Turn complex legal workflows into a reliable AI stack.
Termstack is a team of lawyers and engineers. We find where AI fits, choose the right technology for your team, and build it to production standards, layer by layer.
From a change in a tool you already use, to software that does not exist yet.
We meet your systems where they are and work at the level that returns the most for your teams.
Refine the tools you have.
Changes to the interfaces your teams already work in, so AI-assisted work feels native and surfaces where the decision is made.
Embed AI into your systems.
Features that place an AI core inside the tools your teams and clients already depend on, so adoption does not require a new habit.
Build what is missing.
Net-new internal tools and client-facing applications that let your people adopt entirely new workflows, from intake through to delivery.
Every layer built to run in production.
A demo proves little. We assemble each system from layers that are reliable, observable, and built to improve while they run under real conditions.
Reliability
01Predictable behavior under real caseloads, with sensible failure modes when a model does not cooperate.
Scalability
02Architecture that holds as adoption moves from one team to a practice group to the whole firm.
Observability and tracing
03Full visibility into production behavior, including tracing of individual model calls, prompts, and outputs.
Feedback and evaluation
04Mechanisms that capture real-world performance, so the system improves over time rather than freezing at launch.
We begin where the work is repeatable, high in volume, and open to review.
AI earns its place in specific, bounded workflows, not everywhere at once. A few of the places it tends to pay off.
Document review and diligence
First-pass review and issue spotting across large document sets, with a person in the loop.
Contract drafting and review
Drafting from precedent, redline triage, and clause-level checks against firm standards.
Research and memoranda
Grounded research and first drafts that cite back to source, kept inside firm-controlled material.
Intake and matter triage
Routing, conflict surfacing, and structured capture at the front door of a matter.
Knowledge management
Making a firm's own work product findable and usable instead of trapped in old matters.
Client-facing tools
Applications that let clients self-serve well-bounded tasks, on rails the firm defines.
The judgment to know where AI belongs, and the engineering to ship it.
We know where AI fits.
And where it does not. We help firms separate the workflows AI genuinely improves from the ones better left alone.
We choose the right technology.
Not the demo. The specific model, tooling, and architecture suited to a particular team, matter type, or function.
We stay through production.
Understanding the problem is the start. We carry it to a system running live, accountable for how it behaves.
Tell us about the workflow.
Describe a process your teams run today. We will be candid about whether AI improves it, and what it would take to build something you can rely on.