Summary This post explains the two most common legal AI pricing models: fixed, predictable pricing and consumption-based (metered) pricing. It covers what separates fixed pricing from consumption-based pricing, and why that difference has a bigger impact on legal teams than most buyers anticipate. It also introduces RoAI, the framework that measures the full return on AI...

Part 2: The Mates Program R&D performance, Q1 FY2025 through Q2 FY2026 By Greg Ingino, Chief Technology Officer, Litera This is Part 2 of a three-part series on how Litera transformed its R&D organization over the last 18 months. Part 1 covered the adoption arc and the headline business outcomes. Here, I'll go deeper on the Mates, the system of purpose-built agents that...

Summary To choose a metadata cleaning solution for your law firm, evaluate three things: accuracy (deterministic vs AI), scope (metadata cleaning vs data loss prevention), and deployment (desktop, cloud, or server). Rules-based metadata cleaning is the safer choice for legal work because it applies your firm's policy with certainty and produces the same result every time...

Part 1: The Case for Change R&D performance, Q1 FY2025 through Q2 FY2026 By Greg Ingino, Chief Technology Officer, Litera Eighteen months ago, I walked out of an Hg conference in Silicon Valley knowing that how we built software was about to change completely. We had just seen a demo of Cognition's Devin, the AI coding agent, and what followed has been one of the most...

Summary To remove metadata from email attachments in Outlook, open the Litera tab, clean with one click, and the attachment goes out without its hidden history. Litera detects risk automatically across classic Outlook, new Outlook, Outlook for Web, and Mac, flagging tracked changes, unresolved comments, and other hidden data before the email leaves Outlook. As Litera's...

Summary The Legal Knowledge Engineering team at Litera evaluated both Claude Sonnet 5 and Claude Fable 5 on legal tasks inside Lito, the award-winning Legal AI agent from Litera. All are former practicing lawyers across multiple jurisdictions and practice areas. Sonnet 5 is the faster, more responsive choice for pace-sensitive work like checking provisions and working...

AI Summary AI in legal RFPs creates exposure that most technology sections weren't drafted to find. General counsel updating outside counsel AI guidelines should expand the RFP technology section to cover three exposures beyond data security. The first is AI hallucination risk under ABA Model Rules 1.1, 1.6, 3.3, and 5.3. The second is privilege and confidentiality loss...

AI Summary Legal AI adoption inside corporate legal departments has surged past 78%, but actual daily use lags far behind. Most Legal AI tools for in-house teams sit idle within months of purchase. A single hallucinated citation or misread clause is often enough to kill lawyer confidence across the team, and nobody opens the tool again. This guide covers why Legal AI fails...

AI Summary This post is for GCs and senior M&A counsel at Fortune 500 and private equity firms evaluating their due diligence process. Generalist AI tools create material accuracy risk in high-value contract review, and these risks rarely surface until after a deal closes. Readers walk away knowing where that risk sits in their diligence workflow and what to ask outside...