Five stories. One move that changes who the competition even is.

Last week Kirkland decided to build above the model layer. This week the model layer moved up to meet it: OpenAI formally entered legal, hired Ironclad’s Jason Boehmig, and teed up a ‘Codex for Legal’ — making three frontier giants now chasing the work itself. The decisive fight isn’t features anymore. It’s the plumbing (MCP becoming the standard that wires agents into the DMS) and the meter (token costs rising as legal work goes agentic). Underneath, the risk ledger keeps growing — 700+ filings with fabricated AI citations — and the capital map points to the one open lane: the underfunded defense side. The middle of the market is being squeezed from above.

OpenAI enters legal, hiring Ironclad’s Jason Boehmig

OpenAI has formally entered the legal vertical, bringing on Jason Boehmig — founder of contracting platform Ironclad — to lead product, and teeing up a ‘Codex for Legal.’ A frontier lab is no longer content to sell the model under someone else’s workflow. It wants the workflow.

That makes three frontier giants — OpenAI, Anthropic, and Microsoft — now competing directly for legal work. The squeeze lands on the middle: Harvey and Legora raised at $11B and $5.6B to build the layer the model companies are now building themselves.

[ Artificial Lawyer · OpenAI Targets the Legal Vertical – What Happens to Legal Tech? ]  [ Artificial Lawyer · OpenAI Plans ‘Codex For Legal’ ]

MCP is becoming the standard that decides legal AI’s future

The fight one layer down is about plumbing. Model Context Protocol closes the ‘context gap’ and the ‘action gap’ — letting an agent read from and act across the disconnected systems a firm actually runs on, instead of a lawyer copy-pasting between them. iManage shipped an MCP server; NetDocuments is following.

Whoever’s plumbing becomes the default owns where every agent reads and writes — which is why the DMS vendors are racing to be it. The model is rarely the bottleneck anymore. The wiring is.

[ Artificial Lawyer · MCP: The Standard that Decides Legal AI’s Future ]

Legal AI has a growing token-price problem

Agentic legal work — repeated document reads, more reasoning, longer chains — burns far more tokens than a single prompt, just as OpenAI and Anthropic raise frontier-model prices. The result is a margin squeeze that vendors are answering with fine-tuned open models and routing cheaper tasks to cheaper models.

The practitioner thread on r/legaltech reads the same signal from outside legal: Uber capping per-dev token spend, Sam Altman calling token costs ‘a huge issue.’ The meter is now a line item in every legal-AI business model.

[ Artificial Lawyer · Legal AI Has A Growing Token Price Problem ]  [ r/legaltech · Legal AI has a growing token price problem? ]

AI-hallucination cases pass 700, with five-figure sanctions

Courts worldwide have now logged more than 700 filings containing fabricated AI citations, with new cases documented at several a day and sanctions topping $100K. The Ninth Circuit went further: for two years, sanctioned attorneys and everyone at their firm must certify, under penalty of perjury, whether generative AI was used and that a human verified every citation.

No matter who builds the tool — OpenAI, Anthropic, a DMS vendor, or the firm itself — the duty to verify stays with the lawyer who signs. The faster the tooling gets, the more that signature is the only safeguard left.

[ Corporate Compliance Insights · AI Risk in 2026: 3 Critical Changes for the General Counsel ]  [ r/legaltech · Ninth Circuit draws the line on AI briefs ]

The next funding lane: defense-side legal AI

Where the giants compete, the capital map shows the open lane. Plaintiff-side legal AI has captured roughly 71% of disclosed legal-AI funding — about $682M — while the defense side remains dramatically underfunded despite serving large enterprise buyers with fragmented systems and no entrenched category leader yet.

It is the textbook setup for the next wave: a big market, measurable pain, improving feasibility, and open ground. The giants will own the broad horizontal. The next venture returns may come from the side of the ‘v.’ nobody funded.

[ Crunchbase News · Investors Have Poured Billions Into Plaintiff-Side Legal AI, But Defense Could Be The Next Big Opportunity ]

For two years the question was which legal-AI product wins. This week the question changed: when the companies that make the models decide to sell the work, the product layer is no longer competing on features — it’s competing for its own existence. The giants own the horizontal. What’s left to own is the plumbing, the meter, and the one lane — the defense side — nobody has funded yet. – The Editors▌

Exhibit AI reports on the AI industry. We do not provide legal advice. Sponsorships are disclosed and never shape coverage. Issue N°008 published MON 08 JUN 2026.