AI Legal Research

On July 10, 2026, analytics firm 8am released its SMB Law Financial Health Report, revealing that small and medium-sized law firms are billing more hours per case, not fewer. The finding directly contradicts years of industry promises that artificial intelligence would automate legal work and reduce billable time. Above the Law's Joe Patrice covered the report's core conclusion: despite AI deployment, efficiency gains have not materialized in the SMB sector.

Fastcase Inc., the legal research platform owned by Clio, sued Canadian AI company Alexi Technologies Inc. in federal court in Washington, D.C. on November 26, 2025, alleging breach of a 2021 data license agreement. Fastcase claims Alexi used licensed case law to train commercial generative AI models and display full-text decisions to users—uses explicitly prohibited under the original contract's "internal research purposes" restriction. The agreement permitted Alexi's staff attorneys to prepare client memoranda using the data, not to build a public, competing legal research platform. Fastcase seeks an injunction requiring Alexi to destroy both the datasets and the AI models trained on them, treating the model weights as infringing derivative works.

The United Nations released the International AI Safety Report 2026, a comprehensive assessment concluding that advanced artificial intelligence presents both transformative opportunities and escalating dangers. The report, led by the UN agency for digital technology, finds that AI can accelerate development in health, education, and financial services in developing nations while simultaneously enabling cyberattacks, deepfake fraud, non-consensual intimate imagery, and biological weapon design. The core finding: AI capabilities in critical fields like biological research are advancing faster than governance frameworks, creating a dangerous gap between what is technologically possible and what remains safe.

An Above the Law opinion piece challenges the assumption that artificial intelligence will reduce attorney work hours, arguing instead that AI adoption merely shifts labor from task execution to system management. While AI accelerates document processing and legal research, the article contends that firms must invest substantial time training, monitoring, and validating machine output to ensure accuracy and ethical compliance. The net result: attorneys work differently, not less.

University of Maryland law professors have found that OpenAI's GPT-5.5 did not meaningfully outperform its predecessor, o3, on law school final exams—a finding that challenges assumptions about consistent improvement in newer AI models.

Small law firms are billing 6.5 more hours per month than they did a year ago, according to data released by 8am, the company behind MyCase legal software. The analysis, drawn from millions of invoices, shows this increase reflects genuine additional work rather than inflated time entries—hourly rates rose 4.4% over the same period, from $262 to $274. The trend is most pronounced among firms with 4 to 10 attorneys, which are billing 15.5 additional hours monthly, roughly double the rate of other market segments. Meanwhile, small firms' 30-day collection rates have improved to 63% in 2026, up from 58% in 2024, contrasting sharply with collection slowdowns at larger firms.

Major law firms are moving beyond adopting AI tools to building proprietary systems designed to entrench their competitive position. Kirkland & Ellis announced a $500 million investment in a custom AI platform, while Fried Frank is embedding AI directly into its funds practice. This shift signals a departure from treating technology as a commodity—firms are now reorganizing core operations around AI capabilities and integrating partner expertise into these systems to create defensible competitive advantages.

Reed Smith LLP has established a dedicated artificial intelligence department combining lawyers, e-discovery specialists, and AI professionals to advise clients on legal, business, and technology issues related to AI. A Philadelphia-based partner will lead the new unit, formalizing what has been an expanding capability across the firm.

The Department of Justice announced the establishment of an Artificial Intelligence Litigation Task Force on January 9, 2026, formalizing AI's role in federal legal operations. The Task Force will oversee how the DOJ integrates AI into litigation workflows, marking an institutional shift from experimental adoption to regulated practice. The move reflects broader industry momentum: legal technology firms including Esquire Solutions, Baker Botts, and Lexis+ AI are now advising law firms on AI-assisted discovery and technology competence as standard practice rather than competitive advantage.

The Department of War terminated its $200 million partnership with AI firm Anthropic on February 27, 2026, after the company refused to remove safety restrictions on its Claude model for military use. Defense Secretary Pete Hegseth had issued a three-day ultimatum on February 24 demanding Anthropic disable all guardrails. When CEO Dario Amodei declined, Hegseth designated Anthropic a "supply chain risk," and President Trump issued a presidential order barring all federal agencies from using Anthropic's systems. The dispute centered on two non-negotiable demands from Anthropic: no fully autonomous lethal weapons and no mass surveillance of Americans.

Amazon has asked a federal judge in Washington to reject California attorney Kathy Hao's renewed motion to dismiss a trademark fraud lawsuit, claiming she is simply restating arguments from a prior motion that relied on AI-generated hallucinations. The company filed its opposition to keep the case alive, asserting that Hao's latest filing presents no new legal ground and merely recycles previously rejected content.

The Florida Bar has launched the Preferred Bar Program, a partnership with legal AI company Clio that makes Florida the first state bar in the United States to offer complimentary legal AI access as a member benefit. The program was formally unveiled on June 16, 2026, at the Florida Bar Convention in Orlando. Eligible members will receive four months of full, unlimited access to Clio Work, Clio's AI-powered legal workspace, followed by limited access for the duration of the agreement. The initiative includes a structured training program and certification path in responsible legal AI use, with availability expected later in 2026 after a registration period.

An advisory article cataloging eight high-risk uses of AI assistants like ChatGPT and Claude has highlighted the gap between widespread adoption and user safety guidance. The piece identifies specific domains where these large language models pose unacceptable risk: legal and compliance decisions, hiring or termination calls, medical diagnostics, and generation of final financial figures. The core problem is familiar—LLMs hallucinate statistics and present false information with unwarranted confidence—but the article emphasizes a secondary issue: AI providers themselves offer little guidance on what users should avoid, leaving organizations to independently identify pitfalls around data privacy, accuracy requirements, and inappropriate outputs.

Connecticut's Appellate and Supreme Courts have imposed mandatory verification requirements for all AI-generated citations, legal authorities, and evidence effective June 23, 2026. The rules threaten case-ending sanctions—including nonsuit or default judgment—for violations. The directive emerged from enforcement action against GLG Law LLC and a landlord's attorney whose filings contained ChatGPT-induced errors, including fabricated quotations and faulty citations. The Connecticut Judicial Branch and its AI Committee developed the policy, which now applies to all attorneys and pro se litigants in state courts.

A legal technology critique published by Above the Law argues that the true measure of a reliable legal AI system is not whether it finds correct answers, but whether it can recognize when no reliable answer exists. The piece frames this as a warning about how law firms currently evaluate AI tools—many systems are designed to produce definitive outputs even when underlying source material is incomplete, outdated, or ambiguous. Legal-tech vendors and commentators increasingly emphasize that AI should function as a drafting or reasoning assistant requiring human review, since legal outputs can be wrong, incomplete, or hallucinated.

Above the Law published a sponsored glossary addressing AI deployment in legal workplaces, framing the issue as tools "running unchecked" in business and positioning the piece as a practical guide for managers seeking to control AI use. The article covers large language models, retrieval-augmented generation (RAG), and other professional-grade AI tools, situating them within current legal practice—document review, contract analysis, workflow automation, legal research, and client service.

A sponsored article published on Above the Law argues that general-purpose AI tools are failing law departments due to a fundamental mismatch between what these systems can do and what legal work actually requires. The piece, titled "What Does Your Legal Team Actually Need From AI?", identifies hallucination, factual errors, and an inability to grasp legal nuance or business context as core problems. Tools like ChatGPT, Claude, and Microsoft Copilot are being deployed across contract review and eDiscovery without sufficient customization, leaving lawyers dependent on strict human supervision to catch errors and meet competence obligations.