Ledger has confirmed finding an unauthorized hardware implant in a device sold through a reseller.
Up to $93M in suspected losses across 311 wallets so far.
This is a classic supply-chain attack.
The reseller, CryptoBilis, also sells Trezor, Tangem and SafePal wallets.
According to Reuters:
• Document review, legal research and drafting are increasingly handled in-house using AI.
• A 38-person internal team, LegalEdge, is taking on work previously outsourced to law firms.
• AT&T has partnered with OpenAI to make 100+ years of institutional legal knowledge accessible through AI.
• The company may reduce its panel of around 30 national law firms to 18–20 over the next two years.
Source: Reuters
Google has been fined more than €400m (£345m) over the way it processed users’ location data, following claims that the tech giant had manipulated users into agreeing to be constantly tracked on their mobile phones.
The fine, imposed by Ireland’s Data Protection Commission (DPC), comes after complaints from multiple European consumer organisations that Google was following every step users took.
Source:
I've been building a library of Legal AI Skills for a while.
The idea is simple.
Instead of asking one AI to do everything, bring in different specialists depending on the matter: contracts, corporate, litigation, compliance, employment, IP, investigations, dispute resolution and legal research.
Give it a complex matter and it can break down the work, use the relevant specialists, work through the documents and issues, check the output, and bring everything back together.
There are now 9 specialist virtual lawyers and 160+ Legal AI Skills.
It’s completely free and open source.
I’d especially love feedback from lawyers on what you’d want an AI legal team like this to be able to do next.
OpenAI just launched Astra for Law. Here’s the good, the bad, and the ugly.
The Good:
It is built specifically for legal work. It has a dedicated legal search system covering 230M+ web pages, access to CourtListener’s huge US case law database, and integrations with legal tools like Clio and Relativity.
The Bad:
Right now, it is mainly focused on US law. Lawyers working with Indian, UK, and other laws will not get the same level of legal research support.
The Ugly:
Even with a special legal model and legal search, it got only 54% on OpenAI’s legal research test. That is much better than regular AI, but still means lawyers need to check the work carefully.
One thing I really like: OpenAI is making it open and flexible. Law firms can connect their own data, tools, plugins, and skills. It launched with 26 partner plugins and 47 community-built legal skills.
India has launched a pilot to issue and settle corporate bonds as blockchain tokens, an early move to bring distributed-ledger technology into a $620 billion market using the country's digital rupee.
The Securities and Exchange Board of India unveiled the program, dubbed "Demat 2.0," last week alongside the Reserve Bank of India.
Under the system, a corporate bond is issued as a native digital token on a private, permissioned ledger operated by India's statutory depositories, NSDL and CDSL.
Three companies have already tapped the framework, raising a combined 1,025 crore rupees, or about $107 million.
Source: https://decrypt.co/378120/india-begins-tokenizing-its-620-billion-corporate-bond-market?amp=1
India has taken a major step in blockchain-based financial markets.
SEBI has successfully launched Demat 2.0, a pilot for tokenised corporate bonds. Bonds are issued natively as digital tokens on a distributed ledger and settled using RBI’s wholesale CBDC (e₹).
The big changes:
• Same-day settlement
• Atomic settlement of bonds and money
• Automated interest and redemption through smart contracts
• Lower reconciliation and servicing effort
• Existing investor protections and legal framework continue to apply
Three issuers have already raised ₹1,025 crore through tokenised bonds: REC, L&T and IIFL.
What makes this particularly interesting is the combination of DLT + statutory depositories + central bank digital currency within the existing regulated market infrastructure.
Tokenisation in India is moving from pilots and concepts to actual market infrastructure.
Please add to this list.
The LegalTech Fund: first dedicated legaltech VC. Early-stage law firm, in-house, and consumer legal software. https://www.legaltech.com
Thomson Reuters Ventures: TR’s corporate VC for legal, tax, risk, and compliance tech. https://www.trventures.com
Andreessen Horowitz: one of the most active legal AI backers (Harvey, Eve, others). https://a16z.com
Sequoia Capital: led major Harvey rounds and other legal AI deals. https://www.sequoiacap.com
Coatue: growth investor in Harvey and other legal AI companies. https://www.coatue.com
Y Combinator: highest deal count among legal tech seed investors. https://www.ycombinator.com
Myriad Venture Partners: early-stage AI/enterprise firm active in patent, litigation, and contract tools. https://www.myriadventures.com
Lightspeed Venture Partners: frequent legal AI investor (Eve and related companies). https://lsvp.com
India has taken a major step in blockchain-based financial markets.
SEBI has successfully launched Demat 2.0, a pilot for tokenised corporate bonds. Bonds are issued natively as digital tokens on a distributed ledger and settled using RBI’s wholesale CBDC (e₹).
The big changes:
• Same-day settlement
• Atomic settlement of bonds and money
• Automated interest and redemption through smart contracts
• Lower reconciliation and servicing effort
• Existing investor protections and legal framework continue to apply
Three issuers have already raised ₹1,025 crore through tokenised bonds: REC, L&T and IIFL.
What makes this particularly interesting is the combination of DLT + statutory depositories + central bank digital currency within the existing regulated market infrastructure.
Tokenisation in India is moving from pilots and concepts to actual market infrastructure.
I have built an open collection of 160+ Legal AI Skills for ChatGPT.
They cover contracts, disputes & litigation, arbitration & ADR, corporate, regulatory, privacy, criminal, employment, property, tax, finance, insolvency, IP, startup, public law, research, investigations, and practice management.
