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How I Breakdown New Companies/Solutions to Understand the AI Market
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NEWS & BLOGS
Research, analysis, and perspectives from the team building the future of legal work.
From our Head of AI
Research essays by Devansh, our Head of AI.
Jun 2026 · 8 min read
Why legal AI needs traceable work product, matter-level audit trails, source-backed answers, and repairable workflows instead of confident black-box output.
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Jun 2026 · 10 min read
Why legal AI systems need matter memory, structured work state, source-backed context, and durable review trails instead of prompt summaries.
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Jun 2026 · 6 min read
DeepMind's AlphaEvolve shows why serious AI needs evaluation, memory, and reviewable state, and why legal AI must translate that lesson into matter-centric work product.
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Legal AI insights, product updates, and research — delivered to your inbox.
67 results

How I Breakdown New Companies/Solutions to Understand the AI Market

Legal work never lived in one place. Now it can. Workbench, now generally available, reads your matter into an Insights Map, then researches, drafts, redlines, and pulls in the apps you already use.

We raised a 4B model’s accuracy from 32% to 72% without training or fine-tuning.
![How Rubric-Based Rewards Could Push AI Beyond Math and Code [Guest]](/_next/image?url=https%3A%2F%2Fsubstackcdn.com%2Fimage%2Ffetch%2F%24s_!87xa!%2Cf_auto%2Cq_auto%3Agood%2Cfl_progressive%3Asteep%2Fhttps%253A%252F%252Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%252Fpublic%252Fimages%252Fab9b43fb-52d5-40da-995d-5b7cd3f91064_896x896.png&w=3840&q=75)
Why the next frontier of reinforcement learning depends on teaching models what “good” means in subjective, open-ended tasks.

The geometry behind chain-of-thought, reasoning failures, and the paths models take to an answer.

What Fable 5, the Space X IPO, and other major events taught us about the space-- June 2026 AI Market Report.

You stopped practicing law and became the glue between your apps. Workbench, now in beta, is an AI teammate that uses your tools, does the work, and brings it back to your case.

How you can use Irys's AI platform to get much better results in your legal work

A map to the failure points in Generative AI, and What You should Do to Fix them
![Will AI Destroy Your Jobs [Livestreams]](/_next/image?url=https%3A%2F%2Fsubstackcdn.com%2Fimage%2Ffetch%2F%24s_!V7Tt!%2Cw_1456%2Cc_limit%2Cf_auto%2Cq_auto%3Agood%2Cfl_progressive%3Asteep%2Fhttps%253A%252F%252Fsubstack-post-media.s3.amazonaws.com%252Fpublic%252Fimages%252F6e291d29-2d0e-4bbe-a16b-42551f161820_485x293.png&w=3840&q=75)
Martin Ford on Why Jobs Break From Consolidation, Not Robots

How fossil-fuel financing, lobbying, greenwashing, and weak regulation keep climate action stuck.

Understanding GLM 5.2 Beyond the Headlines

A guide to the most powerful (and most misunderstood) AI system on the planet

Three updates are live: Workspaces organize your practice, Tasks and Ask Irys are built into every matter, and a redesigned Library connects documents to the tools that handle them.

Why SpaceX's $1.77 trillion IPO will be force-purchased by your retirement fund , and what you can still do to stop it

How to Tell If an AI Project Is Actually Worth Shipping

Most legal AI rereads your matter from scratch every time. We built Stateful Swarms to read once, remember, and query cheaply — 39x lower cost and stronger results on Harvey’s benchmark.

How Irys beat Harvey AI and Anthropic on the Legal Agent Benchmark (1.7x performance with 39x lower cost)

Goodhart's Law is impacting AI across the board.

Why You Should Read: James Wang.

How AI is eating itself, and what an Old German Philosopher can teach us about Contrarian Bets

The physics behind wafer-scale AI chips, why they make LLM decode faster, and why capacity, software, and unit economics may still decide the company’s fate.

We’ve been using flat-earth math to navigate warped AI models. Here is the geometric fix.

It takes time to create work that’s clear, independent, and genuinely useful.

In a World with Claude Code, OpenClaw, and a hundred spinoffs, which AI Subscription Is Worth Paying For in 2026 ?

Harvey starts at $300K. Legora at $30K. For roughly 95% of US law firms, neither is even reachable. The actual choice is Claude DIY vs. a legal-native platform. Here is the math.

Why Changing from Autoregressive Language Models to Diffusion Models will change AIs hottest problems

Most legal AI gives answers. This AI legal research tool shows the investigation behind them.

Breaking down the architectural decisions Google made — and why edge and server models are built on opposite logic.

Legal AI for solo lawyers isn’t the same as enterprise tools. Here’s what actually matters when choosing a legal AI platform.

A primary-source investigation for developers and security researchers who want the real story about what the Data says about Mythos

Legal AI is scaling fast, but not always for small firms. Here’s what BigLaw platforms mean for AI for lawyers.

Every case handoff loses context. Here’s why legal work breaks across transitions and how a legal AI platform fixes it.

AI Market Report March 2026: Google’s price war, America’s shadow-banking energy play, and why the whole AI stack just fractured into four industries — each with different economics.

Most law firm AI tools fail before the work begins. Here’s how legal AI actually handles real case records.

Saleforce TDX, Google Cloud Next and more..

Lawyers work in Word. Starting today, the full Irys sidebar lives directly inside Microsoft Word.

Featuring insights from Andrew Ng, Terence Tao, Yann LeCunn, and many other top researchers on how they use AI for better gains

Legal AI just changed: courts now care how your AI handles data, not what it produces.

Document-level legal AI helps with drafting, but breaks at deal complexity. Why AI for lawyers must move beyond single-document workflows.

