Because Probable Isn’t Proven: High-Stakes Work in an Age of AI

AI mistakes grow riskier toward the end of a matter because each stage builds on the last. A probable answer that is tolerable in a first draft becomes a liability in a redline, a redaction, or a closing set.

A redline misses a changed indemnification clause. A redaction leaves privileged metadata in the file. A closing set goes out built on the wrong executed version. Each output looked finished. None was checked closely enough, and by the time anyone notices, the work carries the firm’s name.

As Generative AI (GenAI) moves deeper into the practice of law, accountability stays with the lawyer. The consequences land on lawyers and firms, not on the tools they used. Clients notice, and a firm that can’t stand behind its outputs puts its client relationships and its next matter at risk.

Litera is trusted Legal AI that best unifies the practice and business of law. Built on 30 years of legal expertise, it combines purpose-built, proprietary and generative AI so lawyers get speed without sacrificing confidence in high-stakes work. Litera Compare shows the difference, with its proprietary redline algorithm delivering more accurate document comparison than general-purpose LLMs. Kira brings the same legal-first approach to contract review, combining traditional search, 1,400+ built-in smart fields trained with 45,000+ lawyer hours, and generative AI to deliver consistent, traceable insights across large document sets.

This masterclass brings together Litera experts to explore how firms use AI to raise the value of human judgment instead of replacing it.

Why Do AI Mistakes Get Riskier Toward the End of a Matter?
The cost of an error rises as work moves from drafting through review, redlining, protection, and closing. Early mistakes can be corrected. Late mistakes ship.

What Is Deterministic Accuracy, and Why Does It Matter?
Deterministic tools follow defined rules and return the same result every time. Probabilistic tools return the most likely answer. On high-stakes work, “most likely” is not the standard a lawyer can sign.

What the Session Covers:

• Why the risk of a probable answer rises from drafting through closing
• Where probabilistic tools introduce real risk, and where deterministic accuracy protects the work
• How to rethink entire workflows instead of speeding up existing processes
• What responsible AI governance looks like in practice

You’ll leave knowing where AI risk lives across a matter, and how to adopt AI in a way that strengthens your lawyers’ judgment and your clients’ trust.

Speakers:
Jenisha Sabaratnam, Legal Product Consultant, Litera
Mike Trusca, Solutions Sales Executive, Litera

FAQ

Who should watch this masterclass?
Managing Partners, Chief Operating Officers (COOs), and practice leaders who are accountable for how their firm adopts AI.

Does this session argue against using AI?
No. It examines how to use AI where it adds value and where human judgment and deterministic tools must lead.

How long is the recording?
This on-demand Masterclass is 60 minutes long.