Here's the Github repo:
https://github.com/rohasnagpal/legal-ai-skills
Who this is for: Practising lawyers, in-house counsel, and law students.
Jurisdiction: Most skills are jurisdiction-neutral and work anywhere. Skills that turn on Indian statutes are marked (India). Every skill is written to confirm the governing jurisdiction before it relies on any specific rule.
Florida has sued Netflix over its data-collection infrastructure, accusing the streaming giant of illegally accumulating massive troves of information on users to fuel its advertising business.
The lawsuit, filed in Florida state court on Wednesday, alleges Netflix deploys deceptive designs to keep subscribers engaged on the platform by maximizing continuous viewing, obstructing cancellations and deterring the use of privacy-protective settings, among other things.
Just because your data is stored outside the US does not mean US authorities cannot reach it.
Under the US CLOUD Act, a US cloud provider can be compelled to hand over data in its control, even when that data sits on servers outside the US.
So a foreign company storing customer data on domestic servers run by a US provider may still find that data reachable through US legal process.
Where your data is stored matters less than who controls it.
Just because your data is stored outside the US does not mean US authorities cannot reach it.
Under the US CLOUD Act, a US cloud provider can be compelled to hand over data in its control, even when that data sits on servers outside the US.
So a foreign company storing customer data on domestic servers run by a US provider may still find that data reachable through US legal process.
Where your data is stored matters less than who controls it.
Just because your data is stored outside the US does not mean US authorities cannot reach it.
Under the US CLOUD Act, a US cloud provider can be compelled to hand over data in its control, even when that data sits on servers outside the US.
So a foreign company storing customer data on domestic servers run by a US provider may still find that data reachable through US legal process.
Where your data is stored matters less than who controls it.
​
A lot of Legal AI tools are essentially wrappers around an LLM.
That is becoming harder to justify because the major LLM platforms are turning into powerful work environments themselves.
ChatGPT, Claude, Grok, Gemini, Amazon Q and others can increasingly:
Orchestrate complex tasks across multiple steps.
Call tools when they need external data or specialised functionality.
Search the web and work with documents, code and large amounts of context.
Use skills and plugins to add specialised legal workflows and expertise.
Use MCP and other integrations to connect with databases, repositories and external systems.
This changes the Legal AI equation.
Instead of building separate Legal AI tools, you can give a powerful general-purpose LLM the right skills + tools + data + instructions.
The LLM becomes the orchestration layer.
It decides what information it needs, which tool to call, which skill to use and how to combine the results into the final work product.
And the underlying models keep getting better.
That means a Legal AI product needs to add something genuinely difficult for the major LLM platforms to replicate: proprietary data, specialised infrastructure, unique workflows, trusted verification, deep integrations or another real moat.
Otherwise, it is simpler to teach the LLM how to do the job.
I've tried more than 50 Legal AI tools and wrappers. Most of them add a nicer interface, a few predefined workflows, and a legal label on top of capabilities that are already available in general-purpose AI.
For a large part of everyday legal work, I think there is a simpler alternative:
Use the right models of ChatGPT, Claude or Grok, with web search, strong skills / plugins, and the right prompts.
So before you spend on Legal AI solutions, try the simpler alternative.
Case Law Analyst is a Claude Agent Skill that turns judgments, orders, headnotes and case excerpts into litigation-ready case notes.
It is designed as a working document for lawyers preparing for a hearing, opinion, conference or research task.
Every authority is analysed in 10 parts:
Get it here: https://raw.githubusercontent.com/rohasnagpal/claude-skills/main/dist/case-law-analyst.zip
Read the details here: https://github.com/rohasnagpal/claude-skills/blob/main/skills/case-law-analyst/SKILL.md
I gave 9 leading AI models the 2025 All India Bar Examination. Same questions. Same settings. No access to the answer key.
The results:
GPT-5.6 Sol: 100.0%
Kimi K3: 97.9%
Grok 4.5: 97.9%
GPT-5.6 Terra: 93.7%
GPT-5.6 Luna: 92.6%
Claude Opus 5: 92.6%
Claude Sonnet 5: 81.1%
Claude Haiku 4.5: 73.7%
DeepSeek V4 Flash: 40.0%
The cost per run was:
GPT-5.6 Sol: $0.2134
Kimi K3: $0.3003
Grok 4.5: $0.3066
GPT-5.6 Terra: $0.1350
GPT-5.6 Luna: $0.0601
Claude Opus 5: $0.2611
Claude Sonnet 5: $0.0582
Claude Haiku 4.5: $0.0279
DeepSeek V4 Flash: $0.0030
The AI-powered judicial platform is designed to integrate artificial intelligence across multiple stages of judicial proceedings including:
Automated analysis of case files and legal documents.
Instant access to legislation and regulatory frameworks.
Rapid retrieval and comparison of judicial precedents.
AI-assisted legal recommendations and analytical reports.
Support in drafting legal memoranda and judicial documents.
Faster case processing and shorter litigation timelines.
Greater consistency in the application of legal principles.
Enhanced decision-making support without compromising judicial autonomy.
Claude Opus 5 answered 90 of the 95 scored questions correctly in the 2025 All India Bar Examination (AIBE), achieving an accuracy of 94.7%.
The AIBE tests whether a law graduate has the minimum level of legal knowledge expected of a practising advocate in India. That’s a meaningful benchmark for any model intended to assist lawyers.
For details on how the test was conducted, please see the detailed blog post: https://aibenchmarks.substack.com/p/claude-opus-5-scored-947-on-the-all
Claude Opus 5 scored 94.7% on the All India Bar Examination
