AI workflow orchestration for law firms — regulatory alerts matched to live matters, AI usage captured into billing, precedents fed back into your knowledge base, and diligence reports drafted from completed review.

It watches every regulator so a paralegal doesn’t have to — and catches the release the moment it publishes.

AI agentClaude
Regulatory feedwatching, live
LiveLiveLiveLive
Federal Register — routine notice · no action
SEBI — circular update · out of scope
RBI — no change to watched rules
SEC EDGAR · just published
SEC Release No. 33-11138 — Rule 10b5-1 trading plan amendments
effective Feb 27, 2026
Securities lawInsider trading
iManagematter wall
Meridian Shah LLP · 500+ active matters cross-referenced
#4472 · exec trading plan · Shah
#4509 · Rule 10b5-1 setup · Lee
+5 more matters exposed
2 pending filings — put on hold automatically
Precedent searchiManage · RAG
SEC v. Salman (2016)
tipper-tippee liability
Your own 2022 10b5-1 guidance memo
surfaced from the archive
Prior matter #3841
same client, same issue (2023)
12 matched · relevance 0.87+
Guidance memoWord · house style
The change, in plain English
7 affected matters, by partner
Relevant precedents (12)
3 numbered action items
Drafted in 4 min 12 sec
Elite 3Etime & billing
Research time — logged to #4472
0.0 hrsautomatically
26% billing leakage — closed
Outlookclient alert
To[affected clients]
SubjectSEC Rule 10b5-1 amendment — action needed on your trading plan
Awaiting Partner Shah — nothing reaches a client without a partner
Partner A. ShahApproved by A. Shah · sent to 2 clients
Delivered to 2 clients
You: 09:06.The market’s other lawyers: still on day 3.
Your knowledge base
Embedded — the next matter already knows0documents · it never leaves when a partner doesSEC Release 33-11138 filed

Published 09:02 · you replied 09:06

Four minutes to a partner-approved client alert.

Matters checked500+
Exposed matters found7
Precedents surfaced12 incl. your own 2022 memo
Billable time captured1.2 hrs auto
Time to client alert3–4 days 4 min
Pick the gap that hurts most →iManageElite 3EClioNetDocumentsOutlookRegulatory alerts, billing capture, knowledge activation, diligence-to-report — four workflows, on the systems you already run.

Chronexa doesn’t sell an AI or a legal database. We orchestrate Claude with the systems you already run — iManage, your billing platform, Word and Outlook. We build the workflow; every client alert still waits for a partner.

Click a step above to jump · the run loops on its own

What it is

What is the AI Legal & Regulatory Engine?

We don't sell AI tools. The serious firms have already shipped them — an internal AI assistant, a RAG system over the document store, an enterprise cloud DMS. The expensive problem now is operational: that AI isn't connected to the daily workflows where legal work actually happens. Alerts go out days late, AI-assisted time goes unbilled, hard-won precedents get buried in folders, and reports are still written by hand.

The Legal & Regulatory Engine is the connection layer. It is four workflows that make your existing stack work end-to-end: regulatory changes matched to live matters and turned into draft client alerts in minutes; AI-tool usage captured into the billing system automatically; closed-matter precedents extracted and fed back into the firm's knowledge base; and completed document reviews turned into client-ready diligence report drafts.

We presented this four-gap analysis to the digital leadership of one of India's largest full-service law firms. Their response: every gap is real. No two firms run the same practice mix or the same stack — which is why each workflow is built on the DMS, review platform and billing system you already run, not on a platform you have to migrate to. The engine does not practice law; judgment stays with partners. It handles the monitoring, capture, extraction and drafting around that judgment.

The framework

The Four Operational Intelligence Gaps

Map any modern firm's AI program against its daily workflows and the same four gaps appear — we validated this framework with the digital leadership of one of India's largest law firms. Each gap below shows the workflow as it runs manually today, and as it runs once the engine connects your existing systems.

Gap 01 · Regulatory Alert Engine

The Regulatory Intelligence Gap

When SEBI, RBI, the MCA or the SEC releases a new circular, lawyers read it manually and work out which of hundreds of active client matters are affected. Clients often hear about regulatory changes from the news before their lawyer alerts them.

Before

  1. Regulator releases a circular
  2. A lawyer reads it manually
  3. Emails the practice head
  4. Practice head works out which clients are affected
  5. Partners pinged on WhatsApp
  6. Client alert drafted
  7. Sent 3–4 days later

After

  1. Regulator releases a circular
  2. AI classifies it by topic — FPI, NBFC, M&A, securities
  3. Cross-referenced with active matters tagged in your DMS
  4. Draft client alert auto-generated
  5. In the responsible lawyer's review queue in 15 minutes

Time to client alert: 3–4 days → 15 minutes. Zero clients hearing about a change from the news first.

