AI Deposition Transcript Issue Coding Software: How to Evaluate a Litigation Support Vendor

Choosing AI deposition transcript issue coding software is not just a matter of comparing feature lists. A plaintiff personal injury firm needs to know whether a vendor can turn deposition material into accurate, traceable work product that fits the way the team prepares cases. The right evaluation begins with the task, not the product demo.

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What should a litigation support vendor evaluation answer?

A vendor evaluation should answer a practical question: will this service or tool help the firm complete a defined part of litigation work with acceptable quality, effort, risk, and cost? That question is more useful than asking whether a product has artificial intelligence, a long feature list, or a polished demonstration.

A small plaintiff firm may have substantial discovery work without a dedicated litigation support department. A tool that appears powerful in a presentation can still create extra review if it produces generic summaries, makes claims that are hard to trace, or requires a new process nobody can maintain. Start by naming the work under consideration.

This guide focuses on evaluating tools for deposition transcript issue coding: organizing testimony around case issues so a lawyer can review relevant passages, identify what needs follow-up, and prepare for later work. This is distinct from managing transcript files, correcting a transcript, deciding admissibility, organizing exhibits, or cataloging objections. Those are separate workflows and need their own criteria.

Issue coding is not a single standard output across vendors. One product may label passages using a firm's categories; another may summarize testimony or retrieve passages in response to questions. Those outputs can support each other, but they are not interchangeable. Ask what a vendor means by issue coding, inspect the work product, and establish which parts require attorney review.

A useful evaluation should answer five questions:

• What task will the vendor perform, and what remains with the attorney or staff?
• Can users verify important points against the transcript, including page and line?
• Does the workflow fit the firm's cases, files, and review habits?
• What data handling, access, retention, and contractual terms apply?
• What is the full cost for a realistic case or month, including review and setup?

Write down the answers before booking demos. They become the basis for a fair comparison and prevent a polished presentation from substituting for evidence.

It helps to separate the purchase decision into four layers. First is the task: the specific work the firm wants done. Second is the output: the artifact the team will inspect and use. Third is the operating process: who submits material, reviews it, corrects it, and stores the result. Fourth is governance: who is permitted to use the tool and what limits apply. A vendor can satisfy one layer and still be a poor fit overall.

For example, a useful-looking output may not reduce effort if a reviewer must rebuild its categories manually. A workflow that performs well for one transcript may be too cumbersome if it requires extra steps for every witness. A low initial price may not help if the firm cannot forecast charges or staff time. Evaluate the complete path from the transcript arriving to the reviewed work product being ready for its next use.

Which deposition task are you trying to improve?

“We need AI for depositions” is too broad to guide a purchase. A firm may mean finding testimony about a disputed fact, identifying possible inconsistencies, preparing a deposition summary, building an issue-coded record, or drafting an outline for another deposition. Each task needs different inputs and a different definition of a useful result.

Choose one primary use case for the initial evaluation. For example: after a deposition, the reviewing attorney needs a source-linked view of testimony relevant to liability, notice, causation, and damages, with uncertain or conflicting material easy to inspect. This statement is specific enough to test without prescribing a vendor's interface.

Define the boundaries. Decide whether the tool must handle a clean digital transcript or also scanned pages, exhibits, multiple witnesses, and records from other sources. Specify whether the user provides the issue categories or expects the vendor to propose them. Decide whether the output should be a searchable index, summary, categorized passages, draft analysis, or a combination. Do not assume that a feature name explains the delivered work.

Separate core requirements from preferences. A core requirement might be that each important passage can be checked in the transcript. A later-stage preference might be a particular export format or visual layout. Keep must-haves short and explicit so that interface differences do not distract from citation quality or review effort.

Consider how often the task occurs and where the bottleneck appears. If the firm is waiting on transcript review, estimate how many transcripts need attention in a typical month and who currently handles them. If attorneys already find testimony but struggle to compare it across a larger file set, design the test around that problem. Judge a product against the bottleneck it is meant to address, not a broad promise to speed up litigation.

Describe what success is not. The tool is not a substitute for legal judgment, a guarantee that relevant testimony will be found, or an independent determination of a case's merits. The attorney remains responsible for reviewing the record and deciding how to use the work product.

