Key points:
- LexisNexis has opened a commercial preview of its Protégé AI workflows ahead of a broader release later this year.
- The workflows span litigation, transactional work and day-to-day legal operations, with no-code customization.
- The move reflects growing competition to define AI-native legal workspaces for firms and corporate legal teams.
LexisNexis is moving closer to an end-to-end AI-driven legal workspace with the launch of a Commercial Preview Program for its new Protégé AI workflows, according to an announcement covered by Legaltech News.
The workflows, which are expected to reach general availability later this year, are designed for use across law firms and corporate legal departments. They span litigation, transactional work and broader legal operations, and are paired with no-code tools that allow users to tailor prebuilt workflows or design their own.
The litigation workflow includes drafting motions and depositions, extracting facts, identifying relevant cases by fact pattern or legal concept, and comparing arguments or laws across jurisdictions. Transactional capabilities focus on contract review, risk identification, redlining against internal playbooks, and drafting agreements or clauses.
LexisNexis is also offering broader workflows aimed at daily legal tasks such as timeline extraction, interview transcription and summarization, and drafting client alerts. Additional practice-specific workflows are planned for areas such as mergers and acquisitions and real estate, including tools that review purchase agreements and summarize deal impacts.
Alexandra Smyth, executive vice president and general counsel at LexisNexis Legal and Professional, said the company envisions Protégé as a central hub for legal work. “We've always sort of thought that Protégé would become the place where lawyers do all their work,” she told Legaltech News, describing it as a complete, end-to-end workspace.
A key component of the rollout is a no-code workflow builder that allows users to select their preferred large language model and create multi-step workflows that can be shared across teams. LexisNexis is also developing more advanced agentic AI workflows capable of executing complex tasks using a combination of proprietary LexisNexis data and customer-provided context.
The preview program, set to begin in February, will run for about a month and is intended to gather customer feedback before a wider rollout. LexisNexis said the approach reflects its broader product development strategy of iterating closely with users.
