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Welcome to this week's edition of The Legal Wire!

A jury hit Tesla with a $200 million verdict for hiding critical Autopilot data in a fatal crash, a ruling likely to accelerate tougher safety rules for self-driving tech.

Meanwhile the legal sector keeps scaling: Harvey cracked $100 million in ARR, Lenovo rolled out chatbots and contract-review AI for its in-house teams, and Thomson Reuters’ new “Deep Research” in Westlaw turns hours of digging into minutes. Pennsylvania lawmakers want similar rigor in health care, drafting a bill to keep doctors, not algorithms, in charge of patient decisions.

Looking for the next edge? Then you should learn more about Marveri. Built by Harvard- and MIT-trained founders, its no-chatbot platform gives deal lawyers instant oversight of sprawling data rooms. CEO Connor Acle explains how in our full interview.

This week’s Highlights:

• Industry News and Updates

• No Chatbots Needed, Just Diligence: How Marveri Brings AI Back to the Deal Table

• AI Regulation Updates

• AI Tools to Supercharge your producivity

• Legal prompt of the week

• Latest AI Incidents & Legal Tech Map

➡️ OpenAI Temporarily Raises GPT-5 Thinking Limits | Sam Altman said rate limits for reasoning models across all model classes are being increased above pre-GPT-5 levels, for now, after user backlash. He warned the change is temporary and may trade off other features (especially for free users), citing surging use of reasoning models (free: 1%→7%; Plus: 7%→24%).
^{Aug 11, 2025, Source: Gadgets360}

➡️ Tesla Fined $200M for Hiding Autopilot Crash Data | A jury has ordered Tesla to pay over $200 million after it was found to have withheld key crash data in a fatal Autopilot accident. The hidden telemetry showed the system was engaged but failed while the driver’s hands were off the wheel. The verdict raises concerns about Tesla’s transparency and marketing of its self-driving tech. The case may set a precedent for tougher safety rules and greater accountability across the auto industry.
^{Aug 7, 2025, Source: Open Tools}

➡️ Lenovo Uses AI to Streamline Legal Work and Cut Repetitive Tasks | Lenovo has launched AI tools to reduce repetitive legal tasks and boost productivity. A chatbot now answers common employee questions and directs complex issues to the right legal expert, cutting delays across time zones. For legal teams, the Lenovo AI Legal Assistant summarizes contracts, highlights risks, and accelerates document review. Already live in multiple languages, the company says the tools save time and improve access to accurate legal guidance.
^{Aug 7, 2025, Source: Lenovo}

➡️ Thomson Reuters Launches Deep Research to Transform Legal AI | Thomson Reuters has unveiled Deep Research, an AI-powered system built into Westlaw and CoCounsel. Unlike basic AI tools, it mimics how top legal researchers think: strategizing, planning, and using Westlaw’s exclusive tools like KeyCite and statute annotations. Tested with over 1,200 customers, Deep Research turns hours of legal work into minutes by running AI agents in parallel. It will be available next week in Westlaw Advantage and CoCounsel Legal, marking a major leap forward in legal research.
^{Aug 5, 2025, Source: Thomson Reuters}

➡️ Harvey Hits $100M ARR as Legal AI Adoption Soars | Legal AI startup Harvey has reached $100 million in annual recurring revenue, driven by rapid growth in users and over 500 customers, including Comcast. Weekly usage has quadrupled in a year. The company is expanding globally and strengthening its team with hires from Twitter and Stripe as it scales to meet rising demand in the legal tech space.
^{Aug 4, 2025, Source: AInvest}

➡️ Pa. Lawmakers Push for AI Oversight in Health Care | Pennsylvania lawmakers, led by Rep. Arvind Venkat, plan to introduce a bill regulating AI use in health care, citing the need for transparency and human oversight. While AI tools help with diagnostics and documentation, Venkat says decisions about patient care must remain with doctors. Supporters say AI boosts efficiency, with Pittsburgh-based Abridge already used by major hospitals. No federal law exists yet, but some states have acted, and more than 250 AI health bills have been proposed nationwide.
^{Aug 4, 2025, Source: WesaFM}

Legal Technology

No Chatbots Needed, Just Diligence: How Marveri Brings AI Back to the Deal Table

At The Legal Wire, we’ve seen a wave of legal AI tools aiming to simplify everything from drafting to research, with many of them powered by increasingly conversational interfaces. But the demands of M&A and investment work are uniquely high-pressure and document-heavy, calling for tools that bring order, accuracy, and speed to the due diligence process.

Marveri was built with that challenge in mind: a platform focused on giving transactional lawyers immediate clarity over complex data rooms, without the need for prompting or back-and-forth dialogue.