Turn the use case into a short work request that can be sent to every vendor. It might say: “Given one completed witness deposition, organize testimony under the firm's four case issues. Include a concise description of each passage, page-and-line references, and a way to review the surrounding testimony. Make unclear or unsupported points visible rather than filling gaps.” This example describes an evaluation need; adapt the categories and output to the firm's actual matter and process.

Then identify who will use the result and when. The person uploading a transcript may be a paralegal, while the attorney is the final reviewer. If the output is intended for a case meeting, specify whether the team needs a brief outline, a detailed passage index, or both. If it is meant to guide another deposition, the evaluation should check whether the results make follow-up questions easy to identify. These details affect what counts as a useful output.

Map the current process before deciding what change is worthwhile. List each handoff: receipt of the transcript, file preparation, assignment, review, note-taking, attorney check, and distribution. Record where work waits and where information gets copied between documents. A new tool may improve one step but add another. Having a simple process map allows the firm to distinguish genuine workflow improvement from a different interface for the same amount of work.

Keep the initial scope deliberately narrow. If the first evaluation simultaneously tests transcripts, medical records, exhibits, and cross-matter search, it becomes hard to tell which capability succeeded or failed. Start with the transcript task. Expand the scope only after the team knows how the core output behaves and what additional sources would add.

What should you require from an issue-coding workflow?

Ask for a walk-through using a realistic transcript, not only a prepared example. The demonstration should show the source file, processing steps, output, and how a reviewer checks that output. Inspect these parts of the workflow:

1. Input handling. Which transcript formats are accepted? How are scanned pages handled? What happens when formatting is imperfect or text is unreadable?
2. Issue definition. Can the firm provide case-specific categories? Can one passage relate to more than one issue? Can users edit a category or correct a label?
3. Passage retrieval. Can a reviewer move from a finding back to the original transcript and verify the location?
4. Output review. Can a lawyer flag uncertainty, add a note, reject a proposed grouping, and export the reviewed result?
5. Case context. Does the process consider only the transcript or other case documents too? If multiple sources are used, can a reviewer identify the source for each statement?

For one category, ask the vendor to show its definition, relevant passages, source references, and any generated summary. Ask what happens when testimony is ambiguous or a witness gives answers that may conflict. The goal is not to expect software to resolve every ambiguity. It is to see whether uncertainty remains visible and the source stays close at hand.

Do not accept “the AI finds the important parts” as a complete explanation. Ask what important means, whether the user can change the criteria, and how a reviewer can discover a missed passage. If the product is primarily a transcript summary or question-and-answer tool, ask whether it actually performs issue coding or offers a related but different capability. A summary can be helpful without being an issue index.

Follow one piece of testimony through the complete workflow. Begin with an actual transcript passage, note how the tool identifies and labels it, open the cited source, inspect the surrounding lines, and see how a reviewer corrects or rejects the result. Then find out what happens to that correction: is it reflected in the exported work product, kept as an annotation, or lost when the user moves to another screen? Do not assume an on-screen edit changes every downstream version.

Inspect how the tool handles overlap between issues. A sentence about a supervisor's knowledge might be relevant to notice and responsibility, while a discussion of restrictions might matter to both causation and damages. Ask whether the same passage can appear in multiple categories, whether the system explains why it was placed there, and whether a user can revise the categorization. If an item is assigned to only one label, determine whether that limitation would force duplicate review or hide useful context.

Ask how category names and instructions are supplied, and how much detail the firm can use. A broad label such as “causation” may be too general for the matter. The team might need subtopics or a brief description of what qualifies. Ask whether categories can be revised after the first pass and whether a re-run is needed. A good evaluation should account for the effort of setting up the taxonomy, not only the time spent reading the output.

Discuss the difference between a direct statement, a paraphrase, a conclusion, and a question for follow-up. These should not be treated as interchangeable. Ask the vendor to display examples of each, if available, and examine whether the wording preserves important qualifications. If a witness says they do not remember, a summary should not convert that answer into a categorical denial. The reviewer needs the ability to see what the source says and what the tool has inferred or condensed.