Gap 02 · AI Billing Capture

The AI Usage Billing Gap

Lawyers use the firm's AI tools daily, but that time never reaches the billing system — even Harvey only announced billing integration in late 2025, and it isn't built yet. Industry studies put revenue lost to manual billing failures at 26%. The more your lawyers use AI, the more revenue silently leaks.

Before

  1. Lawyer uses the AI assistant for 90 minutes on a matter
  2. Finishes, moves to the next task
  3. Forgets to log the time
  4. Estimates 45 minutes at the end of the day, "to be safe"
  5. 45 minutes of revenue lost

After

  1. Lawyer opens the AI tool on a matter
  2. A background timer starts
  3. On close, a draft time entry is created: "AI-assisted analysis, 92 minutes, Matter #5821"
  4. Lawyer approves in one click
  5. Every prompt and output logged to the matter file

Closes the 26% billing-leakage loop automatically — and creates the AI audit trail your governance committee wants anyway.

Gap 03 · Knowledge Activation Loop

The Knowledge Activation Gap

Your RAG system retrieves old knowledge brilliantly. But when a landmark deal closes today with a hard-won precedent clause, it doesn't flow back in. Six months later, another team re-invents the same clause from scratch.

Before

  1. A major infrastructure deal closes
  2. The team spent 3 months negotiating a force majeure clause
  3. Excellent precedent
  4. Filed in a DMS folder
  5. Not tagged, not extracted
  6. 6 months later, another team handles a similar deal
  7. Spends a week re-inventing the same clause

After

  1. Deal closes — partner marks the file "final" in the DMS
  2. Pipeline extracts the key negotiated clauses
  3. Summary generated and tagged by practice area and sector
  4. Pushed into your knowledge system's index
  5. The next team on a similar deal gets it surfaced automatically

Your knowledge base stops being an archive and starts learning from every closed matter. Research time on repeat matters drops an estimated 20–30%.

Gap 04 · Diligence-to-Report Automation

The Diligence-to-Report Gap

After a major M&A or litigation document review is complete — often 5,000–10,000 documents in a tool like Relativity — someone still writes the client diligence report by hand. That is 16–24 hours of senior associate time per deal.

Before

  1. 8,000 documents reviewed in Relativity over 3 weeks
  2. Review marked complete
  3. Senior associate exports findings to a spreadsheet
  4. Manually reads hundreds of "Red Flag" tags
  5. Writes a 40-page diligence report section by section
  6. Takes 16–24 hours
  7. Client gets the report 3 days later

After

  1. Relativity marks the review complete
  2. Pipeline exports all tagged documents by category
  3. AI synthesises the material-risk documents by category
  4. Structured Word draft generated — executive summary, risk breakdown, citations
  5. Senior associate reviews and refines in 4–6 hours
  6. Client gets the report the same day

Report writing: 20 hours → 5 hours. Deal velocity becomes a competitive edge — and the approved report is stored as precedent for the next deal in that sector.

How it works

How the Legal & Regulatory Engine works, step by step

The canvas above shows the flagship of the four workflows — the Regulatory Alert Engine — running end-to-end, including the automatic billing log and knowledge indexing steps. Six agents run in sequence for every regulatory event: the monitor runs continuously, the remaining five trigger when a relevant event is detected. The other three workflows — billing capture, knowledge activation, diligence-to-report — reuse the same architecture on different triggers: an AI-tool session, a matter marked final, a review marked complete.

  1. 01

    Regulatory Monitor

    The engine monitors regulatory publication feeds — SEC EDGAR, SEBI, RBI, IRS, FINRA, Federal Register, and custom jurisdictional feeds — in near real-time. When a new release, amendment, guidance letter, or enforcement action is published, it is ingested, parsed, and classified by type, jurisdiction, and effective date. No paralegal needs to check a bookmarked webpage.

    What you get Zero-lag regulatory awareness — your firm knows about a rule change the moment it is published.

    • SEC EDGAR
    • SEBI
    • RBI
    • IRS
    • FINRA
    • Federal Register
    • Custom feeds
  2. 02

    Impact Analysis

    Every new regulatory change is cross-referenced against your active matter list, client portfolio positions, and internal policy documents. The impact analysis identifies which clients are exposed, which matters are affected, and the nature of the exposure — in plain English, not legalese. Partners are ranked by how many of their active matters are affected and notified in order of priority.

