The lawyer's field guide to a fast-moving field.

Harvey has partnered with PacerPro to stream real-time federal docket data directly into its legal AI platform. The integration allows litigators to automatically pull filings, track dockets, and process court data within their AI workflows.

Legal technology startup Norm has raised $120 million in Series C funding led by Khosla Ventures. The round elevates the company to unicorn status with a $1.2 billion valuation.

A Connecticut state court judge sanctioned a pro se plaintiff for embedding invisible, white-colored text in a pleading designed to manipulate AI models into agreeing with his legal arguments. The court revoked the plaintiff's electronic filing privileges, warning that using concealed text injections to influence AI tools disrupts judicial processes.

Justice Jerod Tufte presented to the Big Muddy Bar Association on the North Dakota Supreme Court's approach to AI, emphasizing careful use and scrupulous verification after the Court sanctioned a pro se litigant $500 for submitting fictitious cases in City of Dickinson v. Helgeson. He also detailed Administrative Order 36, which authorizes internal court use of generative AI under specific data-retention and sensitivity guidelines.

India's government has introduced draft guidelines regulating the use of AI in courtrooms. The proposed rules explicitly prohibit algorithmic decision-making, bail or recidivism risk scoring, and party profiling, ensuring final determinations remain solely with human judges.

Swedish legaltech platform Legora has formed a strategic partnership with US-based Intapp. The collaboration will connect Legora's platform directly with Intapp's AI-driven compliance technology.

Relativity announced Relativity claiR, a new conversational AI interface designed for attorneys. Major law firms including A&O Shearman, Foley & Lardner, and K&L Gates are currently using the tool via an early access program ahead of general availability early next year.

Croke Fairchild Duarte & Beres LLC has appointed partner David Lopez-Kurtz as its first chief of artificial intelligence and technology innovation. The move reflects the growing trend of law firms creating dedicated leadership roles to oversee AI adoption and strategy.

Greenberg Traurig has rolled out a new generation of AI capabilities to lawyers across its global offices. The deployed technology is designed to assist attorneys with planning, researching, and drafting throughout the lifespan of a matter.

Harvey co-founder and CEO Winston Weinberg revealed the company's valuation reached $11 billion in March, with over 75 of the Am Law 100 now using the platform. Weinberg credited the use of lawyer-crafted seed datasets to generate high-quality synthetic data as key to tuning models for specialized litigation, compliance, and contract work.

Google Cloud has officially entered the legal market with Gemini Enterprise for Legal, an agentic AI platform designed for legal workflows, privacy, and regulatory monitoring. Major legal technology vendors including iManage, Everlaw, and Docusign immediately announced direct integrations, while Thomson Reuters unveiled its own proprietary LLM.

Legal intelligence startup Discernis secured $2.5 million in seed funding led by Newfund Capital. The company offers eDiscovery and litigation AI designed to analyze millions of documents within a law firm's secure cloud or on-premises environment without making third-party API calls.

A landmark study from MIT CSAIL demonstrates that as training datasets grow, the causal influence of any single artist's image drops toward zero, making outputs statistically unattributable to individual training files. This technical finding gives legal teams defending diffusion-based AI models a scientific framework to argue that visual similarity does not constitute factual or legal theft.

Publishers and nonfiction authors have launched a potential class-action copyright lawsuit against OpenAI for using textbooks to train its AI models. The suit argues that AI-generated responses directly undermine the textbook market by providing competing material to budget-conscious students and institutions.

The AI Rights Project filed an amicus curiae brief in Northern California's In re Mosaic LLM Litigation, arguing that courts are relying on an unexamined assumption by equating machine AI training to human reading. The brief contends that extending fair use doctrine to machine-scale training without explicit human creative judgment is a decision that belongs to Congress, not the courts.

A federal court in Disruptive Resources v. Ballistic Barrier Products declined to sanction an attorney who used AI tool Strongsuit to draft a claim-construction brief containing errors. The judge distinguished the incident from fake-citation cases because counsel quickly disclosed the AI use and withdrew the faulty sections, but warned that future AI mistakes could trigger sanctions.

Bain Capital Ventures Partner Matt Harris outlined the firm's legal tech investment thesis, favoring AI-native startups like Norm Ai, EvenUp, and Legora over direct investments in traditional Big Law firms. Harris expects law firms to face significant disruption and human capital adjustments over the next five years as AI platforms take over segments like contract negotiation and regulatory compliance.

Tech Justice Law Executive Director Meetali Jain is leading key legal challenges against AI vendors, persuading a judge to advance product-safety liability claims against Character.AI before a settlement was reached in January. Her firm is also suing OpenAI over a teenager's wrongful death, highlighting growing product liability risks for generative AI developers.

A federal judge in California granted final approval to a $1.5 billion class action settlement resolving allegations that Anthropic scraped hundreds of thousands of copyrighted books to train its Claude LLMs. Under the agreement, affected rights holders will receive an estimated $3,000 per work, and Anthropic is required to destroy original and copied files of pirated works owned by class members.

A magistrate judge in Mobley v. Workday denied a motion to compel Workday to produce customer applicant data, ruling the vendor lacked control under its master subscription agreements. The court also held that Workday's internal AI bias-testing data was protected by attorney-client privilege.