Lead story
Florida Becomes First State to Sue OpenAI Over ChatGPT Safety
Florida Attorney General James Uthmeier filed a lawsuit against OpenAI and CEO Sam Altman on June 1, 2026, alleging the company concealed serious risks associated with ChatGPT and marketed it aggressively despite internal safety warnings. The complaint, filed in Highlands County Circuit Court, claims OpenAI knowingly released and promoted ChatGPT while suppressing evidence of harm, including risks to children. Florida is the first U.S. state to take legal action against OpenAI over AI-related harms.
- What happened
- Florida Attorney General James Uthmeier filed a lawsuit against OpenAI and CEO Sam Altman on June 1, 2026, alleging the company concealed serious risks associated with ChatGPT and marketed it aggressively despite internal safety warnings. The complaint, filed in Highlands County Circuit Court, claims OpenAI knowingly released and promoted ChatGPT while suppressing evidence of harm, including risks to children. Florida is the first U.S. state to take legal action against OpenAI over AI-related harms.
- Why it matters
- This lawsuit will likely generate substantial eDiscovery obligations, including production of internal safety research, model development records, and executive communications. The case could set precedents for how AI companies handle document preservation and production. Practitioners should monitor discovery scope, potential protective orders for proprietary model information, and any court guidance on preserving AI training data and internal safety analyses.
- Watch
- The complaint was filed in state court in Highlands County, Florida. OpenAI has not yet filed a formal response. The case is in its earliest stages.
Sourcesapnews.comLaw.comwusf.org
Briefing item
Seventh Circuit Clarifies Counsel's Duties When AI Hallucinations Appear in Opposing Brief
On June 2, 2026, the Seventh Circuit published analysis of its March 30, 2026 decision in Dec v. Mullin, addressing counsel's obligations when AI-generated hallucinated citations appear in an adversary's brief. The court admonished the attorney who submitted the hallucinated cases but declined formal sanctions, citing the attorney's contrition and the fact that the errors supported an undisputed legal standard. The court also criticized opposing counsel for failing to catch the inaccuracies.
- What happened
- On June 2, 2026, the Seventh Circuit published analysis of its March 30, 2026 decision in Dec v. Mullin, addressing counsel's obligations when AI-generated hallucinated citations appear in an adversary's brief. The court admonished the attorney who submitted the hallucinated cases but declined formal sanctions, citing the attorney's contrition and the fact that the errors supported an undisputed legal standard. The court also criticized opposing counsel for failing to catch the inaccuracies.
- Why it matters
- This decision provides rare appellate guidance on how courts expect attorneys to handle AI-generated errors in opposing filings. The Seventh Circuit's criticism of both the filing attorney and opposing counsel signals that courts expect lawyers on both sides to actively verify citations — not just the submitting party. This has implications for litigation workflows, including how teams review opposing filings and whether AI-assisted citation verification should become standard practice.
- Watch
- The analysis was published June 2, 2026 by Greenberg Traurig's eDiscovery Watch blog, summarizing a March 30, 2026 decision. The court declined formal sanctions in this specific case, which may limit its precedential weight.
Sourcesgtlaw-ediscoverywatch.com
Briefing item
Wordsmith Raises $70M Series B to Scale Corporate Legal AI Platform
Wordsmith AI announced a $70 million Series B funding round led by Highland Europe and Index Ventures on June 3, 2026. The company plans to use the funding to accelerate platform development, scale to 300 employees globally by year-end, expand in the U.S. market, and serve growing demand from corporate legal departments seeking to reduce outside counsel spend through AI-driven workflows.
- What happened
- Wordsmith AI announced a $70 million Series B funding round led by Highland Europe and Index Ventures on June 3, 2026. The company plans to use the funding to accelerate platform development, scale to 300 employees globally by year-end, expand in the U.S. market, and serve growing demand from corporate legal departments seeking to reduce outside counsel spend through AI-driven workflows.
- Why it matters
- The $70M round signals continued investor confidence in AI-powered legal operations platforms, particularly those targeting in-house legal departments. For eDiscovery practitioners, the trend toward integrated legal operations platforms that combine matter intake, workflow automation, and AI processing may influence how legal teams source and manage eDiscovery tools — potentially consolidating vendors into broader legal operations suites.
- Watch
- Funding details and customer metrics are based on company announcements. Independent verification of the 500+ customer count has not been published.
Sourcesartificiallawyer.com
Briefing item
LawGeex Founders Launch Superlegal NewMod Firm for Construction Contract Review
Noory Bechor and Ilan Admon, co-founders of the original LawGeex, have launched a NewMod law firm under their Superlegal brand, based in Utah and focused on construction industry contract review. The regulated AI-first firm operates under Utah's sandbox regulatory framework, offering commercial contract review and redlining in under 24 hours at prices as low as $117 per contract, with a licensed attorney signing off on every review.
- What happened
- Noory Bechor and Ilan Admon, co-founders of the original LawGeex, have launched a NewMod law firm under their Superlegal brand, based in Utah and focused on construction industry contract review. The regulated AI-first firm operates under Utah's sandbox regulatory framework, offering commercial contract review and redlining in under 24 hours at prices as low as $117 per contract, with a licensed attorney signing off on every review.
- Why it matters
- The LawGeex founders' continued build-out of AI-first legal service models demonstrates the evolution from pure SaaS contract review tools toward fully integrated legal service delivery. For eDiscovery, this trend toward AI-native legal service firms with proprietary trained models represents a broader industry shift that may influence how document review and contract analysis are sourced — potentially bypassing traditional law firm and eDiscovery vendor models entirely.
- Watch
- Performance claims (90% cost reduction, 70% deal cycle reduction) are based on company-reported figures. The Utah sandbox model has specific regulatory constraints that may limit geographic expansion.
Sourcesartificiallawyer.com
Briefing item
Legal AI Faces Growing Token Cost Crisis as Frontier Model Prices Rise
Artificial Lawyer published an in-depth analysis on June 3, 2026 examining the rising cost of LLM tokens and its impact on legal AI adoption. The piece reports that OpenAI and Anthropic are increasing prices for their latest frontier models (including Opus 4.7 and GPT-5.5), while agentic and reasoning workloads consume significantly more tokens than earlier chat-based use cases. Industry leaders warn this could reshape how law firms and legal tech vendors structure pricing and deploy AI.
- What happened
- Artificial Lawyer published an in-depth analysis on June 3, 2026 examining the rising cost of LLM tokens and its impact on legal AI adoption. The piece reports that OpenAI and Anthropic are increasing prices for their latest frontier models (including Opus 4.7 and GPT-5.5), while agentic and reasoning workloads consume significantly more tokens than earlier chat-based use cases. Industry leaders warn this could reshape how law firms and legal tech vendors structure pricing and deploy AI.
- Why it matters
- Rising token costs directly impact the economics of AI-assisted eDiscovery, particularly for document review, TAR workflows, and agentic research tasks that consume large volumes of tokens. Law firms and legal tech vendors may need to adopt hybrid strategies — using cheaper models for initial triage and frontier models only for high-value tasks. This could influence vendor pricing models, firm AI budgets, and the competitive landscape as companies that optimize token consumption gain cost advantages.
- Watch
- The analysis is based on industry commentary and vendor statements. Independent benchmarking of token consumption across legal AI workflows has not been published. Token pricing may change as competition among model providers evolves.
Sourcesartificiallawyer.com
Educational only. Not legal advice. Review sources and matter-specific obligations before relying on any workflow decision.