Ask how a reviewer notices missing coverage. Seeing a list of passages does not establish that all relevant testimony was found. Can the reviewer search the transcript, filter by category, or compare results with the source? Can the system indicate that a category has no supported passages, rather than leaving the user to guess whether processing failed? A pilot should include a way to identify omission risk, not merely inspect the entries that were returned.

Lastly, check the export and handoff. Can the output be saved in a format the team can actually review? Does it preserve page-and-line citations, category labels, and reviewer notes? Can staff identify the transcript version used? Does the export include generated material that has not yet been checked, or can the reviewed version be distinguished? The point is not to demand a particular file format in advance; it is to verify that the handoff does not strip away context the attorney needs.

How can you test accuracy and source traceability?

Accuracy is not a single score. A vendor may find a passage but assign it to the wrong issue. It may summarize testimony but omit a qualification. It may produce a plausible statement without a reference that lets a lawyer confirm it. Test these failure modes separately.

Prepare a small test set using material the firm is permitted to use. Select a transcript that reflects ordinary files and the testimony the team needs to review. Have a lawyer or experienced reviewer identify several known passages in advance. This creates a reference point without requiring the team to label every page.

Use a repeatable protocol:

1. Write down the issue categories and what qualifies as relevant.
2. Choose a clear example, a subtle example, and a passage that should not be included.
3. Run comparable material through each vendor using similar instructions.
4. Check whether each known passage was found, categorized usefully, and linked to the correct location.
5. Review summaries for meaning, context, omitted qualifications, and unsupported statements.
6. Record review time and corrections, not only whether the output looked convincing.

Check page-and-line references manually. Confirm that they lead to the stated testimony and preserve the speaker's meaning. A reference that exists but points to the wrong passage is not traceability.

Include a negative test. Ask about an issue for which the transcript contains no support, or choose a passage that mentions a topic without establishing the fact at issue. Observe whether the tool reports the absence of support, returns a qualified result, or presents a weak match as definitive. The reviewer should be able to distinguish a direct statement from an inference or a lead.

Test possible contradictions carefully. Different passages may concern different time periods or events, or a witness may have clarified an earlier answer. The tool may help locate both passages, but do not assume it decides whether they are legally inconsistent. Check whether it provides enough context for a human reviewer.

Keep a log with the expected result, actual result, source location, correction needed, and reviewer time. This is not a scientific benchmark. It is a disciplined comparison that exposes the types of errors that matter to the firm. Record differences in vendor workflows rather than pretending every test was identical.

Make the reference set small but varied. For each issue, include at least one passage the reviewer believes should be found, one close call, and one passage that uses related language but does not actually support the issue. For example, if the category is notice, the test might distinguish a witness describing a general practice from testimony that establishes when a particular person learned a particular fact. The point is not to prescribe a legal conclusion; it is to see whether the tool keeps those distinctions visible.

Use a worksheet with one row per expected passage. Record the witness, source page and line, issue category, why the passage matters to the test, whether the tool returned it, the label it received, and whether its quoted or summarized text is faithful. Add fields for nearby context reviewed, correction made, and time spent. This makes it easier to discuss a specific failure instead of saying only that one result felt inaccurate.

Separate recall from precision in everyday terms. Recall asks whether the tool surfaced the passages the reviewer expected to find. Precision asks whether the items it surfaced actually belong in that category. A very short list can look clean but omit useful testimony; a long list can contain the expected material but bury it in weak matches. You do not need to turn the pilot into a statistical study. Simply log both missed examples and unnecessary results so the firm sees the tradeoff.

Check each reference in context, not just the cited sentence. Read enough of the exchange to understand the question, answer, qualification, and any clarification. A passage may be accurate when isolated but misleading if a nearby answer changes its meaning. Record whether the output directs the reviewer to enough surrounding text to conduct this check efficiently. If opening the reference requires repeated searching or manual page navigation, include that friction in the review-time notes.

Test multiple speakers and ambiguous answers when the use case calls for them. A passage attributed to the wrong speaker can alter its meaning. A question may contain an assumption that the witness does not accept. A witness may answer “yes” only after a compound question. Note whether the product preserves speaker labels and enough of the question-and-answer exchange to assess the response. Do not rely on a short generated quotation when the surrounding dialogue matters.

