New to Lexlegis.ai?
Three flagship products. Ask resolves legal questions on demand. Interact handles bulk reading and abstraction. Draft produces client-shaped deliverables. Sovereign deployment available.
Three products, used together or separately. All grounded in a curated legal corpus, refreshed weekly. Every output carries citations and an audit trail.
A senior associate on call for every reviewer.
Reviewers ask legal questions in plain English. Get verified answers with citations. Quality variance collapses because everyone gets the same authoritative answer.
A first-pass review team that never tires.
Bulk contract abstraction, docketing, e-discovery relevance and privilege. The machine handles the volume; your reviewers handle the close calls. Throughput multiplies.
A formatter who knows every client's template.
DD reports, abstraction grids, docketing summaries — produced in each client's house format, ready to ship. One abstraction; many deliverable shapes.
Margin compression has met quality scrutiny has met SLA enforcement. The old playbook (hire more) is over.
Clients want lower per-document rates. Reviewer wages keep rising. The gap closes by automating the second pass, not by cutting the first.
Reviewer A and Reviewer B abstract the same clause differently. Client QA bounces back 8% of deliverables. The bounce is the margin.
12 active client SLAs. Different throughput targets, different defect tolerances, different report formats. One queue. One ops lead.
Interact does the first-pass extraction at scale. Ask resolves citation and authority questions. Draft produces client-shaped output in your standard templates.
50,000 contracts ingested and abstracted in days, not months. Reviewers move to exception handling and quality — not bulk reading.
Open questions ("is this clause enforceable under Indian law?") get a verified answer with sources. No more reviewer-by-reviewer interpretation.
DD reports, abstraction grids, docketing summaries — produced in each client's house format, ready to ship.
Drawn from LPOs using Lexlegis.ai right now.
50,000 contracts for M&A diligence, structured abstraction in 10 days. Interact runs the bulk; reviewers QA the edge cases.
US firm outsourcing docketing for 1,200 matters across federal and state courts. Draft formats the docket entries to client schema.
LPO with 12 active client SLAs gets a single view of throughput, defect rate and deadline compliance, per client.
LPO productises standard DD reports at fixed-fee pricing — profitable because Interact + Draft do the bulk.
“An LPO does not need to read more. It needs to read once, well, with the same standard every time.”— Lexlegis.ai product principle
Sovereign deployment available for client data residency requirements. Reviewer-level audit trails. Discoverable, exportable outputs. Built for shops that compete on delivery, not on hours.
Most LPOs do not cut headcount — they take on more work at higher margin. The first pass is automated; reviewers move to exception handling, QA and higher-trust deliverables that command better rates.
Depends on your deployment choice. SaaS uses Indian-resident infrastructure. For end-client sensitive data, deploy to your VPC, on-prem, or air-gapped. Same product, your perimeter.
Yes. Draft is trained to honour client-specific templates, naming conventions and schema. One agent per client format if needed.
Every output is tagged by client, matter and reviewer. Dashboards show throughput, defect rate and deadline compliance per SLA. Examiner-ready audit trails on every job.
A senior specialist runs a representative sample through Ask, Interact and Draft live. You see throughput and quality before you commit.