Roberts & Olivia Gang, What Top Law Firms Say New Lawyers Need in the AI Era, Nat’l L. Rev. (June 22, 2026), https://natlawreview.com/article/what-top-law-firms-say-new-lawyers-need-ai-era (last visited Sept. 24, 2026).
[5] WashU Law, WashU Law Embeds AI in Legal Research Curriculum for All First-Year Students (June 13, 2025), https://law.washu.edu/news/washu-law-embeds-ai-in-legal-research-curriculum-for-all-first-year-students/ (last visited Sept. 24, 2026).
[6] WashU Law, AI Fellowship Program, https://law.washu.edu/legal-tech/washu-law-ai-fellowship-program/ (last visited Sept. 24, 2026); WashU Law, WashU Law Provides Specialized Artificial Intelligence Training for D.C. Court of Appeals Judges (Jan. 26, 2026).