When the tool misses an item, diagnose the kind of miss. Was the phrase unusual? Was the passage on a poorly formatted page? Did the reviewer provide a category that was too broad or too narrow? Did a related passage dominate the result? Record whether a reasonable user could detect and remedy the problem. A correctable miss is different from an error hidden behind a confident summary, although both may warrant attorney review.

Finally, repeat one test after changing an instruction or correcting a category. This shows whether refinements are manageable and whether revised instructions change the output in a predictable way. Preserve both versions. If a small instruction change leads to a materially different result, the firm needs to understand how users will control and document those changes. Do not compare one vendor's carefully refined run with another vendor's first attempt without noting the difference.

How should a firm score the results?

Use a scorecard that gives weight to legal usefulness and the effort required to verify outputs. For each item, rate the vendor from one to five and record the evidence. One means a requirement was not met or could not be shown. Three means it was partly met or needs meaningful workarounds. Five means the test showed a clear, usable result. Mark untested items as unknown.

• Source fidelity: Are passages accurately represented and easy to verify?
• Issue fit: Can output reflect the firm's definitions rather than only generic topics?
• Coverage: Did the test surface known relevant passages, including subtle examples?
• Review effort: How much time was needed to check, correct, and export results?
• Transparency: Can users see what the tool did and where uncertainty remains?
• Workflow fit: Can the team use the result in its existing case preparation?
• Data controls: Did the vendor explain access, storage, and deletion?
• Economics: Can the firm estimate total cost for expected volume and work patterns?

Set weights before comparing vendors. A small firm may emphasize source fidelity, review effort, and clear pricing. Another may care more about handling a broader file set. Write down why each criterion matters so the scorecard stays connected to the firm's needs.

Use the score as a discussion aid, not an automatic purchase decision. A low score on a critical requirement can outweigh a high total. A polished interface cannot compensate for references a reviewer cannot verify. Ask intended users to score independently, then resolve disagreements by returning to observed evidence.

Make the scorecard usable rather than elaborate. One page can contain the criteria, the rating, a short note pointing to the test evidence, the importance of the criterion, and any open question. A rating without a note is hard to interpret later. “Four” might mean good source links with one formatting issue, while the same number from another reviewer might mean a fast workflow with several corrections. Brief evidence notes make those differences explicit.

Here is a practical way to define the scale. A one means the criterion failed or the vendor could not show it. A two means the result was weak and would require substantial workaround. A three means the result was usable only with meaningful review or limitations. A four means the requirement was met with a manageable caveat. A five means the test showed a strong, repeatable result with little friction. An unknown is not a passing score; it is a reason to test, ask, or document the limitation.

Distinguish a critical gate from a weighted preference. For example, the firm may require verifiable sources and acceptable written data terms before proceeding at all. It may give a lower weight to interface appearance or a particular export convenience. State these gates before seeing vendor results. Otherwise, a compelling secondary feature can distract from a requirement the firm already considers essential.

When reviewers disagree, ask what each person actually observed. One may have valued the time saved finding a passage, while another noticed that the summary dropped a qualification. Return to the transcript and the work log. If the disagreement reflects different roles, capture both views: the staff user may judge setup effort, while the attorney may focus on how safely the output supports review. The decision-maker should understand the tradeoff, not average away a meaningful concern.

A scorecard can also distinguish current capability from a vendor statement about planned work. Give credit only to what was demonstrated or documented for the scope being evaluated. If a feature is unavailable, unclear, or dependent on a future change, mark it as an open item. A roadmap discussion may be relevant to follow-up, but it should not be counted as successful pilot evidence.

Which security and data questions should you ask?

Deposition transcripts and case files can contain sensitive client information. Before uploading test or production material, review the vendor's written terms and security practices. A general statement that a product is secure does not explain how the firm's data is handled.

Ask who can access files and outputs, whether access is limited by role, where data is stored, how long files are retained, and how deletion works when a file is removed or the relationship ends. Clarify whether the vendor or a service provider can use customer material to train or improve models, and what choices the firm has. Get answers in writing.

Ask about subprocessors, incident reporting, available security documentation, and contractual commitments. Do not infer a certification or legal compliance status from a product page or sales conversation; verify current documentation and scope. Consider whether the firm can restrict access by matter, export work product, and remove underlying material.

