Panoram provides a multi-model generative AI platform for large-scale document review — eDiscovery, due diligence, and cyber breach response. PanoramAI integrates with existing legal workflows.
Company Info
- Founded: 2020
- Team size: 11-50 employees
- Funding: $924K
- HQ: United Kingdom
- Sector: Litigation
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Panoram is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Panoram addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Client calls asking 'what's happening with my case?' — paralegal has to interrupt the attorney because matter status lives in someone's head, not a system
Documents scattered across email, shared drives, attorney desktops, and filing cabinets — paralegal can't find the key document when it's needed for court or a deposition
Firm uses separate tools for intake, documents, billing, and e-signatures that don't talk to each other — opening a new matter means entering the same client info 4 times across systems that should but don't share data
500K documents to review, contract attorneys burning out after 4 hours of screen-staring, nobody knows if the review is consistent across 20 reviewers — and the partner watching the budget bleed
Litigation team building a case chronology across 50,000 documents, 30 depositions, and hundreds of exhibits does it in Excel or Word — no single platform connects facts, people, events, and evidence into a searchable timeline, so critical connections between a witness statement and a document are missed
In-house legal team gets 200+ compliance queries per month ('Can we do X in Germany?', 'Does CCPA apply to this data?') — each one requires a lawyer to manually triage, research, and respond, but 80% are repetitive questions with deterministic answers that could be automated into a decision tree
Disputes partner receives a new complex commercial case with 200,000+ documents and needs to understand the factual landscape within a week to advise the client on strategy and costs — but the team can't even get through initial review in that timeframe, so the first case assessment is based on the client's narrative rather than the evidence
Community Data
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