DeepJudge
Precision AI search for legal teams
By DeepJudge · HQ Zurich, Switzerland · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Law firms with large document sets spread across DMS, SharePoint, OneDrive, email and intranet
- In-house legal and compliance teams that must reuse prior advice and precedent under strict access controls
- Firms with a knowledge-management or innovation function able to sponsor adoption
- Legal teams that want to build and govern their own AI agents and workflows on firm data
Ideal size: 100–2,000 legal professionals people · Law firm or in-house team with a managed DMS and a knowledge function
Not for
- Small firms or solo practitioners with little digitised institutional knowledge
- Buyers expecting an out-of-the-box drafting or contract-review copilot rather than search and workflow infrastructure
- Teams that cannot connect their DMS and email to a third-party index
- Non-legal businesses looking for general enterprise search
Value metrics scorecard
Time-to-Value
Under 2 months
~30 days to first production value
Total Cost of Ownership
On request
Enterprise, quote-based; DeepJudge publishes no plans, seat tiers or list prices
Implementation Friction
1/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; sold through enterprise agreements
Add-on costs
- None
Company & support
Who is behind DeepJudge, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Zurich, Switzerland
How you get support
We haven’t recorded support channels for DeepJudge yet. Nothing here means unverified — not absent.
Market position
Where DeepJudge sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- DeepJudge
- Smokeball
- Soraban
- ConnectWise
- NetDocuments
- AuditDashboard
Add or change companies
Up to 10 companies including DeepJudge. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What DeepJudge ships in AI, and what it asks of your ecosystem.
AI features shipped
Knowledge Search indexes and semantically understands firm content; Multi-Document Chat answers questions over a client-matter folder or any document set. AI Workflows build, deploy, orchestrate and govern agents using LLM-agnostic agentic reasoning, with configurable audit logs and indexing controls.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Basic visibility
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
DeepJudge is an AI search and workflow platform for law firms and in-house legal teams. It indexes knowledge the firm already holds — DMS, SharePoint, OneDrive, email and intranet — and makes it usable by AI agents, with permissions synchronised to source systems. The vendor reports 65 hours saved per user per year, 85% adoption in under two months and 4x first-year ROI, with named customers including Freshfields, Gunderson Dettmer, CMS and Vorys.
Frequently asked questions
What does DeepJudge do that our DMS search does not?
DeepJudge indexes content from the systems a firm already uses — DMS, SharePoint, OneDrive, email and intranet — and makes it available to AI. The vendor describes semantic understanding of documents, so lawyers can ask natural-language questions across matters and client files, and the same index can power AI workflows and agents. Access permissions are continuously synchronised with the source systems, so users only reach authorised information.
How long does implementation take, and must we migrate data?
The vendor states there is no complex implementation and no data migration; DeepJudge indexes existing sources in place. It reports 85% adoption in under two months at customer firms and quotes a customer describing real benefits from day one. Buyers should still plan for security review and connector configuration.
Where is our data hosted, and is it used to train AI models?
DeepJudge can run in the vendor's cloud, the customer's cloud, or on premises, with a choice of AI model and data residency. The security page states DeepJudge does not train on customer data, and that data is encrypted in transit and at rest with strict access controls and continuous monitoring. SOC 2 Type II and ISO 27001 certification are claimed.
Do we have to standardise on one LLM provider?
The vendor describes its agentic reasoning as LLM-agnostic and says customers run their choice of AI model in their choice of residency. DeepJudge has also announced a partnership with Harvey. The site does not publish which model providers are used by default, so that should be confirmed during evaluation.
How is DeepJudge priced?
DeepJudge does not publish pricing, plan tiers or seat minimums. It sells through demos and enterprise agreements, so commercial terms must come from sales. Ask about deployment and residency choices as well, since these can affect cost and contract structure.