Do not upload confidential material into a trial account until the firm has confirmed that the terms and settings are suitable. Record unanswered questions as unresolved. TrialBase publishes information about its approach on its security and compliance page and in its AI addendum. Review the available materials and seek clarification where needed. Apply the same diligence to every vendor.

Use a data-flow checklist before any pilot. Identify who selects the transcript, who uploads it, what account is used, which users can see the matter, what output is saved, and how the source and result are removed if the test ends. Ask whether the vendor relies on outside providers for hosting or processing and what information about those providers is available. These questions do not replace the firm's own review of applicable duties, but they make the vendor conversation concrete.

Ask the vendor to distinguish between deleting a file from a user interface and deleting it from all relevant systems under the applicable terms. Ask what happens to generated output, backups, logs, and copies held by service providers. Do not assume that a delete control has a particular technical or contractual meaning. Get a clear explanation and keep the response with the evaluation record.

Clarify the firm's obligations for account administration. Determine how users are added and removed, whether access can be limited to a matter, what happens when a staff member leaves, and whether access records are available. If a vendor cannot answer a question during a demo, record it and request a written response rather than relying on memory. Security review is a separate decision gate, not a feature score that can be offset by convenience.

Choose test material only after this review. If the vendor permits a demonstration with synthetic or otherwise approved material, that may be preferable for the first look. If the team needs a real transcript to test formatting and issue fit, confirm that use is authorized and that the firm's requirements are met first. Avoid sending a full case file when a limited, relevant excerpt can answer the evaluation question.

How do you compare the full cost of a vendor?

A quoted license or processing price does not show the full cost of a workflow. A tool may charge by usage, matter, document, user, or another unit. Make sure the unit is clear and matches the way the firm works.

Ask each vendor to price the same realistic scenario, such as a representative month with the firm's expected number of depositions and approximate transcript volume. Ask what is included, which actions create additional charges, whether there are setup costs, and whether a minimum period or volume applies. Confirm how charges are disclosed and whether a user can see an estimate before processing.

Add the internal effort. Estimate time for preparing files, defining categories, checking references, correcting output, and transferring it into the firm's workflow. Use pilot observations rather than assuming review disappears. If usage varies, compare a busy month and a quiet month.

A comparison worksheet can include vendor charges, included storage and support, extra fees and their triggers, estimated staff review time, contract terms, and costs if volume changes. Separate known amounts from estimates and unanswered questions. Ensure the decision-maker understands the assumptions behind any example price.

TrialBase describes its AI platform as pay-as-you-go, with usage-based billing and no subscription or per-seat fees; its pricing page provides available pricing information. Review current terms and compare them with the same work scenario used for other vendors. The relevant comparison is total cost for expected use, including review time.

Make the scenario specific enough to produce a meaningful estimate. Note the expected number of transcripts, approximate page ranges, how many users will participate, how many times a result may need to be revised, and whether multiple witnesses or related documents are included. Do not give one vendor an unusually simple sample and another a complex one. If processing units differ, ask each provider to explain the equivalent charge for the same work request.

Separate direct charges from staff time. For direct charges, record the pricing unit, included features or services, any minimum purchase, and what triggers an additional charge. For staff effort, estimate the time spent preparing the source, setting up categories, waiting for output if relevant to the workflow, verifying citations, editing, and saving or sharing results. Convert staff effort into the firm's own internal cost only if the decision-maker has a consistent method; otherwise compare hours side by side rather than inventing a dollar value.

Consider the effect of uneven case volume. A small plaintiff practice may have quiet periods and bursts of discovery work. Compare a low-use scenario with a typical month and a busier period. Ask whether charges accrue only when work is requested or whether access, minimums, or commitments continue during slower periods. Capture the assumptions instead of relying on a single illustrative quote.

Do not compare an introductory offer with ongoing pricing as if they were equivalent. Ask how long any promotion applies, which work it covers, and what happens after it ends. Confirm whether the pricing information covers the task under test or a related product with different costs. If the vendor cannot provide an estimate for the planned pilot, list that as unresolved and avoid expanding usage until the firm can forecast it.

