Litera sets a new standard for legal AI adoption
Litera just proved a simple idea: lawyers adopt AI faster when it lives inside the tools they already use and doesn't require new budget approvals. By embedding agentic AI into its drafting suite at no additional cost, the company saw usage surge across firms and in-house teams worldwide.
Litera One (native to Microsoft 365), its agentic assistant Lito, and the Kira AI workflow platform all posted record engagement since spring 2025. The takeaway is clear-practical, integrated, zero-friction AI wins.
What changed
While most providers treat AI as a premium add-on, Litera made it a core feature. No upsell. No new procurement cycle. Just immediate access inside existing workflows, including Microsoft 365.
The result: faster adoption, broader usage, and measurable output-not promises, but activity inside real matters.
Proof in the numbers
- 10x growth in monthly active cloud drafting users since spring 2025
- 26,000+ AI-powered document summaries generated
- 10,000+ document chat conversations in November alone
- 68% of new enterprise customers actively using the platform
- 2,000+ GenAI skills completed
Kira alone processed 4 million+ documents this year, with usage of generative smart fields growing over 160% month over month.
Awards that matter to legal teams
Industry recognition followed the adoption: Litera earned Best in AI for Legal Services & Compliance and Best in Large Language Models at the Global AI Awards, and Lito won AI Legal Assistant Solution of the Year in the 2025 LegalTech Breakthrough Awards.
Why this matters for firms and legal departments
Litera's approach reduces the two biggest blockers for enterprise AI-budget friction and workflow disruption. The platform lives where lawyers already work, so usage compounds quickly and quietly across teams.
According to CEO Avaneesh Marwaha: "By removing the cost barrier and including Lito as part of our drafting products, we've proven that lawyers are ready for AI-they just needed it integrated into tools they already trust."
The network effect in action
- Teams that start with summaries expand to chat and agentic workflows
- Firms report junior associates completing work previously requiring senior review
- Practice groups standardize on AI-augmented processes as a competitive edge
- IT teams favor simplified deployment with no new licensing complexity
How to put this to work now
- Start small: roll out document summaries on active matters, then add chat for QA and clause analysis.
- Define review guardrails: set thresholds for when human sign-off is required and what gets routed to seniors.
- Standardize templates: pair model documents with agentic workflows so outputs are consistent across teams.
- Measure what matters: track turnaround time, revision counts, and issue-spotting accuracy by matter type.
- Upskill fast: brief teams on prompts that map to legal tasks (summarize, compare, extract, propose redlines).
Looking ahead
Litera plans to maintain the no-additional-cost model for Lito through 2026, expand agentic workflows, and deepen Microsoft 365 integration. The strategy is straightforward: prioritize adoption, prove value in everyday drafting, and scale what works.
If you're building AI capability in legal
- Identify two high-volume use cases (e.g., summaries and playbook-based redlines) and operationalize them first.
- Codify outcomes: define "done" criteria for each AI-assisted task so reviews move faster.
- Create a feedback loop: log misses, update prompts/playbooks weekly, and broadcast wins to drive adoption.
Want structured learning paths for legal roles exploring AI? Explore curated options here: AI courses by job.
As Marwaha put it: "This isn't about charging more for innovation; it's about making our 30 years of legal experience exponentially more powerful through AI." For legal teams, that translates to faster drafts, cleaner reviews, and workflows that scale without adding headcount.
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