Use AI for legal review you can prove
Your teams use AI for privilege calls, briefs, and invoices. When a court, a client, or opposing counsel asks how the work was done, you need to show your rules were applied every time. Jaxon is the verification layer that checks each AI output against your protocols, court rules, and outside counsel guidelines, then returns TRUE, FALSE, or UNKNOWN with a defensible audit trail.
The rules the court, opposing counsel, and your clients will ask about. Jaxon encodes them.
Four facts that frame every conversation about AI in legal practice.
AI is already making first-pass relevance and privilege calls. Opposing counsel wants to know how you checked them.
How DSAIL® verifies AI outputs instead of letting one model grade another.
Most AI checks ask a second model to grade the first. That's still a probability, and you can't defend a probability at a meet-and-confer. Jaxon splits the work. The AI reads the document and answers narrow factual questions, like whether an attorney is on the communication. Your rules, written in DSAIL (Domain-Specific AI Language), then decide the verdict the same way every time. The rules never live inside a prompt.
The probability path
One model grades another
92% confident means wrong 8 times in 100, and no way to tell which.
Illustrative
A proof. Produced at the meet-and-confer, in the motion, to the client.
Defensible like human review, and fast like the AI it checks. Audit-grade output at API speed.
What Jaxon delivers to your litigation and practice teams
Discovery Counsel · Litigation Partners · Litigation Support · Knowledge Management · Firm General Counsel
Consistent calls
Every document is checked against the same encoded protocol, with no variance between reviewers.
An audit-ready trail
Every recommendation traces from protocol text to rule, extracted fact, and source passage.
Exception-only workload
Jaxon clears the routine entries; attorney judgment goes to the FALSE and UNKNOWN results.
A record you can produce
When a call is challenged, you can show the client, the court, or opposing counsel exactly how it was made.
The only approach that got every rule right, every time
In DSAIL® Benchmark 3.0, DSAIL went up against the three ways teams usually try to make language models reliable: careful prompting, retrieval-augmented generation (RAG), and a second model acting as judge. Same models, same documents, 65 rule checks, each run five times.
| With Jaxon | Without Jaxon (best result per approach) | ||||
|---|---|---|---|---|---|
| Metric | DSAIL + Claude Opus 5.5 | DSAIL + GPT 5.6 Sol | Best careful prompting | Best RAG | Best LLM-as-judge |
| Correctness | 100% | 100% | 78.5% | 73.8% | 78% |
| Auditability | Yes | Yes | No | No | No |
The benchmark checked written adjudication rules against background reports; eDiscovery protocols are different documents, and we do not claim the numbers carry over. A pilot on your own protocol is how you find out. Full methodology and results
Six AI verification use cases for legal teams.
How Jaxon verifies an AI output: POST, check, verdict, log.
Any LLM: a privilege call, a coding decision, a cited authority.
Formal check against your encoded, version-controlled rulebook, run by a symbolic solver.
Where must your client data stay?
Fastest to production
Most isolated
Constraint
No client-confidential data
Constraint
Must stay in your cloud
Constraint
Must stay in your perimeter
Constraint
No external connectivity
Ready to put verified AI into your discovery, filing, and billing workflows?
Jaxon's engineering team works directly with your discovery counsel, litigation support, knowledge management, and information security teams to encode your protocols and stand up verification inside your environment. Most firms start with a six-to-eight-week pilot on a closed or sanitized matter.
Your protocols. Your environment. A verdict you can produce.
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Email the teamOr write directly: info@jaxon.ai
Does Jaxon replace attorney review or give legal advice?
No. Jaxon checks documents, log entries, coding decisions, filings, and invoices against the rules your attorneys approve and returns TRUE, FALSE, or UNKNOWN for every rule, with the trace behind it. The professional judgment stays with your lawyers. Jaxon gives them a consistent, reproducible record behind each call.
Does it work with our review platform?
Yes. Your review platform stays the system of record for collection, processing, review, and production. A pilot runs on exports, so it needs no integration and no access to your review environment. In production, the same checks run on scheduled exports or through the platform's APIs, with results returned as a report or written back where the platform supports it.
Where does client data go?
Nowhere new. Jaxon deploys in your own cloud tenant or on your own infrastructure, and extraction runs on the language model your firm configures with its own credentials. Jaxon does not host, store, or process client data, and document content never appears in audit or operational logs.
What if a document is missing information?
The rule returns UNKNOWN and names the missing fact. Nothing is guessed, and UNKNOWN is never counted as TRUE. Your workflow decides how each UNKNOWN is handled: routed to a reviewer, held, or escalated. Either way, the record shows the rule was run.
How does a pilot work?
A pilot takes about six to eight weeks. In the first two weeks we encode one protocol, such as a privilege protocol, and your protocol owner approves every rule. We then run it against an export from a closed or sanitized matter, walk through the FALSE and UNKNOWN results with your team, and confirm that replaying the stored facts reproduces every result exactly.
Do your benchmark results apply to legal documents?
Not automatically. DSAIL Benchmark 3.0 checked written adjudication rules against background reports, and eDiscovery protocols are different documents. What carries over is the architecture: the model answers narrow questions of fact, and deterministic logic decides the verdict. A pilot on your own protocol is how you measure it.