    What you get An impact map — which clients are exposed, which partners are affected, and the severity — before anyone has read the full document.

    • Matter matching
    • Portfolio cross-reference
    • Client exposure map
    • Partner ranking
  3. 03

    Precedent Search

    A RAG agent searches the firm's vector database of indexed precedents — past rulings, internal guidance memos, court judgments, and regulatory enforcement actions — to surface what the firm already knows about this type of issue. The search is semantic, not keyword-based: it finds structurally similar precedents even when the terminology differs. New judgments are indexed automatically, so the knowledge base compounds with every event.

    What you get The firm's institutional knowledge on this issue — surfaced in seconds rather than requested from a senior partner.

    • RAG / Vector DB
    • Internal matter history
    • Case law feeds
    • Enforcement actions
  4. 04

    Guidance Memo

    The engine drafts a structured guidance memo: the regulatory change in plain English, the impact on each affected matter, relevant precedents, and a numbered action item list for the responsible partner. The memo follows the firm's internal style guide and is formatted for partner review — a decision-ready document, not a summary dump. Client alert drafts are queued for partner approval before sending.

    What you get A partner-ready memo and draft client alerts — written in 4 minutes, ready for review rather than from a blank page.

    • Claude
    • Internal style guide
    • Partner review queue
    • Client alert templates
  5. 05

    Matter Update & Billing

    Every regulatory event that affects an active matter generates an automatic update in your practice management system — Clio, iManage, Elite 3E, or NetDocuments. Billable research time is logged against the matter: the engine's monitoring, analysis, and drafting time is captured and attributed. Partners are notified via their preferred channel. Client dockets are updated with the regulatory event and the firm's response.

    What you get No unbilled regulatory monitoring time, no missed matter updates, no manual time entry.

    • Clio
    • iManage
    • Elite 3E
    • NetDocuments
    • Billable time logger
  6. 06

    Index & Learn

    Every new regulatory document, enforcement action, court judgment, and internal memo is embedded and indexed into the firm's vector database. The next precedent search will surface it. Over time, the firm's institutional knowledge compounds: the more the engine runs, the better the precedent search becomes. New hires inherit the full knowledge base immediately — and it does not walk out the door when a partner leaves.

    What you get A knowledge base that gets better with every regulatory event and never loses institutional memory.

    • Vector DB
    • Embedding model
    • Judgment feed
    • Precedent classifier

The problem

The problem: your AI isn’t wired into the work

Firms at the top of the market have already solved the hard problem — they bought or built the AI. Internal assistants, RAG over the document store, enterprise cloud DMS. What remains is operational: none of it is wired into the workflows where the work actually happens.

  • When a regulator publishes a circular, lawyers still read it manually and work out which of 500+ active matters are affected — clients sometimes hear about the change from the news first.
  • Lawyers use AI tools daily, but that time never reaches the billing system. Industry studies put revenue lost to manual billing failures at 26%.
  • A hard-won clause from a deal that closed today never flows back into the knowledge system — six months later, another team re-invents it from scratch.
  • After a 5,000–10,000-document review in Relativity, a senior associate still writes the 40-page diligence report by hand — 16–24 hours per deal.
  • Institutional knowledge walks out the door when a senior partner leaves — nothing captured, nothing searchable.

The problem isn't AI capability. It's workflow connection. The engine doesn't replace legal judgment — it makes the AI your firm already owns show up in the daily work, with every action logged.

Time to value

How fast you go live

Most firms are live in 3–4 weeks.

  1. Week 1Configure regulatory feedsConnect the regulatory sources relevant to your practice — SEC, SEBI, RBI, IRS, FINRA, Federal Register, or custom jurisdictional feeds. Set alert thresholds by practice area and keyword.
  2. Week 1–2Index existing knowledgeLoad your existing precedents — past guidance memos, internal research, key judgments — into the vector knowledge base. Built from your actual knowledge, not a generic legal database.
  3. Week 2–3Wire to practice managementConnect to your practice management system — Clio, iManage, Elite 3E, or NetDocuments — for automatic matter updates and billing hour logging.
  4. Week 3–4Pilot and partner reviewRun the engine on 5 live regulatory events with partner review of every output. Calibrate the impact matching, memo style, and alert format before full deployment.

What you need to start

  • A defined list of regulatory sources to monitor — by jurisdiction and practice area.
  • Access to your active matter list — for impact matching.
  • Your existing precedents, guidance memos, and key judgments — for the vector knowledge base.
  • Access to your practice management system — Clio, iManage, Elite 3E, or NetDocuments.

