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Sell the Shovel, or Dig the Mine: What Y Combinator Is Betting On in Legal Now
Published 08-20-2026
Until a year ago, legal tech's goal was to make lawyers faster. This year, a new class of startups is aiming higher—rebuilding legal practice around agents instead of associates. Here’s a look at the founders redrawing the line between legal software and legal services, and why the incumbents may be structurally unable to follow.

Deposely Rebrands as Litem, Expanding Beyond Depositions into Litigation Intelligence
Published 08-19-2026
Deposition intelligence platform Deposely has rebranded as Litem. Named for the Latin word for lawsuit, Litem’s new identity reflects an expansion from solely focusing on depositions to embedding itself into the full discovery record, from documents through testimony. The pivot takes the company’s product experience in the market and applies it beyond a single proceeding to impact the entire litigation lifecycle.

For Europe's Law Firms, the Challenge Isn’t Accessing AI, It’s Operationalizing It
Published 08-18-2026
For the last three years, the defining question inside European law firms was whether to adopt artificial intelligence. Today, that question has largely been answered. New data from the European Law Firms and Legal AI 2026 survey (LTH–Lexpo 2026 Survey), conducted jointly by Legaltech Hub and Lexpo, points to a new, harder question law firms are grappling with: how to turn AI that is already deployed into AI that actually changes the economics of the business.

New Research Finds Context Makes AI Better - and Cheaper
Published 08-18-2026
New research and a legal context engineering benchmark reveal that providing AI models with context about the work they are asked to do not only increases model accuracy but can also decrease token cost through substantially better efficiency.

LTH Product Briefing – ezBriefs 2026 Update
Published 08-18-2026
ezBriefs is a litigation drafting tool from Benchly that automates cite checking, hyperlinking, and table of authorities creation directly within Microsoft Word, pairing a proprietary case law database with a rules-based citation engine built and maintained by a dedicated team of subject matter experts. In a recent interview, Haydn Jones, VP of Strategy at Benchly, discussed the problems ezBriefs solves, its key use cases, and what differentiates it in the market.

The Meter Meets the Matter: AI Costs and the Future of Legal Pricing
Published 08-17-2026
For years, buying legal AI meant buying seats—flat annual subscriptions that priced predictably regardless of use. That model is now under real strain. As AI platforms take on more autonomous work, the cost of running them has become far more variable, and vendors are beginning to price accordingly. At the same time, corporate clients are pushing in the opposite direction, asking for fixed fees and predictable spend on AI-assisted work. This piece traces the squeeze that opens up between those two shifts, why it is showing up in real invoices, and what firms can do about it.
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