Three years ago, a senior partner at a mid-sized London firm dismissed AI legal tools as glorified spellcheckers. Last month, his firm ran a competitive analysis and discovered that two of their largest clients had quietly shifted routine contract review to an AI platform — and were doing it in-house instead of billing for associate time. The conversation about AI in law has moved from speculation to competitive pressure, fast.
Research and case law: the most developed category
Lexis+ AI from LexisNexis is the most advanced legal research platform currently available. It combines conversational search with real-time Shepard’s citation validation — the system that tells you whether a case you’re about to cite is still good law. Asking Lexis+ a research question in plain language returns not just cases but analysis of how those cases have been treated subsequently, which is the kind of work that previously took a junior associate half a day. Thomson Reuters’ CoCounsel brings similar capabilities through Westlaw, with particular strength in drafting and document analysis.
Both platforms have made significant investments in hallucination reduction. After a federal judge sanctioned a New York lawyer in November 2023 for citing cases that did not exist, the legal AI market got very serious about verification. Current enterprise-grade platforms now flag unverifiable citations automatically rather than presenting them as fact.
Contract work: where AI is saving the most hours
Spellbook has established itself as the dominant tool for transactional lawyers. It works directly inside Microsoft Word — lawyers don’t have to change their workflow to use it. Feed Spellbook your firm’s existing contract templates and it learns from them, generating first drafts and suggesting clause variations that match your house style. The redlining and risk detection capabilities have made first-pass contract review measurably faster at firms that have committed to deploying it seriously.
Harvey, the professional AI platform built specifically for law firms, is the name that keeps appearing in enterprise conversations. It combines large language model capabilities with legal domain training and has been deepening integrations with core legal systems like Aderant and iManage. The focus in 2026 is on embedding Harvey’s capabilities into the systems lawyers already use so that AI assistance happens where the work actually happens.
In-house teams and smaller practices
In-house legal departments have different needs from law firms, and the tooling has started to reflect that. GC AI is purpose-built for the one-lawyer-covers-everything reality of most in-house roles — a single attorney handling commercial contracts, employment issues, regulatory questions, and corporate governance simultaneously. The platform is designed for breadth rather than depth.
Clio, which has long been the practice management platform of choice for smaller firms, added AI capabilities that bring research and drafting tools to practitioners who can’t justify an enterprise contract. For solo practitioners and small partnerships, the combination of Clio’s workflow management and its AI features provides a functional alternative to the expensive platforms designed for large firms.
What lawyers actually use day to day
A realistic picture of AI in law in 2026 looks less dramatic than the marketing suggests. ChatGPT and Claude are widely used for drafting, summarising long documents, and brainstorming arguments. Legal-specific platforms handle anything that touches client data or requires citation accuracy. The two categories serve different purposes and most firms use both.
The direction of travel is toward agentic AI: systems that can handle defined tasks without step-by-step human instruction. That capability is arriving in 2026, and firms that have already built fluency with the current generation of tools will be better positioned to use it. For more coverage of AI in law, visit Mylistingo.