No legal research database subscription required. The engine monitors primary regulatory sources directly and searches your firm's own indexed knowledge base — not a third-party database charging per search.

ROI

The return on a Legal & Regulatory Engine

15 minfrom regulatory publication to a draft client alert — down from 3–4 days
26%of potential revenue lost to billing leakage — the gap auto-capture closes
20h → 5hsenior-associate time per diligence report, with same-day delivery
20–30%less research time on repeat matters once precedents flow back automatically

Take a 100-lawyer practice as the unit of math. Billing capture alone: at two hours of AI-assisted work per lawyer per day and a $300–400 blended rate, recovering even half of the 26% industry leakage is worth millions a year — it is usually the workflow that pays for the entire engine. Diligence reports: 20 M&A or litigation matters a year at 15 hours saved per report is 300 hours of senior-associate time recovered annually, as capacity or as billings. Regulatory alerts are the retention play: for time-sensitive changes — SEBI FPI norms, RBI lending rules, SEC rule amendments — being first to the client's inbox instead of third is what keeps the relationship. Exact numbers depend on matter volume, practice mix and current workflows; the discovery call maps them precisely.

Want your firm’s number instead of the benchmark? Run the billing-leakage calculator — your lawyer count, your rates, your estimate in ten seconds.

Proof

What legal teams say

We were monitoring SEBI, RBI, and the IRS manually — a paralegal spent three hours every morning just checking feeds. The engine does it in real time, matches to our active matters, and by the time the paralegal sits down, the memo is already drafted for review.
Aditya K.Managing Partner · Corporate legal firm, Mumbai & New York
The precedent search was the part I didn't expect to work as well as it did. We had a new SEC matter and the engine surfaced a 2019 internal memo from a prior matter — same client, same issue — that I had completely forgotten existed. That alone saved a week of research.
Sarah L.Senior Associate · Securities litigation practice

FAQ

Legal & Regulatory Engine FAQ

We already have an internal AI assistant and a RAG system. Why do we need this?

That is exactly who this engine is for. The tools are the solved problem — the gaps are operational. The assistant's usage never reaches your billing system, the RAG index never learns from the matter that closed last week, regulatory alerts still depend on someone reading circulars, and diligence reports are still written by hand. The engine is the orchestration layer that connects the AI you already own to the workflows where revenue is made and lost. We don't replace your stack; we wire it together.

Can it really capture AI-tool usage into our billing system?

Yes — that is the AI Billing Capture workflow. A background timer tracks AI-tool sessions per matter and creates a draft time entry ("AI-assisted analysis, 92 minutes, Matter #5821") in your billing or practice-management system — Elite 3E, Aderant, Clio or equivalent. The lawyer approves, edits or discards it in one click; nothing is billed without human sign-off. It also logs every prompt and output to the matter file, which doubles as the AI audit trail your governance committee wants anyway.

Does it work with iManage, NetDocuments and Relativity?

Yes. The workflows trigger from the systems you already run: matter tagging and final-document events from iManage or NetDocuments, completed-review exports from Relativity, and write-back into your billing platform. No rip-and-replace — the engine's entire point is connecting the stack you have.

Which regulators can the engine monitor?

Any regulator that publishes via a structured feed, RSS, email list, or web publication. We have built integrations for SEC EDGAR, SEBI, RBI, IRS, FINRA, the Federal Register, ESMA, FCA, and MAS. If your practice covers a jurisdiction not on this list, we can add custom monitoring for any regulatory publication source.

Does the engine have access to our client files?

The engine accesses your matter list and the metadata associated with each matter — client name, practice area, relevant jurisdictions — for impact matching. It does not access the full content of matter files unless you explicitly connect a document management system for the precedent index. Access controls mirror your existing DMS permissions.

How does the precedent search stay current?

Every regulatory event, judgment, and internal memo processed by the engine is automatically embedded and added to the vector database. The knowledge base grows with every event — no manual maintenance, no periodic updates. A ruling processed today is searchable for the next event that comes in tomorrow.

Can the guidance memo match our firm's writing style?

Yes. We configure the memo template and tone from a set of 10–20 existing partner memos from your firm. The drafts come out in your house style — not a generic legal summary. Partners review and edit, but they are editing rather than writing from scratch.

Is this suitable for an in-house legal team?

Yes. In-house teams at regulated companies — financial services, pharma, energy — use the same architecture to monitor their regulatory environment, cross-reference against internal policy documents and contracts, and produce compliance updates for the General Counsel. The matter list is replaced by a policy and contract inventory.

Sometimes the hardest part is reaching out — but once you do, we'll make the rest easy.

Let's talk today

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