New AI tools help law firms find internal expertise, strengthen client relationships, and uncover revenue opportunities
Nashville, Tenn., 25 August 2026 – Law firms have access to enormous amounts of information, from past matters and client records to professional expertise and relationship histories. Yet much of this knowledge remains spread across different systems, making it difficult for lawyers and business development teams to find the right information when they need it. Litera is addressing this challenge with new artificial intelligence capabilities designed to make firm knowledge easier to access while helping firms identify potential business opportunities.
The legal technology company has introduced Firm AI Search through Lito, its Legal AI agent, giving lawyers a conversational way to search their firm’s matter, client, and expertise data. The new capability connects information from Foundation, matter management systems, and expertise databases, allowing users to find relevant information without having to search multiple platforms.
The idea is simple. Instead of navigating several databases to discover whether a firm has handled a similar case, worked with a particular client, or has experience in a specific industry, lawyers can ask questions using natural language. Lito can then surface relevant information through a single interface. Lito Lookups also allow users to access matter, client, and people records through simple mentions within chat.
For law firms, this can make institutional knowledge more useful in everyday work. Information that may previously have been difficult to locate can become easier to use when preparing client proposals, responding to opportunities, or finding colleagues with relevant experience.
Litera is also expanding its focus from knowledge management to business development. Its GrowthTech platform brings together experience data, relationship intelligence, engagement signals, and marketing activity to help firms identify where they may have the strongest opportunities for new business.
One of the new capabilities uses email and calendar metadata to identify relationship trends and patterns without accessing the actual content of messages. This can help firms understand which relationships are strong, which may be weakening, and which could require greater attention. When combined with client and matter information, these insights can give business development teams a clearer picture of where the firm is well positioned to engage.
Another important development is the addition of monetary value to business development signals. Instead of treating every potential opportunity equally, firms can use historical metrics and financial data to understand which opportunities could have greater value. This can help teams prioritize their efforts and focus resources where they are most likely to generate results.
Litera has also introduced Proactive Cleanse, which helps firms keep customer relationship management data accurate as people change companies, roles, titles, and contact details. The company says the capability can achieve 80 to 85 percent accuracy and capture rates, compared with about 30 percent from email signature scraping alone.
The developments reflect a broader shift in Legal AI. Artificial intelligence is increasingly moving beyond document drafting and review toward areas such as knowledge management, client intelligence, relationship management, and law firm growth.
With more than 15,000 global customers and over one million daily users, Litera is positioning its latest tools as a way for firms to connect their existing data with practical business decisions. The larger opportunity is not simply having more data, but making that data easier to understand and act upon. For law firms looking to improve client service, strengthen relationships, and discover new revenue opportunities, AI-powered business intelligence could become an increasingly important part of the modern legal technology landscape.