Include the cost of rework. Suppose a vendor's first output arrives quickly but reviewers need repeated searches to find the source, correct issue labels, or rebuild the result in a usable document. Those activities belong in the total-work estimate. Conversely, if the tool makes a task easier to inspect but does not eliminate attorney review, record that as a useful workflow benefit without treating review as gone. The evaluation should compare the work that actually remains.

At the end, present a range rather than false precision when the volume or review time is uncertain. Show the assumptions behind the low and high cases. A decision-maker can then see whether the choice is still reasonable if usage or correction effort differs from the pilot. Preserve vendor quotes and the date received, since terms may change and should be checked again before a later purchase.

What should you learn from a vendor demonstration?

Send the vendor the use case, must-have requirements, and test plan in advance. Ask the presenter to show the complete workflow for one task rather than moving quickly through a feature list. Use consistent questions:

1. How does a reviewer create or select issue categories for this matter?
2. Can you show a result and return to the exact supporting transcript passage?
3. What happens if the transcript does not contain an answer?
4. How does a user flag a wrong label, missing passage, or ambiguous statement?
5. What work must a lawyer still do before using the output?
6. What is included in the price for the scenario we described?

Ask the presenter to pause at each step. Find out whether the demonstration uses a live product, a prepared example, or a proposed capability. If a feature is not available yet, do not score it as though it passed the test. Where possible, have an intended user operate the tool.

Take notes on what was shown and what was only described. Ask how the system behaves when source files are difficult to read or issue definitions change. A vendor willing to discuss limits helps the firm plan a sound pilot. If the vendor cannot show the specific output required, record the gap.

Give the demonstration a simple agenda and keep it tied to the use case. Start by describing the task and the result the team wants to inspect. Then ask the presenter to show upload or intake, issue setup, output, source verification, correction, export, and the relevant cost information. Reserve time for the security questions, but do not let broad claims replace written answers. A focused session makes it easier to compare vendors afterward.

Notice where the presenter takes over. If only the vendor can create categories or interpret results, ask whether that reflects the normal user experience or a demonstration shortcut. Have a likely staff user try a routine action, such as locating a source citation or correcting a label. Record how much instruction was needed. Ease of use should be observed through the intended user's task, not inferred from a smooth presentation.

End by repeating open questions and assigning an owner for answers. Ask for documentation on pricing, data handling, retention, access, and any feature that was described but not shown. Keep separate columns in the notes for “demonstrated,” “documented,” and “not yet verified.” This prevents a verbal statement from becoming a remembered fact after several vendor meetings.

How should a small firm run a practical pilot?

A pilot should be small enough to manage and structured enough to support a decision. Start with one or two representative matters, a limited number of users, and a defined period. Name a supervising attorney who approves material and reviews results. Avoid an open-ended trial without success criteria.

Before starting, document the task, approved source material, issue categories, expected output, users, security settings, estimated usage, spending limit, and measures for deciding whether to continue. Record a baseline from the current process: who performs the work, the steps involved, approximate time, and what the final work product contains.

During the pilot, capture file-preparation time, time to obtain a first result, verification and correction time, errors found in review, and whether the material was useful in the next case-preparation step. Record problems as they happen. A note that a reference led to the wrong page is more useful than a later general rating.

Set a stop condition. If source references cannot be checked, data handling is unresolved, or cost cannot be estimated for the intended usage, pause while the issue is resolved. Do not expand access just because a trial period is ending. A useful pilot can lead to a decision not to proceed.

Use a written pilot brief. It can fit on one page and identify the question the pilot must answer, the materials permitted, the person who approves use, the users who will participate, and the date when results will be reviewed. State what will not be tested. For example, a transcript-only pilot should not be treated as proof that a product handles exhibits or a full case file. Scope statements prevent a small test from being misrepresented as a complete evaluation.

Pick materials that resemble normal work without selecting only the easiest transcript. A clean, well-formatted file is useful for confirming a basic workflow, but it may reveal little about the team's actual challenges. If authorized, include an ordinary transcript with representative testimony and a limited formatting complication that occurs in the firm's work. Do not choose sensitive material just to create a harder test. The supervising attorney should approve the sample and the scope.

