Litera relaunches as one legal AI platform for firms

Litera has relaunched its business around a unified legal AI platform, built around a single AI agent and a single dataset for law firms.

The Chicago-based company said the relaunch brings its products for legal work and law firm operations under one platform vision. It is building that strategy around Lito, its AI agent, alongside its broader software portfolio.

Litera has spent three decades supplying software to large law firms and says it now serves more than 15,000 customers globally. It also says it has more than 1 million daily users and works with 99% of the Am Law 100.

The relaunch comes as legal technology suppliers seek to expand their role inside firms beyond drafting tools and narrow AI features. Litera argues that firms increasingly want AI to work across legal workflows, knowledge systems, and client development rather than sit in separate products.

According to the company, the new positioning follows Lito's first year on the market. It also coincides with a broader rollout of Foundation 365, now deployed across five of the 10 largest law firms in the world, Litera said.

Platform push

At the core of the strategy is Litera's claim that one AI agent can work across different parts of a law firm without separate logins or data environments. Lito is embedded in Microsoft 365 and Google Workspace and can be used for drafting, document comparison, contract review, institutional knowledge, and client development, according to the company.

Litera said 70% of active Litera One accounts already use Lito. That suggests it is using its installed base to drive adoption of newer AI products rather than relying only on new customer wins.

Another pillar of the relaunch is accuracy in high-risk legal and commercial work. Litera pointed to its long-established document comparison technology, saying its redlining system is rules-based and deterministic rather than reliant solely on probabilistic large language models.

That distinction matters in legal practice, where firms have been cautious about applying generative AI to core tasks without clear controls and predictable outputs. Across the sector, suppliers have sought to reassure customers by combining language models with structured legal data and established workflow tools.

Business side

Litera is also emphasizing software for the commercial side of law firms. Foundation and Foundation 365 are positioned as tools for institutional knowledge and client relationship management, built on Microsoft Dynamics 365.

The company presented that part of the business as an alternative to generic customer relationship management systems and software focused only on orchestration. Its argument is that legal partnerships need systems designed around how firms manage relationships, business development, and shared knowledge.

"Every AI startup in legal is selling a feature," said Avaneesh Marwaha, Chief Executive Officer, Litera.

"We're selling the platform those features run on. The practice of law and the business of law have run on separate systems for as long as firms have existed. That ends here: one agent, one dataset, every partner, associate, and business development lead working from the same intelligence," said Marwaha.

The relaunch also marks a broader corporate rebranding, with a refreshed website and a new brand campaign. But the substance of the shift lies in Litera's effort to present itself less as a collection of legal software products and more as an integrated AI and data platform for firms.

That approach reflects a broader competitive trend in legal technology. Established vendors and newer entrants alike are trying to become system-wide providers by linking drafting, review, knowledge, and business development tools to common data layers.

For incumbent suppliers such as Litera, the advantage lies in an existing customer base and products already embedded in daily workflows. For newer AI-focused companies, the challenge has often been moving beyond point solutions into platforms firms trust with high-value work and sensitive information.

Adam Ryan, Chief Product Officer, Litera, described that view in blunt terms.

"AI is table stakes. Trust is the moat. You can't retrofit years of deterministic accuracy, and you can't pilot your way into the Am Law 100," said Ryan.