Generative AI
Production-grade generative AI features — drafting, summarization, and content generation grounded in your data.
What it is
Generative AI refers to systems that produce new content — text, summaries, structured documents, code — based on a prompt and context. Tercer Labs builds generative AI features grounded in retrieval over your actual data, with guardrails, review workflows, and evaluation pipelines, so output is reliable enough for enterprise use rather than a novelty demo.
Where it applies
Document drafting
First drafts of contracts, reports, and correspondence grounded in your templates and precedent.
Summarization
Turning long documents, threads, or meetings into accurate, structured summaries.
Billing and reporting narratives
Converting raw activity logs into professional, client-ready written summaries.
Content operations
Drafting and structuring high-volume content with human review built into the pipeline.
How we deliver it
Use case scoping
We identify where generative output creates real leverage versus where it introduces risk.
Grounding & guardrails
We connect generation to your verified data and define what the model must not do.
Evaluation pipeline
We build test suites that catch quality regressions before your users do.
Launch & review loop
We ship with human review where stakes are high, and tighten automation as confidence grows.
What you get
- First drafts in seconds instead of hours
- Consistent tone and structure across every output
- Grounded in your real data — not generic model knowledge
- Evaluation pipelines that catch quality drift before customers do
In practice
- AI-generated billing narratives from raw time entries
- Contract clause drafting grounded in your firm's precedent library
- Client-ready reports generated from live financial and operational data
Questions about generative ai.
Related services
Let's build something your team will actually use.
Tell us about the workflow you're trying to fix. We'll tell you honestly whether AI is the right answer.