Legal AI had another nine-figure month, with this past week Stockholm-based Legora announcing a $550 million Series E at an $8.8 billion post-money valuation, about seven months after a Series D that valued it at $5.6 billion.
This past month, industry heavyweight Harvey had announced its own $550 million round.
As an industry, legaltech companies pulled in more than $1 billion this past quarter alone, according to Law360’s analysis.
The money is following client pressure. According to Reuters, almost a third of corporate legal professionals said they are reconsidering outside firms that cannot show clear AI-enabled value within 12 months. Seventy percent expect productivity gains from their firms, yet only 6% believe most of those firms are delivering them.
Document review is where that shift gets hardest to ignore. A single matter can produce millions of emails, attachments, spreadsheets and someone has to decide which of them matter.
For decades that job fell to contract attorneys working through a review queue, sourced through staffing agencies.
Altorney has built part of its business around the people side of that work. Its legal workforce platform connects law firms, ALSPs and corporate legal teams directly with vetted contract attorneys and document reviewers.
As AI changes what review teams spend their time on, the company is betting the way those teams get hired is due for an update too.
Posted at nine, staffed by morning
“Legal matters often create two constraints at once: more information than a team can analyze efficiently and more work than the available team can execute,” said Altorney founder Shimmy Messing. The workforce platform is aimed squarely at the second.
The usual route to more hands runs through a staffing agency, and the friction is familiar to anyone who has staffed a review on deadline.
Altorney takes the agency out of that sequence. A legal team posts a project with its requirements, budget and timeline, and qualified reviewers apply to it directly before the team decides who joins. The platform filters candidates by specialization, experience and availability, runs conflict checks automatically and handles onboarding through eSign, so the paperwork that usually eats the first few days happens in the background.
Once the review is running, the work stays in one place. Teams can favorite strong reviewers and invite them back for the next matter, which over time gives a firm something an agency rarely hands over: a bench of its own.
Pricing a client can read
Cost is where the agency model draws the most complaints, and it is where Altorney is most specific. The company frames its approach as clear pricing in place of agency math, with no hidden fees layered on top of a reviewer’s rate.
The pricing is simple enough to put in a budget memo. “Clients typically save approximately 40% compared with traditional staffing-agency models, while gaining direct visibility into talent, time, budgets, performance, and project progress,” according to Messing.
That itemized approach lines up with what in-house buyers have been asking for.
The timing matters because AI-assisted review still depends on people. In the Secretariat and ACEDS survey, concern about hallucinations climbed to 46% of respondents, behind only data privacy and confidentiality at 57%.
Firms that use AI to sort a collection still need trained reviewers to check its calls, catch privilege issues and stand behind the production.
Trust decides how far this goes
Legal work holds outside help to a stricter standard than most industries moving toward on-demand talent. A misjudged document can put a privileged email in front of opposing counsel, and a reviewer with an undisclosed conflict can taint a matter.
Any platform that hands client data to outside reviewers has to show that both its people and its systems can be trusted. In June, Altorney announced it had achieved ISO/IEC 27001 certification, adding to its existing SOC 2 Type II compliance.
The largest checks this autumn went to AI software, and they will keep going there. The matters that software touches still need people, though, and the way those people get hired hasn’t changed much in decades.
Altorney is one of the companies betting the hiring layer is due for the same scrutiny the software layer is getting. If the bet pays off, a firm handed a new matter on a Monday could have a vetted, conflict-checked review team working by Tuesday, with visibility for every client.