Use a baseline that is specific enough to compare. Record the existing steps and approximate time by role, but do not turn a rough estimate into an exact performance claim. For instance, note the time spent preparing a source, locating known passages, drafting an issue-organized review document, and checking the result. If the current process varies by matter, record that variation. The goal is to compare the pilot with a real process, not an idealized estimate.

Assign responsibilities before uploading anything. Name the person who approves materials, the person who prepares the transcript, the intended reviewer, and the attorney who decides whether the output is useful. If one person holds multiple roles, say so. Also decide who records issues and how corrections are preserved. Clear ownership helps prevent an unreviewed output from being mistaken for final work product.

Run the pilot in stages. First, confirm that the authorized file can be processed and that the output can be opened. Second, verify references and categories against the known examples. Third, ask a user to complete the intended handoff, such as preparing a review outline. Fourth, discuss whether the result changed the team's next step. Stop between stages if a core requirement fails. There is no need to keep processing material simply because the account is available.

Track both the first run and any revised run. Note the instructions used, categories selected, changes made, and whether the correction improved the result. Without those details, a later reviewer cannot tell whether a change came from the product, the input, or a different user instruction. Keep the test record concise, but sufficiently clear for someone who did not attend the pilot to understand what happened.

Choose pilot measures that fit the decision. These may include the share of known passages located, whether source references matched, the number and type of corrections, minutes spent reviewing, ease of exporting, unresolved data questions, and total estimated cost for the test scenario. Do not measure only turnaround time. A quick result that requires extensive reconstruction may not help; a slower process may still be useful if it produces a result the team can efficiently verify.

Close the pilot with a short debrief. Ask the staff user what required extra steps, the attorney what was or was not trustworthy, and the decision-maker what remains unresolved. Review each failure and success against the initial criteria. Decide among proceed, extend a narrow test, or stop. Record the reason, the limits on any permitted use, and who must approve a broader rollout. This makes the pilot a decision process rather than an informal product trial.

How should you compare a specialized vendor with a broader legal AI tool?

Some vendors focus on one part of deposition work. Others offer tools for discovery and trial preparation across a larger case record. A broader platform may reduce handoffs, but breadth alone does not establish that a specific transcript issue-coding task is covered.

Compare products at the level of the actual job. Can each apply the firm's categories, preserve source references, and produce a result that fits the next step? Or is the relevant function a summary, question-and-answer interface, or general document analysis workflow? Ask vendors to demonstrate the same task on comparable material.

A system designed for larger case files may help connect testimony with other documents if that function is supported and permitted. The reviewer still needs to know which source supports each output. A platform that processes many pages is not automatically more accurate for a transcript task, and a specialized product is not automatically more precise. Test both.

TrialBase product information describes litigation agents for deposition summaries, deposition outlines, discovery drafting, and discovery responses. The deposition summary feature page describes a related workflow to inspect. Do not equate a summary or outline with issue coding unless the vendor demonstrates the required category-based output. Identify what a product does, what it supports indirectly, and what it does not claim to do.

Make a capability map for the candidate products. List the required task, the demonstrated output, the adjacent capability, and any gap. A summary that provides source-linked testimony may be useful as an input to a lawyer's issue review; it does not automatically create the firm's issue-coded index. An outline may help prepare a later examination but is not necessarily a map of what a witness already said. Precise labels prevent a related feature from being mistaken for a direct substitute.

Consider the value and the burden of broader scope. A single environment may make it easier to move among related work, but it may also present more options than the initial task needs. Ask whether the users can focus on the specific deposition workflow and whether the firm can understand what source material informed each result. Conversely, a narrow tool may be straightforward but require the team to move work between systems. Compare the actual handoffs in the proposed process.

Also distinguish a product platform from a service arrangement. One provider may supply software for the firm's own users; another may include people or managed work. That difference affects responsibility, turnaround expectations, review steps, data access, and price. Ask who does each task and what the firm receives. Do not compare a software-only demonstration with a managed service quote without accounting for the different work included.

What common evaluation mistakes should you avoid?

Choosing from a demo alone. Require a test using the firm's criteria and source-checking steps.

