What is the best AI tool for enterprise knowledge search in 2026?
Glean ranks highest for enterprise knowledge search with an SFR of 7.4. It connects across fragmented SaaS ecosystems — Slack, Drive, Notion, Salesforce, Confluence — and surfaces contextually relevant results without requiring employees to know where information lives. That cross-stack unification is what separates it from point solutions.
How is AI-powered enterprise search different from traditional search tools like SharePoint or Elasticsearch?
Traditional enterprise search indexes documents and returns keyword matches. AI-powered search understands intent. It knows that 'Q3 pricing deck' and 'latest pricing strategy' are the same question, surfaces the right document even if it was shared in a Slack thread, and learns from behavior over time. The gap in time-to-answer is measurable in minutes per query.
Is Glean suitable for legal or compliance-heavy enterprises?
Glean handles cross-tool knowledge discovery well, but legal teams with high-volume contract research and due diligence workflows should evaluate Harvey AI alongside it. Harvey AI (SFR 7.8) is purpose-built for legal knowledge retrieval and reasoning — not just surfacing documents, but extracting and analyzing their substance. Stack them by use case.
What should enterprises evaluate before buying an AI knowledge search tool?
Three questions matter most: First, how many source integrations does it support natively — every connector gap is a blind spot. Second, how does it handle permissions — surfacing documents employees shouldn't see is a compliance liability. Third, does it support natural language queries or just keyword search? Tools that fail on any of these become shelfware within six months.