Most legal AI tools rely on chat. But legal reasoning depends on continuity, and continuity depends on matter context. Here’s why chat-based tools fail without it.

From Societal Bottleneck to High-Yield Infrastructure

What Apple, GitHub Copilot, and legal AI reveal about how incumbents lose paradigm shifts
![How a Leading Venture Capitalist uses AI Agents [Guest]](/_next/image?url=https%3A%2F%2Fsubstackcdn.com%2Fimage%2Ffetch%2F%24s_!-M8X!%2Cf_auto%2Cq_auto%3Agood%2Cfl_progressive%3Asteep%2Fhttps%253A%252F%252Fsubstack-post-media.s3.amazonaws.com%252Fpublic%252Fimages%252F2c03f2eb-10cb-4fa0-94b3-e79c07f6c9c1_256x256.png&w=3840&q=75)
A skeptic’s field guide to building personal agents that are powerful, practical, and safe

How Liquid AI built the Best Edge AI Model in the World. And what this reveals about the next wave of model design.

Understanding why Reasoning Models are Different from Normal LLMs and How to Prompt them.

A practical look at how debugging workflows, metrics, and automated runbooks are used to investigate slowdowns and failures in large-scale model training.
![Earth Scientist Tells You How Your Land Is Lying to You [Livestreams]](/_next/image?url=%2Fimages%2Fblog-11.png&w=3840&q=75&dpl=dpl_2X93Q1HSqgRXSznvVN8rELwCtwPA)
How AI turns weeks of GIS work into 10 seconds of queries

A clear guide to the new architectures battling the transformer’s memory and inference bottlenecks.

How labs differentiate when models converge, what AI coding tools actually change, and why the backlash against AI became a market force

How Mass AI Surveillance and AI Weapons Systems Can Threaten Our Freedom
![Most Important AI Updates of the week. Feb 16th 2026-Feb 22 2026 [Livestreams]](/_next/image?url=https%3A%2F%2Fsubstackcdn.com%2Fimage%2Ffetch%2F%24s_!qCU8!%2Cw_1456%2Cc_limit%2Cf_auto%2Cq_auto%3Agood%2Cfl_progressive%3Asteep%2Fhttps%253A%252F%252Fsubstack-post-media.s3.amazonaws.com%252Fpublic%252Fimages%252F2352a158-b110-4fd2-95a2-0dd5c06ad763_2208x2208.jpeg&w=3840&q=75)
why AI benchmarks are failing and more

From FLOPs to GPUs to KV Cache — What Every Token Actually Costs

How to teach yourself AI- for technical folk

A deep dive into hierarchy and why present AI systems are missing it.
![Why Silicon Valley Got Industrials Wrong [Livestreams]](/_next/image?url=https%3A%2F%2Fsubstackcdn.com%2Fimage%2Ffetch%2F%24s_!J8-w!%2Cw_1456%2Cc_limit%2Cf_auto%2Cq_auto%3Agood%2Cfl_progressive%3Asteep%2Fhttps%253A%252F%252Fsubstack-post-media.s3.amazonaws.com%252Fpublic%252Fimages%252Fb51977d4-15a3-46b6-bbda-05c1a2d3b24b_1608x1848.png&w=3840&q=75)
Meet Philipp Wehn, the a16z Founder using AI to improve Heavy Industries.
![Inside Zhipu: How One of China’s AI Tigers Thinks About Building Models [Livestreams]](/_next/image?url=https%3A%2F%2Fsubstackcdn.com%2Fimage%2Ffetch%2F%24s_!0Df5!%2Cw_1456%2Cc_limit%2Cf_auto%2Cq_auto%3Agood%2Cfl_progressive%3Asteep%2Fhttps%253A%252F%252Fsubstack-post-media.s3.amazonaws.com%252Fpublic%252Fimages%252F27a82974-9043-49e2-956b-2cb71e0bf711_2614x2614.jpeg&w=3840&q=75)
A candid conversation on tradeoffs, scale, and what actually matters.

How verification costs, retention curves, and stateful systems are reshaping where value accumulates

Databricks, Sakana AI, Radix, and why Investors are rushing to invest in Open Source AI

A deepdive into the Metaverse, Open Source, and how Meta is tackling their biggest challenges.
![Meet Wafer: The YC Startup Making GPUs 5x More Efficient with AI [Livestreams]](/_next/image?url=%2Fimages%2Fblog-13.png&w=3840&q=75&dpl=dpl_2X93Q1HSqgRXSznvVN8rELwCtwPA)
What are Kernels and Why writing them better can improve GPU usage by 5x.

Irys today announced the general availability of Irys Prime, its matter-aware legal intelligence platform that delivers jurisdiction-grounded retrieval, full audit provenance, and AI-assisted drafting designed to meet professional responsibility standards.

Most legal AI tools conflate finding relevant cases with knowing what to do with them. Irys draws a deliberate architectural boundary between the two. and it changes everything about how lawyers can trust AI in practice.

In a new analysis, Irys founder Sabih Siddiqi argues that the current legal AI market is built on a fundamental architectural mistake. and explains what it would take to build the category correctly.

Chat interfaces gave us a taste of what AI could do for legal work. But a conversation is not a matter. The next generation of legal AI has to be organized around how lawyers actually work. and that means building around the matter, not the message.

As bar associations across the country issue updated guidance on AI use in legal practice, Irys outlines how the platform was designed from the ground up to address the competence, confidentiality, and accountability obligations that govern attorney conduct.

The legal AI market has bifurcated into thin wrappers on general models and raw API access for sophisticated teams. Neither is sufficient. Law needs a purpose-built infrastructure layer. and the firms that understand this earliest will have a durable advantage.