By Greg Ingino, Chief Technology Officer, Litera This is Part 3 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. Part 2 walked through the Mates program, the system of purpose-built agents that automates the full lifecycle from idea to market. Here, I'll share...

Summary Litera Clean+ is a cloud-hosted, server-class metadata cleaning solution for law firms. It enforces firm-wide metadata policy centrally at the exchange layer across classic Outlook, new Outlook, Outlook for Web, and Outlook for Mac, with Litera managing all the infrastructure behind it. Built on the same deterministic, rules-based engine that 42% of the market...

Summary GPT-5.6 Sol and GPT-5.6 Terra are now available in Lito, the award-winning Legal AI agent, and they're built for different kinds of legal work. Sol is OpenAI's flagship model, optimized for complex, high-stakes tasks. Terra is designed for focused, well-scoped everyday work. Litera's Legal Knowledge Engineering team, composed of former practicing lawyers across...

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...