Built for legal teams handling high-volume records

Search massive case files with source-grounded answers

Jurisight brings ingestion, retrieval, and evidence review into one serious workspace for legal teams dealing with large records, tight timelines, and high trust requirements.

Large-file ingestion
Direct to storage

No browser-to-Lambda evidence transfer path

Retrieval posture
Source-first

Citations and provenance stay visible

Current focus
Defense-ready

Designed first for criminal defense workflows

Evidence review workspace
Built for trust, scale, and review discipline
Retrieval standard

Answers are only useful if the source trail is intact. Jurisight keeps retrieved passages tied to their originating document and provenance metadata.

Tenant isolation

Case data stays scoped by tenant and matter.

Asynchronous processing

Heavy ingestion runs outside the request path.

How it works

A retrieval workflow designed for legal evidence, not generic documents

The platform separates heavy data processing from the control surface lawyers use day to day.

Ingest large records

Stage evidence, reports, transcripts, spreadsheets, and archive bundles directly into durable case storage.

Normalize and trace

Preserve structured artifacts, processing status, and document lineage as files move through the pipeline.

Retrieve with citations

Search across case materials with provenance-first results tied back to source documents and chunks.

Review with confidence

Use grounded AI workflows as a review aid, with traceability built into the answer surface.

Key capabilities

Designed for evidence review, ingestion visibility, and grounded AI assistance

Jurisight keeps the operational state of the record visible while making the retrieval layer usable for legal work.

Case-centric review

Organize evidence around matters, not file silos, so attorneys can move from ingestion status to source review without losing context.

Hundreds of gigabytes per matter

The platform is designed for large legal datasets, with direct-to-storage intake and asynchronous processing paths.

Source-grounded retrieval

Results stay anchored to the underlying document, chunk, and provenance metadata needed for legal review.

Operational visibility

Track uploads, normalization, embeddings, and indexing state from a single workspace instead of stitching together backend logs.

Trust and security

Security posture built around controlled access and evidentiary traceability

We treat provenance, tenant separation, and durable storage architecture as product requirements, not marketing decoration.

Tenant-aware storage and retrieval boundaries

Durable source-of-truth architecture in object storage

Controlled access surfaces for ingestion and search

Traceable provenance from retrieved passage back to source material

Who it’s for

Focused first on criminal defense, without limiting the platform to one practice area

The initial product language reflects active defense workflows, while the platform itself is being built to support broader legal review use cases over time.

Criminal defense teams

Initial workflows are designed around evidentiary review, witness contradictions, interrogation records, and fast source lookup before hearings and trial.

Investigations and post-conviction review

The same retrieval and provenance model supports timeline reconstruction, record comparison, and issue-specific evidence review.

Future practice expansion

The platform architecture is broader than one practice area, with room to support other document-heavy legal workflows over time.

Pricing

Deployment and pricing are shaped around dataset size, workflow needs, and retrieval requirements.

We are keeping pricing simple at this stage. If you are evaluating Jurisight for a team or a high-volume matter, use the pricing page to start the conversation.

Contact us

Get started

Move from fragmented evidence review to a single, source-grounded workspace.

Start with the current workspace, review the security posture, and see how Jurisight handles large legal datasets without hiding the source trail.