Digest
Admissions, auto-tagged.
An auto-digest of key admissions with issue tagging across the testimony.
Deposition intelligence: transcripts and video into partner-grade digests. Key admissions, witness-contradiction maps across the full matter, impeachment outlines, and time-coded clips — every finding tied to the exact line and timestamp.
Primary hardware · H100 / L4 / DGX
A single deposition can run 400+ pages. Associates spend days digesting transcripts, hunting contradictions, and building impeachment outlines — and key admissions and inconsistencies across witnesses get missed under time pressure.
Drop the transcript, audio, or video. Get structured, cited output before lunch.
An auto-digest of key admissions with issue tagging across the testimony.
Cross-witness contradiction mapping over the entire matter, not one transcript at a time.
Impeachment outlines built from the inconsistencies Deposa finds.
Speaker-diarized audio/video transcription with clips tied to each quote.
Every extracted claim carries a line cite and timestamp back to source.
| Layer | Technology | Why it's here |
|---|---|---|
| Hardware | H100 / L4 · DGX | ASR and summarization inference over long audio/video; fine-tuning the legal speech and summarization models. |
| Speech & video | Riva · PyNvVideoCodec · DALI | GPU speech-to-text with diarization and legal vocabulary; GPU video decode for testimony clips. |
| Serving | CUDA · cuDNN · TensorRT · Triton | Low-latency digest serving, near real time. |
| Platform | NIM · NVIDIA AI Enterprise | Deployable speech + digest microservices, cloud or on-prem. |
Transcribing and diarizing hours of legal audio/video, then embedding and cross-referencing thousands of statements, is GPU-bound. Riva + TensorRT deliver accurate, near-real-time digests; CPU transcription is too slow and less accurate on legal jargon.
Legal-domain speech models plus cross-witness contradiction mapping over an entire matter go well beyond generic transcription tools.
A compounding corpus of annotated depositions improves accuracy per firm; the contradiction-mapping logic is hard to copy.
Per-deposition-hour and per-digest pricing inside Litigo, with a trial-prep tier for firms.
Every finding links back to the exact line and timestamp — usable in prep and at trial.
Deposa feeds admissions and contradictions to Verdex for evidence strength, to Citel for quote verification, and to the Litigo Writer agent — sharing the model and evidence layer.