LTH Product Briefing - Harvey 2026 Update

Legaltech Hub
Legaltech HubMar 26, 2026

Why It Matters

Harvey’s expanded workflow automation and governance features let law firms accelerate drafting, ensure compliance, and capture more value from AI without sacrificing auditability, reshaping the economics of legal service delivery.

Key Takeaways

  • Harvey now includes customizable workflow builder for end‑to‑end automation.
  • Integrated Microsoft Word, Outlook, and mobile app streamline legal drafting.
  • Vault stores up to 100,000 documents per project with OCR.
  • Model‑agnostic AI makes up to 100 model calls per prompt.
  • Built‑in governance tracks client matter numbers and version history.

Summary

The Legal TechHub briefing introduced the 2026 iteration of Harvey, the firm’s AI‑powered legal assistant, highlighting a suite of new capabilities aimed at turning the platform into a fully integrated, end‑to‑end workflow engine for law practices. Hosted by CEO Nikki Shaver and legal engineering manager Amanda Satsis, the session walked through enhancements that go beyond the earlier demo, emphasizing tighter Microsoft Office integration, a mobile app, and a robust document repository called Vault.

Key innovations include a visual workflow builder that lets users automate repetitive tasks, embed precedent documents, and even generate workflows from plain‑language prompts – a feature dubbed “words to workflows.” The Vault can ingest and OCR up to 100,000 files per project, linking each to the AI’s assistant for instant querying across internal and external sources such as Lexis Nexis. Under the hood, Harvey’s model‑agnostic orchestration layer can fire up to a hundred model calls per query, selecting the best‑performing model based on lawyer‑validated benchmarks.

During the demo, Amanda showed how a user can upload a brief, pull relevant case law from Lexis Nexis, and receive a draft with hyperlinked citations that can be edited directly in the platform. The interface supports track‑changes, version history, and granular governance controls that require client‑matter numbers for every query, enabling firms to blacklist sensitive matters and maintain audit trails. The ability to classify and extract data across thousands of documents—such as flagging change‑of‑control provisions—demonstrated the platform’s scalability.

For law firms, these upgrades translate into faster document creation, reduced reliance on manual research, and tighter compliance oversight. By embedding AI within familiar tools like Word and Outlook while providing enterprise‑grade data management, Harvey positions itself as a productivity catalyst that can lower billable hour waste and improve the quality of legal output.

Original Description

Harvey is an AI platform for legal and professional services that has evolved rapidly since its launch, reflecting broader advances in large language models (LLMs) and enterprise AI infrastructure. Initially built on top of a single foundational model, the platform has transitioned into a multi-model, orchestration-driven system designed to support a wide range of legal workflows.

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