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This week, legal AI went deeper into the systems that decide whether work is trusted, billed, reviewed, and regulated. Aderant and Harvey launched an integration that turns AI-powered legal work into draft time entries inside iTimekeep, complete with matter context, duration, and narrative.

Regulators are tightening the other side of that equation. The UK Solicitors Regulation Authority issued a warning notice to solicitors and firms after receiving 42 AI misuse reports over the past year, with particular concern around hallucinated court filings and confidential client information being entered into AI tools without proper safeguards. In the U.S., lawmakers released a bipartisan draft framework for frontier AI oversight, while Colorado proposed detailed rules on automated decision-making and chatbot safety ahead of a 2027 start date.

The infrastructure layer is changing too. DeepJudge launched an Agent Handoff Protocol, backed by Harvey and Thomson Reuters, to preserve context as users move between AI platforms. South Korea’s audit of its $1.1 billion AI data programme offered a useful warning from another angle: without reliable data, even the most ambitious AI initiatives can lose their footing.

Our feature this week brings the same question back to the business model of law itself. 360 Law Group, led by Robert Taylor, is testing what happens when legal services are built around fixed pricing, global networks, and AI-supported delivery rather than the six-minute increment. Its AI Audit service is only one piece of the story; the larger point is a firm trying to redesign legal work around clients instead of billing habits.

➡️ Aderant And Harvey Launch Integration Turning AI Legal Work Into Billable Time | Aderant has released the general availability of its iTimekeep integration with Harvey, converting AI-powered legal work performed in Harvey directly into draft time entries in iTimekeep, complete with matter context, duration, and an AI-generated narrative. Lawyers review and submit entries through their firm's standard approval process. Building on a December 2025 partnership, the integration aims to reduce administrative overhead of time reconstruction while preserving existing billing controls and compliance rules.
^{Aug 17, 2026, Source: Aderant}

➡️ UK SRA Issues AI Warning Notice To Solicitors And Law Firms | The Solicitors Regulation Authority has published a warning notice reminding UK solicitors and firms of their obligations when using AI, flagging risk of disciplinary action. It cites 42 AI misuse reports received between July 2025 and July 2026. The SRA highlighted two areas of concern: false or hallucinated content in court documents and confidential client information entered into AI tools without safeguards, referencing Ayinde v Haringey and UK v Secretary of State for the Home Department.
^{Aug 17, 2026, Source: Legal IT Insider}

➡️ US House Releases Bipartisan Discussion Draft On Frontier AI Oversight | Reps. Jay Obernolte and Lori Trahan have released a discussion draft of the Great American AI Act, signalling a federal response to state-level frontier model laws in Illinois, California, and New York. The framework would require semi-annual third-party audits by state-licensed Independent Verification Organizations, formalise the Commerce Department's Center for AI Standards and Innovation with $100 million annual funding, and authorise penalties up to $1 million per violation, per day. It pre-empts state laws targeting AI development for three years but leaves use and deployment rules untouched.
^{Aug 17, 2026, Source: Massachusetts Lawyers Weekly}

➡️ Colorado Proposes Rules For ADMT And Chatbot Safety Laws | The Colorado Department of Law has filed proposed rules implementing the Automated Decision-Making Technology Act and the Chatbot Safety Act, both effective 1 January 2027. Draft provisions cover developer and deployer duties, adverse outcome disclosures within 30 days, consumer rights to access, correction, and human review, and chatbot safety obligations including age assurance and AI disclosures. A rulemaking hearing is set for 26 October.
^{Aug 14, 2026, Source: Troutman Pepper Locke}

➡️ DeepJudge Launches Agent Handoff Protocol With Harvey And Thomson Reuters On Board | DeepJudge has released Agent Handoff Protocol, an open protocol enabling context continuity across AI platforms, so users can move between systems without rebuilding prompts, materials, or prior analysis. Harvey has committed to an integration entering beta this month, and Thomson Reuters has confirmed support. The protocol complements existing standards like MCP, focusing on preserving user context rather than just tool calls. The specification is available on GitHub for other AI providers and firms to adopt.
^{Aug 13, 2026, Source: DeepJudge}

➡️ South Korea's $1.1B AI Data Program Compromised, Auditors Find | South Korea's Board of Audit and Inspection has found that ₩1.6 trillion (about $1.13 billion) spent over seven years to build 908 AI training datasets was undermined by annotation errors, file-matching failures, and duplication across four agencies. A Personal Information Protection Commission dataset of 1,000 oral images duplicated existing MSIT data. The report lands as a pending PIPA bill would allow controllers to train AI on original personal data without individual consent, subject to PIPC approval.
^{Aug 13, 2026, Source: Tech Times}

The EU AI Act's transparency and general-purpose AI obligations arrived on 2 August 2026, and organisations across Europe are being reminded, sometimes uncomfortably, that policy claims and demonstrable compliance are different things. Earlier this summer, 360 Business Law, one of the two arms of the 360 Law Group, launched an AI Audit service to help enterprises close the distance between the two. It was the kind of product launch that deserved a short write-up, and would ordinarily have received one.

However, what emerged during a conversation with Robert Taylor, the group's chief executive and general counsel, was something considerably richer.

The AI Audit is really interesting, and worth returning to. But it is one relatively small piece of a group that has, over the last twelve or so years, been rebuilding what a law firm can look like when it is allowed to break most of the profession's default assumptions at once.

360 Law Group is two firms operating in parallel. 360 Business Law is an unregulated law firm serving over four hundred corporate clients across around ninety countries, drawing on a network of between six hundred and seven hundred lawyers. 360 Law Services is an England & Wales regulated law firm handling private client work, personal injury, family law, litigation, residential and commercial property, as well as wills and probate. The two exist under one holding entity because Robert wants both available in the same conversation. Often what happens is that a firm that can address only the corporate side ends up sending clients elsewhere for the personal issues that inevitably arise.

This week, The Legal Wire sat down with Robert, who spent his earlier career as a barrister and then in-house, ending as general counsel, international, for a NASDAQ-listed software and gaming company. He started 360 Law Group when he decided the legal profession had stopped meeting the needs of the clients it was designed to serve. The pricing model is unusual. The structure of the network is unusual. The AI product, previewed lightly in this piece with his permission, is unusual too. The through-line is a founder who thinks the profession's incentives have been arranged for the wrong party for a long time.

Click here to continue reading the full interview

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