Litigation AI Library

Practical intelligence for attorneys building stronger case workflows.

Field notes on deposition analysis, medical proof, demand readiness, valuation support, discovery, and the kind of legal AI lawyers can actually verify.

Depositions2Tool evaluation1Valuation support1Legal research1

Case intelligence docket

What lawyers are trying to answer

Cite-checking

Is this finding source-backed?

Depositions

What testimony helps demand?

Medical evidence

What proof is missing?

Valuation

What changes settlement posture?

Featured guide

How to Use AI for Deposition Analysis Without Losing Accuracy

AI can speed up deposition review, but the useful question is whether every admission, contradiction, and page-line cite can be trusted.

Read the guide

Analysis

Admissions with page-line support
Contradictions against records
Follow-up work for the team

Attorney review

Useful AI starts with the source, not the summary.

Start here

Built for scanning between hearings, calls, and drafting sessions.

Verify

Can the point be tied to source material?

Prioritize

What affects demand, discovery, or settlement next?

Draft

What can become attorney-reviewed work product?

All guides

Read by workflow, risk, or case stage.

Short enough to scan, detailed enough to help a lawyer decide whether a tool or workflow belongs in real litigation work.

Tool evaluation4 min

What to Look for in AI Legal Tools: A Litigator's Checklist

A practical evaluation checklist for litigation AI tools, including source verification, attorney control, case context, and workflow fit.

March 16, 2026Open
Depositions4 min

Deposition Summary Best Practices: What Associates and AI Should Include

A useful deposition summary is not a transcript paraphrase. It should identify admissions, contradictions, evasions, damages testimony, exhibits, and follow-up work.

March 16, 2026Open
Valuation support4 min

Case Valuation and Comparable Case Research: Beyond the Verdict Database

Case valuation support organizes comparable outcomes, venue facts, injury factors, liability issues, and settlement risks without pretending to predict a precise number.

March 16, 2026Open
Legal research4 min

AI vs. Traditional Legal Research: When to Use Each

AI can accelerate extraction, synthesis, and first drafts, but traditional legal research and attorney verification still matter for authority, judgment, and final use.

March 16, 2026Open

Why this library exists

Legal AI content should help lawyers ask sharper product questions.

Medical proof

Gaps, causation, bills, and treatment support.

Testimony

Admissions, evasions, contradictions, and cites.

Work product

Demand, discovery, motions, and review status.