Founded out of graduate programs at Harvard and MIT, and backed by Bessemer Venture Partners and high-profile M&A lawyers, Marveri’s team blends AI research, engineering, and Big Law experience. And their product reflects that: an end-to-end system for organizing and analyzing any deal room.

This week, The Legal Wire had the opportunity to learn more about Marveri, in conversation with Connor Acle, Co-Founder and CEO of Marveri, a former Big Law corporate lawyer.

Click here to continue reading the full interview

The AI Regulation Tracker offers a clickable global map that gives you instant snapshots of how each country is handling AI laws, along with the most recent policy developments.

The most recent developments from the past week:

📋 10 August 2025 | China wants US to relax export controls on chips as part of trade deal: It is reported by the Financial Times that China wants the US to ease export controls on a critical component for AI chips as part of a trade deal ahead of a possible summit between President Donald Trump and President Xi Jinping. Chinese officials have told experts in Washington that Beijing wants the Trump administration to relax export restrictions on high-bandwidth memory (HBM) chips, according to several people familiar with the matter. The White House, State Department and China’s foreign ministry did not immediately respond to requests for comment on the report.

📋 8 August 2025 | President Trump reveals plans to levy 100% tariff on semiconductors, unless companies are building in the US: President Trump has announced that US will impose a 100% tariff on imports of semiconductors subject to an exemption that it will not apply to companies that are manufacturing in the US or have committed to do so. It is hinted that this exemption will apply to companies like Apple, Nvidia, GlobalFoundries and others who have committed funds towards or pledged to manufacture semiconductor products in the US. President Trump’s announcement was, however, not a formal tariff announcement, and much remains unclear about how companies and countries around the world will be impacted.

📋 6 August 2025 | Productivity Commission says government must pause plan for ‘mandatory guardrails’ on AI: Australia’s Productivity Commission has released its interim report in relation to its inquiry into harnessing data and digital technology. The report presents draft recommendations focused on four key policy reform areas: (1) Enable AI’s productivity potential; (2) New pathways to expand data access; (3) Supporting safe data access and use through outcomes-based privacy regulation; and (4) Enhance reporting efficiency, transparency and accuracy through digital financial reporting. Notably, the Productivity Commission has opposed the introduction of tough laws to control AI being considered by the government, warning its plan for “mandatory guardrails” should be paused until gaps in the law are properly identified – “The Australian government should only apply the proposed ‘mandatory guardrails for high-risk AI’ in circumstances that lead to harms that cannot be mitigated by existing regulatory frameworks and where new technology-neutral regulation is not possible” (Productivity Commission).

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This prompt gives you a turnkey blueprint for an AI discovery-triage agent that slashes first-pass review time, surfaces smoking-gun evidence early, and lets the legal team focus on strategy rather than document slogging.

Instructions:
Give three inputs:

1. Matter name & jurisdiction

2. Estimated document volume (e.g., “120 GB email + 15 GB chat”)

3. Top 5 factual issues the case turns on

Ask ChatGPT to design an autonomous legal AI agent that will:

- Ingest & index incoming ESI (email, chat, docs) via your review platform API.

- Auto-tag relevance by linking documents to the five factual issues.

- Prioritize review batches (high → low probative value) and push tasks to reviewers.

- Surface hot docs daily with short AI summaries and MD5 hashes.

- Track review statistics (docs reviewed per hour, issue hit-rates) and alert when key custodians are exhausted.

- Escalate exceptions (privileged hits, foreign-language files) to a supervising attorney.

- Log every action for audit and privilege protection.

Deliverables requested:

- A step-by-step agent workflow diagram (trigger → action → output).

- Required integrations (review platform, DMS, calendaring, notifications).

- Guardrails for privilege, confidentiality, and accuracy.

- KPIs to measure success (review speed, recall/precision, cost saved).

- A 30-day pilot plan with human-in-the-loop checkpoints.

The Responsible AI Collaborative is a not‑for‑profit organization working to present real‑world AI harms through its Artificial Intelligence Incident Database.

View the latest reported incidents below:

⚠️ 2024-05-06 | Google Healthcare AI Model Med‑Gemini Allegedly Produces Non‑Existent 'Basilar Ganglia' Term in Published Output | View Incident

⚠️ 2025-08-02 | Airbnb Host Reportedly Accused of Using Purportedly AI‑Altered Photos in False Damage Claim | View Incident

⚠️ 2025-04-07 | Purported Deepfake Depicts Altercation Between Bougainville President Ishmael Toroama and Papua New Guinea Prime Minister James Marape | View Incident

⚠️ 2025-04-01 | Reported AI‑Generated Deepfake Impersonations of Public Figures Allegedly Used in Coordinated Stock Pump‑and‑Dump Scheme Targeting Israeli Investors | View Incident

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