LegalByte gives professional teams the AI pipeline to classify, extract, and cross-reference property documents automatically — so your lawyers spend their time on legal judgement, not document preparation.
“LegalByte cut our review time by 70%, letting us onboard 2× more clients each month.”
Rohit R Partner, LR Advocates, Bengaluru
Each with a different workflow — and a different reason why the current process does not scale.
Property advocates handling multiple client files simultaneously. Your lawyers know the law — the bottleneck is the days spent sorting and extracting documents before legal work can begin.
Credit teams approving loans against property collateral. A missed encumbrance or undisclosed mortgage today becomes a non-performing asset later. Speed and thoroughness must happen simultaneously.
Developers and brokerages verifying land parcels or advising buyers. A title surprise late in a deal costs time, money, and client trust. Catching it early changes the outcome entirely.
Most teams accept these as the cost of doing property due diligence. They are not. Each one is a step that AI handles faster and more consistently than a person — freeing your lawyers to do what they were trained for.
Clients hand over a pile of documents in no particular order — sale deeds, ECs, khata, tax receipts, mother deeds. A lawyer must first identify what each document is, what it covers, and what is missing before analysis can start. This alone consumes the bulk of time on every file.
Automatically identifies and classifies every document in the set. Each document is tagged by type and key information — owner names, survey numbers, registration dates, transaction amounts — extracted immediately. Your lawyer opens a structured, organised file, not a pile.
Once documents are identified, a lawyer must determine what should be there but is not — which ECs cover which periods, whether the mother deed is present, whether discharge certificates exist for past mortgages. Missing something here means discovering it at the end, when time is already gone.
Generates a missing document list automatically based on what the analysis finds and what it expects to find. Your lawyer gets a clear checklist to send to the client — at the start of the engagement, not after days of work.
Validating that every transaction in the title chain appears correctly in the encumbrance certificate — and vice versa — requires holding multiple documents in mind simultaneously. Checking whether a mortgage is still active or has been discharged requires tracing entries across different records. This takes hours of careful manual work on every file.
Cross-references title chain entries against EC records automatically. Mortgage entries are identified and their status — open or discharged — is flagged. Discrepancies between documents are surfaced. Your lawyer sees the connections, not the raw data.
Real estate law is complex. New lawyers find it difficult to know what to look for, especially in Kannada documents many of them cannot read fluently. Senior lawyers spend a disproportionate amount of time reviewing and correcting junior output. When juniors leave, that training cost is paid again from scratch.
Provides structured, consistent output regardless of who runs the file. Kannada documents are read accurately by the AI — language proficiency is no longer a bottleneck. Junior lawyers work from a structured base, reducing the review burden on seniors significantly.
Pulling together a complete due diligence report from notes, extracts, and a partially organised file is a substantial task. Details missed in this step get caught in review — pushing timelines back at the worst possible moment, when the client is waiting to proceed.
Produces a structured report draft from the analysis automatically. Your lawyer reviews the findings, makes changes where needed, and confirms the output — rather than building the report from scratch. What typically takes a day takes a fraction of that.
Property due diligence involves a great deal of work that does not require a qualified lawyer. LegalByte handles that work — so your team can focus on what does.
Classifying and organising an unstructured document dump takes 2–4 days manually. LegalByte identifies every document type, tags it, and extracts key information automatically — reducing that to hours.
Review quality should not depend on who handles the file or how experienced they are. AI extraction and cross-referencing runs the same checks on every file, consistently — giving senior lawyers a reliable base to work from.
Cross-referencing across dozens of documents — sale deeds against ECs, mortgage entries against discharge records — is error-prone when done manually. LegalByte does this automatically and flags what does not match.
Your team uploads the document set — however it arrives from the client. No pre-sorting required. English and Kannada both handled.
Documents identified and tagged. Key information extracted. Title chain traced. Missing documents flagged. Cross-references checked automatically.
Structured output with risk flags and findings presented to your team. Lawyers verify, apply their judgement, and make any changes before the report is finalised.
A complete, structured report — timestamped and ready for your client, credit file, or audit pack.
What is available today — built specifically for Bengaluru property due diligence.
Every document in the set is automatically identified — sale deed, EC, khata, mother deed, tax receipt — and tagged. Key fields extracted per document type. No manual sorting required from your team.
30+ year ownership trace. EC cross-referencing against deed entries. Mortgage identification and status check — open or discharged. RERA and layout approval verification.
Based on what the analysis finds and what it expects to find, a clear missing document list is generated automatically. Your team gets this at the start — not after days of work.
Karnataka property records are frequently in Kannada. LegalByte reads and extracts from Kannada documents accurately — removing the language bottleneck for lawyers who are not fluent.
Analysis presented as a structured report draft. Your lawyers review, verify findings, make changes where needed, and finalise. The report is built for you — not by you from scratch.
Need an EC, certified sale deed copy, or land record that is not in the file? We retrieve official documents from Karnataka government records and authenticate them before they enter your workflow.
All documents stored on encrypted cloud infrastructure. Access is account-controlled. We do not share data between clients and do not use your documents to train AI models — ever.
Every report is structured and timestamped. Built to go into credit files, client handover packs, and regulatory audit documentation — not just internal reference.
Built specifically for Karnataka's property law, land record systems, and document formats — including Kannada script. Not a generic platform stretched to fit local needs.
LegalByte processes documents and presents facts. It surfaces patterns, flags inconsistencies, and organises information — but it does not make legal decisions. The final judgement, verification, and sign-off on every report remains with your lawyers. The platform guides; your team decides.
We set up a structured evaluation where your team runs real files through the platform. You see actual output on your documents — not a curated demo. At the end, we review the results together and discuss fit and pricing.
LegalByte (Lexipro Solutions Pvt. Ltd.) is not a law firm and does not provide legal advice. Reports are for informational purposes only and do not constitute legal opinion. Engage a qualified advocate for registration, disputes, or complex transactions.
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