A person in a suit writing on a clipboard at a desk with legal books, a gavel, scale of justice, and documents, illuminated by natural light from a window.

Private AI for legal workflows

Private AI for Legal Work That Must Be Cited

Law firms do not need AI that sounds confident. They need AI that shows its work.

AVA helps legal teams search matter files, summarize large record sets, build chronologies, identify key facts, retrieve prior work product, and prepare source-linked drafts for attorney review. AVA is designed for private legal workflows where confidentiality, privilege, citations, access control, and human review are non-negotiable.

AVA Demonstrated

In Private / Offline Mode, AVA analyzed legal and billing records to answer high-value litigation questions such as:

  • “What is the simplest theory a judge or jury can understand?”

  • “What is the proof the action was taken because of the report?”

  • “What data was exposed or misused, what duty applied, and what harm followed?”

  • “What statute waives immunity, and did you satisfy every prerequisite before filing?”

  • “Given the Bivens restrictions after Egbert v. Boule (2022), what exact constitutional violation is being alleged, and against whom?”

AVA then extended the analysis in Online Mode, retrieving current legal journals, articles, and other authoritative sources, and returned cited recommendations to support deeper review.

The result: AVA replaced 40 hours of work with a 30 second search and response with a faster search across internal records and external legal literature, and more comprehensive legal analysis — all while keeping client information private, encrypted, and anonymized. This equates to major time and cost savings for attorneys.

Check out the demo video.

Proof examples

AVA is strongest when it is pointed at a measurable, repeatable workflow. Here are examples from our customers.

Discovery chronology

Before AVA: 2 attorneys, 3 paralegals spent 90 hours/week reviewing 8,700 pages of discovery to build a chronology.
After AVA: time dropped to 5 minutes/week for 1 person with a source-linked chronology and attorney-reviewed issue map with a single AVA prompt.

Transcript review

Before AVA: 2 attorneys, 2 paralegals spent 14 hours/week searching deposition transcripts for testimony tied to civil litigation.
After AVA: time dropped to 15 minutes/week for 1 person with cited transcript references and contradiction flags with a single AVA prompt.

Prior work-product search

Before AVA: 2 attorneys, 2 paralegals spent 20 hours/week searching prior briefs, motions, memos, and research notes.
After AVA: time dropped to 20 minutes/week for 1 person with AVA retrieving related arguments, citations, and prior drafting patterns with a single AVA prompt.

Legal research support

Before AVA: 1 attorney, 2 paralegals spent 5 hours/week comparing legal authorities to the facts of the case.
After AVA: time dropped to 5 minutes/week for 1 person with approved-source research summaries and attorney-reviewed draft language with a single AVA prompt.

Settlement package preparation

Before AVA: 2 attorneys, 3 staff spent 20 hours/week compiling facts, exhibits, damages material, and supporting records.
After AVA: time dropped to 15 minutes/week for 1 person with AVA-generated source-linked sections for attorney review with a single AVA prompt.

Other time-saving results that we have demonstrated include:

  • Deposition preparation

  • Exhibit index creation

  • Fact contradiction mapping

  • Regulatory investigation response

  • Contract obligation review

  • Litigation hold support

  • Trial binder preparation

  • Matter intake and conflict context

What AVA does for legal teams

AVA can support:

  • Discovery review.

  • Case chronologies.

  • Issue maps.

  • Transcript summaries.

  • Witness and entity extraction.

  • Pleading, motion, and brief draft support.

  • Prior work-product retrieval.

  • Exhibit summaries.

  • Internal knowledge search.

  • Settlement, mediation, and demand-package support.

  • Privilege and sensitive-material review queues.

  • Legal research support using approved sources.

Built for legal objections

Q: Does AVA give legal advice?
A: No. AVA produces research support, summaries, drafts, chronologies, and review queues. Attorneys remain responsible for legal judgment, filings, advice, and final work product.

Q: Will client data train shared models?
A: No customer matter data is used to train shared models without a separate written agreement.

Q: Can AVA hallucinate citations?
A: AVA is designed around source-grounded retrieval and source-linked outputs. Legal citations and authorities must still be verified by attorneys before use.

Q: Can it protect privilege and confidentiality?
A: AVA can be deployed in customer-controlled environments with access controls, audit logs, matter-specific indexing, and private retrieval.

Q: Can the firm’s IT and risk teams review it?
A: Yes. Patriot Labs provides architecture, data-flow, security, model/data provenance, and deployment details under NDA.

Q: What legal research integrations does AVA have?
A: Patriot Labs is presently integrating sources such as Westlaw, Lexis, CourtListener, and other approved legal-data providers.

Q: How was AVA trained on legal data?
A: Initial training included a substantial multi-year corpus of real legal case materials and associated workflows. The result is AI shaped by real matter structure, real briefing patterns, real document volume, and the need for usable, reviewable outputs. AVA has matured into a tool capable of using only customer matter files that are indexed for that customer’s use. They are not used to train shared models without a separate written agreement. One client’s confidential matter data does not become another client’s AI.

Your Call to Action

Bring one legal workflow with real burden: discovery chronology, deposition review, prior work-product search, legal research support, or settlement-package preparation.

Patriot Labs will measure the baseline, deploy AVA against the approved matter record, and prove whether the work drops from 40 hours/week to <1 hour/week.

Put years of legal knowledge and current matter files into one private AI workflow.