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Showing features posts. Deep dives into workflows, product behavior, and power-user tips.
Automated Summaries as a Revenue Stream for Court Reporting Firms
Boost your bottom line with AI-powered deposition summaries.
25,000 Pages. About 10 Minutes. Why We Built CaseMark Source Differently.
A 25,000-page medical chronology in about 10 minutes doesn't come from a faster model alone. Andraž Krašček explains the architecture behind CaseMark Source: ingestion that makes records usable, an agent layer that delivers a finished report, and open-weight models matched to each job.
Aim the Report Before It Drafts: Introducing Insight Pass
An AI workflow can produce a report that is technically complete and still not the report you needed. Insight Pass fixes that at the front of the workflow: before a report drafts, it reads your sources and asks a few quick questions about audience, side, and purpose, so the first draft comes back aimed at what your team actually needs.
Not Another GPT Wrapper: What Linc Says About How We Build CaseMark
The legal AI market is full of GPT wrappers. They demo well and fall over the moment a lawyer asks for real work. Here is why CaseMark is built on a different foundation, and what our open-source agent Linc reveals about the infrastructure underneath.
CaseMark for Court Reporters: From Proceeding to Portal
The new CaseMark for Court Reporters is a full matter production and delivery platform. AI transcription, automated transcript QC, 880+ workflows, and branded client delivery in one workspace. 12 firms are live.
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