Matter Intelligence System

From complaint to response — one guided workflow.

LMIS walks a matter through eight gated steps. AI prepares the work product at each step; nothing advances until counsel has reviewed and signed off. Better intelligence, higher productivity, lower costs, reduced risk.

New — v0.8 redesign: The principle-based redesign of the LMIS interface is live. Open the interactive demo: litigit.ai/demo/lmis-v0.8.1784637378.html — decision inbox, dependency-aware phase board, gate-first screens.

Eight steps, each with a completion gate

Intake & Triage

The complaint is ingested and parsed. Parties, claims, dates, and damages are AI-extracted — each field carrying its own confidence score, each confirmed by counsel before the matter proceeds. Conflicts are screened and the response deadline is computed from the applicable rule and calendared with reminders.

Team & Outside Counsel

Assign the internal case team with role-based permissions, select panel counsel, track the engagement letter, and coordinate carrier notice — including reservation-of-rights handling.

Case Assessment

Predictus scores liability and models settlement ranges, iterating until the score stabilizes. Centiment surfaces behavioral risk signals, maps the key players, and pulls the hot documents. Claims are mapped to defenses and a draft strategic position is prepared for review.

Preservation & Legal Hold

Custodians are identified and tiered, data sources mapped, and at-risk sources flagged — like a departed employee mailbox nearing auto-delete. The hold notice is AI-drafted, reviewed by counsel before issuance, and acknowledgments are tracked.

Risk & Exposure

Damages are modeled by category across best, likely, and worst cases. Settlement scenarios, cost-of-defense paths, business impact, and insurance coverage feed a reserve recommendation prepared for CFO review.

Response Strategy

Response options and affirmative defenses are AI-scored for viability — the decision is human. General counsel selects the response type, settlement path, and authority threshold, and every choice lands in the decision record.

Fact Investigation

A privileged workspace for witness interviews, document coding, running findings, and the factual timeline. Privilege protocol is confirmed for every interview and the findings memo stays under work-product protection.

File Response

The response package comes together for final review and filing — every gate satisfied, every AI output confirmed, every decision on the record.

Inside LMIS, screen by screen

Design captures from the interactive concept demo — a fictional employment matter walked from complaint to filed response. Click any capture to open the live demo.

Step 1 · Intake & Triage
Step 1 · Intake & Triage — the complaint is parsed into AI-extracted matter fields, each with its own confidence score and REQUIRE REVIEW gate; conflicts are screened and the response deadline is rule-computed and calendared. Five gate checks must pass before Step 2.
Step 2 · Team & Outside Counsel
Step 2 · Team & Outside Counsel — the internal case team is assigned with role-based permissions, panel firms are AI-scored for fit (with the reasoning shown), the engagement letter and matter budget are tracked, and a three-tier settlement authority framework is configured — all under the carrier's reservation of rights.
Step 3 · Case Assessment
Step 3 · Case Assessment — Predictus scores liability (66%, confidence 87%, stabilized over 4 iterations) with a modeled settlement range; Centiment surfaces weighted risk signals, the key-player network, and hot documents; claims map to defenses and an AI-drafted strategic position awaits senior review.
Step 4 · Preservation & Legal Hold
Step 4 · Preservation & Legal Hold — nine custodians are AI-identified and tiered, seven data sources mapped, and an active spoliation risk is flagged — a departed custodian's mailbox two days from auto-delete. The AI-drafted hold notice requires counsel review before issuance, with acknowledgment tracking to follow.
Step 5 · Risk & Exposure
Step 5 · Risk & Exposure — the refined Predictus score shows what changed and why; damages are modeled by category across best, likely, and worst cases; settlement probabilities, cost-of-defense paths, business impact, and insurance coverage roll up into a reserve recommendation prepared for CFO review.
Step 6 · Response Strategy
Step 6 · Response Strategy — response options are AI-scored for viability with pros and cons shown, settlement paths compared on cost, risk, and disruption, and affirmative defenses scored for applicability — while the GC decision record keeps every strategic call human and on the record.
Step 7 · Fact Investigation
Step 7 · Fact Investigation — a privileged workspace tracks the witness interview queue, running findings (confirmed, contested, ruled out — each with sources), the factual timeline, and open questions, feeding an AI-assisted findings memo held as attorney work product.
Step 8 · File Response
Step 8 · File Response — the response package (partial motion to dismiss + answer) is AI-consistency-checked against every earlier step, walked through a seven-stage review workflow, deadline-verified against the rules, and configured for CM/ECF filing — with post-filing activations queued to fire automatically. Final filing requires GC sign-off.
Reference · Forms Library
Reference · Forms Library — 52 standardized civil-litigation forms — federal AO and JS forms plus pleading templates — organized by stage from case initiation through appeals and state-specific indexes. Forms auto-populate from the matter record, and the library flags which forms are relevant to the matter's current stage.

AI prepares. Counsel decides.

Litigit Technology takes the “artificial” out of AI. The workflow is built around the same principle as our Responsible AI commitments: the system does the heavy lifting, and the human stays in control of everything that counts.

Review gates on every AI output

Extractions, drafts, scores, and recommendations are marked as requiring review. A step cannot complete until counsel has confirmed the AI work product.

Confidence on every field

Each extracted fact carries a confidence score and a link back to its source, so review effort goes where it matters.

Decisions on the record

Strategic choices are recorded with who decided, when, and on what recommendation — a defensible trail from intake to filing.

What's inside the platform

LMIS is the workflow that ties Litigit together: Early Case Analysis powers the early steps, eDiscovery carries preservation into review, and the Evidence Graph keeps the evidentiary chain transparent.

Predictus — predictive analytics

Liability probability with confidence and iteration tracking, settlement modeling, isolation of outcome drivers, and refined scoring as investigation findings land.

Centiment — signal analysis

Behavioral risk signals with weights, key-player network analysis, and hot-document surfacing across the matter corpus.

Forms & Reports libraries

A civil-litigation forms library organized by case type and stage — from case initiation through appeals — plus risk, outcome, investigation, and compliance report templates.

Calendar & deadlines

Rule-computed deadlines calendared with primary and backup reminders, alongside the matter events that drive them.

Design concept: The interactive demo below is UI functional design v0.7. All matters, parties, and names in it are fictional, and screens illustrate intended functionality — not a shipping product.

Walk a matter through it yourself

The v0.8 concept opens with what needs you — a decision inbox, a dependency-aware phase board, and one gate-first screen per step. The original v0.7 walkthrough is kept alongside for comparison.