Confusing a summary with issue coding. A readable narrative may omit categories or passage-level organization. Define the required output first.

Scoring confidence instead of evidence. Verify passages and log errors, corrections, and uncertainty.

Ignoring review time. The first result is not finished work. Track the time needed to confirm citations and correct labels.

Comparing unlike pricing units. Use a shared scenario to compare charges and state assumptions.

Leaving security questions until later. Review data terms before uploading sensitive material.

Assuming future features are current. Score what the firm can test now, not a roadmap promise.

Another mistake is evaluating a perfect transcript instead of the input the team actually receives. A clean sample can show the basic interaction, but if the firm's files vary, the test should include a representative challenge after the basic path works. Record any limitation rather than quietly excluding it from the decision.

Do not ask an evaluation to answer every possible legal technology question at once. A sprawling test can obscure whether the product solves the original problem. Keep the first decision bounded. If cross-document reasoning, broader discovery work, or another case function is important, write a separate test case and decide whether it belongs in the same purchase decision.

Avoid treating an attractive summary as a verified record. Read the source, confirm the reference, and check the context. Likewise, avoid dismissing every imperfect result without considering whether a visible, correctable limitation fits the intended workflow. The key question is not whether a tool is flawless; it is whether its performance and known limits are acceptable for the specific, attorney-reviewed use the firm is considering.

Do not make the pilot so informal that nobody remembers what was tested. Save the scope, instructions, test worksheet, written answers, and decision note in an appropriate place. If the team revisits the purchase months later, the record will show why the first evaluation reached its conclusion and which questions need to be rechecked.

What is a sensible decision rule?

Summarize the decision in one page: the task, vendors tested, evidence, unresolved questions, expected cost, and recommendation. Identify limits on use, such as which outputs require attorney review or which file types were not tested.

Proceed only when essential requirements are met, data terms are acceptable, and intended users understand the workflow. If evidence is mixed, run one narrow test addressing the uncertainty. If the vendor cannot demonstrate a required capability, choose another option or keep the current process rather than treating a related feature as equivalent.

For a small plaintiff firm, the best choice is not necessarily the vendor with the most features or broadest claims. It is the option that performs the defined task with traceable work, manageable review, acceptable safeguards, and understandable cost.

Use a decision tree rather than allowing the overall score to decide by itself. If a critical requirement fails, stop or resolve the gap. If the critical requirements pass but a preference is weak, decide whether the tradeoff is acceptable. If a material issue remains untested, run a targeted test. If the result is promising but costs or data terms remain unclear, do not expand use until those questions are answered. This keeps the decision connected to the firm's own risk tolerance and process.

When the firm chooses to proceed, document the permitted scope. State which users may use the tool, what kinds of material are approved, what review is required, and what the output may support. A limited approval for transcript review is not necessarily approval for unrelated use or for every matter. Set a date to revisit the workflow after actual use, and compare experience with the assumptions made during the pilot.

If the firm decides not to proceed, preserve the useful learning. Record whether the issue was output quality, traceability, workflow burden, cost, security, or lack of a needed feature. That note can help the firm evaluate another option later without repeating every question. It can also show whether the current process needs a smaller improvement independent of purchasing new software.

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Frequently asked questions

What does AI deposition transcript issue coding software do?

The term can describe tools that organize transcript passages under case-specific or predefined issue categories. Vendors use different labels, so ask whether a product creates categorized passages, provides summaries, retrieves answers, or offers another output. Confirm that a reviewer can trace results to the transcript.

Is a deposition summary the same as issue coding?

No. A summary condenses testimony, while issue coding organizes material by topics or categories. A tool may provide one, the other, or both. Ask the vendor to demonstrate the output your team needs.

What should an attorney verify before using AI-generated transcript work?

Verify that cited passages support the stated point, preserve necessary context, and do not present uncertainty as settled fact. The attorney should review the source and decide how the work product may be used.

When should a firm stop a vendor pilot?

Pause if essential references cannot be verified, data handling is unresolved, the output does not match the defined task, or likely costs cannot be understood. Resolve the issue or end the pilot before expanding access.

A clear evaluation helps a firm separate a useful deposition workflow from a persuasive product demonstration and make a decision based on its own cases, people, and review standards.